From 5be1bffd0f4712abc8dafc7b3de9a45a587b3add Mon Sep 17 00:00:00 2001 From: Houk Chen Date: Mon, 18 Feb 2019 17:14:31 +0800 Subject: [PATCH 01/28] update with devel branch --- .../inferences/face_detection.hpp | 2 +- .../inferences/object_detection.hpp | 3 +- .../src/inferences/face_detection.cpp | 4 +-- .../src/inferences/object_detection.cpp | 21 +++----------- dynamic_vino_lib/src/pipeline_manager.cpp | 28 +++++++++---------- .../include/vino_param_lib/param_manager.hpp | 1 + vino_param_lib/src/param_manager.cpp | 1 + 7 files changed, 24 insertions(+), 36 deletions(-) diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/inferences/face_detection.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/inferences/face_detection.hpp index aabb0ea4..a077d72d 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/inferences/face_detection.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/inferences/face_detection.hpp @@ -53,7 +53,7 @@ class FaceDetectionResult : public ObjectDetectionResult { */ class FaceDetection : public ObjectDetection { public: - explicit FaceDetection(double); + explicit FaceDetection(bool, double); }; } // namespace dynamic_vino_lib #endif // DYNAMIC_VINO_LIB__INFERENCES__FACE_DETECTION_HPP_ diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/inferences/object_detection.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/inferences/object_detection.hpp index 96f03884..17b7e45d 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/inferences/object_detection.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/inferences/object_detection.hpp @@ -59,7 +59,7 @@ class ObjectDetectionResult : public Result { class ObjectDetection : public BaseInference { public: using Result = dynamic_vino_lib::ObjectDetectionResult; - explicit ObjectDetection(double); + explicit ObjectDetection(bool, double); ~ObjectDetection() override; /** * @brief Load the face detection model. @@ -116,6 +116,7 @@ class ObjectDetection : public BaseInference { int max_proposal_count_; int object_size_; double show_output_thresh_ = 0; + bool checkroi_ = false; }; } // namespace dynamic_vino_lib #endif // DYNAMIC_VINO_LIB__INFERENCES__OBJECT_DETECTION_HPP_ diff --git a/dynamic_vino_lib/src/inferences/face_detection.cpp b/dynamic_vino_lib/src/inferences/face_detection.cpp index cc2baae8..58ddb1b5 100644 --- a/dynamic_vino_lib/src/inferences/face_detection.cpp +++ b/dynamic_vino_lib/src/inferences/face_detection.cpp @@ -34,6 +34,6 @@ dynamic_vino_lib::FaceDetectionResult::FaceDetectionResult( : ObjectDetectionResult(location){} // FaceDetection -dynamic_vino_lib::FaceDetection::FaceDetection(double show_output_thresh) - : ObjectDetection(show_output_thresh){} +dynamic_vino_lib::FaceDetection::FaceDetection(bool checkroi, double show_output_thresh) + : ObjectDetection(checkroi, show_output_thresh){} diff --git a/dynamic_vino_lib/src/inferences/object_detection.cpp b/dynamic_vino_lib/src/inferences/object_detection.cpp index f631561d..e58a6cf7 100644 --- a/dynamic_vino_lib/src/inferences/object_detection.cpp +++ b/dynamic_vino_lib/src/inferences/object_detection.cpp @@ -29,8 +29,8 @@ dynamic_vino_lib::ObjectDetectionResult::ObjectDetectionResult( const cv::Rect& location) : Result(location){} // ObjectDetection -dynamic_vino_lib::ObjectDetection::ObjectDetection(double show_output_thresh) - : show_output_thresh_(show_output_thresh), +dynamic_vino_lib::ObjectDetection::ObjectDetection(bool checkroi, double show_output_thresh) + : show_output_thresh_(show_output_thresh), checkroi_(checkroi), dynamic_vino_lib::BaseInference(){} dynamic_vino_lib::ObjectDetection::~ObjectDetection() = default; void dynamic_vino_lib::ObjectDetection::loadNetwork( @@ -71,24 +71,11 @@ bool dynamic_vino_lib::ObjectDetection::fetchResults() { cv::Rect r; auto label_num = static_cast(detections[i * object_size_ + 1]); std::vector& labels = valid_model_->getLabels(); - r.x = static_cast(detections[i * object_size_ + 3] * width_); - if (r.x < 0) - r.x = 0; - r.y = static_cast(detections[i * object_size_ + 4] * height_); - if (r.y < 0) - r.y = 0; - r.width = static_cast(detections[i * object_size_ + 5] * width_ - r.x); - if (r.width < 0) - r.width = 0; - - r.height = - static_cast(detections[i * object_size_ + 6] * height_ - r.y); - if (r.height < 0) - r.height = 0; - + r.height = static_cast(detections[i * object_size_ + 6] * height_ - r.y); + if (checkroi_) r &= cv::Rect(0, 0, width_, height_); Result result(r); result.label_ = label_num < labels.size() ? labels[label_num] diff --git a/dynamic_vino_lib/src/pipeline_manager.cpp b/dynamic_vino_lib/src/pipeline_manager.cpp index 570e37a9..59e1c7a7 100644 --- a/dynamic_vino_lib/src/pipeline_manager.cpp +++ b/dynamic_vino_lib/src/pipeline_manager.cpp @@ -218,18 +218,7 @@ PipelineManager::parseInference( std::shared_ptr PipelineManager::createFaceDetection( const Params::ParamManager::InferenceParams& infer) { - // TODO: add batch size in param_manager - auto face_detection_model = - std::make_shared(infer.model, 1, 1, 1); - face_detection_model->modelInit(); - auto face_detection_engine = std::make_shared( - plugins_for_devices_[infer.engine], face_detection_model); - auto face_inference_ptr = std::make_shared( - 0.5); // TODO: add output_threshold in param_manager - face_inference_ptr->loadNetwork(face_detection_model); - face_inference_ptr->loadEngine(face_detection_engine); - - return face_inference_ptr; + return createObjectDetection(infer); } std::shared_ptr @@ -280,9 +269,18 @@ PipelineManager::createHeadPoseEstimation( std::shared_ptr PipelineManager::createObjectDetection( const Params::ParamManager::InferenceParams& infer) { - // TODO: not implemented yet - - return createFaceDetection(infer); + // TODO: add batch size in param_manager + auto object_detection_model = + std::make_shared(infer.model, 1, 1, 1); + object_detection_model->modelInit(); + auto object_detection_engine = std::make_shared( + plugins_for_devices_[infer.engine], object_detection_model); + auto object_inference_ptr = std::make_shared( + infer.checkroi, 0.5); // TODO: add output_threshold in param_manager + object_inference_ptr->loadNetwork(object_detection_model); + object_inference_ptr->loadEngine(object_detection_engine); + + return object_inference_ptr; } std::shared_ptr diff --git a/vino_param_lib/include/vino_param_lib/param_manager.hpp b/vino_param_lib/include/vino_param_lib/param_manager.hpp index 02971039..3f6f2a67 100644 --- a/vino_param_lib/include/vino_param_lib/param_manager.hpp +++ b/vino_param_lib/include/vino_param_lib/param_manager.hpp @@ -62,6 +62,7 @@ class ParamManager // singleton std::string engine; std::string model; std::string label; + bool checkroi; }; struct PipelineParams { std::string name; diff --git a/vino_param_lib/src/param_manager.cpp b/vino_param_lib/src/param_manager.cpp index 6e9ba9a6..d8e8f623 100644 --- a/vino_param_lib/src/param_manager.cpp +++ b/vino_param_lib/src/param_manager.cpp @@ -88,6 +88,7 @@ void operator>>(const YAML::Node& node, ParamManager::InferenceParams& infer) { YAML_PARSE(node, "model", infer.model) YAML_PARSE(node, "engine", infer.engine) YAML_PARSE(node, "label", infer.label) + YAML_PARSE(node, "checkroi", infer.checkroi) slog::info << "Inference Params:name=" << infer.name << slog::endl; } From f374eeae538589f81efcfcb922b95656ce4b7e67 Mon Sep 17 00:00:00 2001 From: Houk Chen Date: Wed, 20 Feb 2019 14:00:05 +0800 Subject: [PATCH 02/28] adjust yaml files --- dynamic_vino_lib/src/pipeline_manager.cpp | 2 +- sample/param/image_object_server.yaml | 1 + sample/param/image_object_server_oss.yaml | 1 + sample/param/image_people_server.yaml | 1 + sample/param/pipeline_image.yaml | 1 + sample/param/pipeline_image_oss.yaml | 1 + sample/param/pipeline_image_video.yaml | 1 + sample/param/pipeline_object.yaml | 1 + sample/param/pipeline_object_oss.yaml | 1 + sample/param/pipeline_object_oss_topic.yaml | 1 + sample/param/pipeline_object_topic.yaml | 1 + sample/param/pipeline_people_myriad.yaml | 1 + sample/param/pipeline_people_oss.yaml | 1 + vino_param_lib/include/vino_param_lib/param_manager.hpp | 2 +- vino_param_lib/src/param_manager.cpp | 2 +- 15 files changed, 15 insertions(+), 3 deletions(-) diff --git a/dynamic_vino_lib/src/pipeline_manager.cpp b/dynamic_vino_lib/src/pipeline_manager.cpp index f787543c..bb10ab37 100644 --- a/dynamic_vino_lib/src/pipeline_manager.cpp +++ b/dynamic_vino_lib/src/pipeline_manager.cpp @@ -263,7 +263,7 @@ PipelineManager::createObjectDetection( auto object_detection_engine = std::make_shared( plugins_for_devices_[infer.engine], object_detection_model); auto object_inference_ptr = std::make_shared( - infer.checkroi, 0.5); // TODO(weizhi): add output_threshold in param_manager + infer.enable_roi_constraint, 0.5); // TODO(weizhi): add output_threshold in param_manager object_inference_ptr->loadNetwork(object_detection_model); object_inference_ptr->loadEngine(object_detection_engine); diff --git a/sample/param/image_object_server.yaml b/sample/param/image_object_server.yaml index ace5d1c6..98b15653 100644 --- a/sample/param/image_object_server.yaml +++ b/sample/param/image_object_server.yaml @@ -7,6 +7,7 @@ Pipelines: engine: CPU label: to/be/set/xxx.labels batch: 16 + enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame outputs: [RosService] confidence_threshold: 0.2 connects: diff --git a/sample/param/image_object_server_oss.yaml b/sample/param/image_object_server_oss.yaml index 229bf2da..e057224a 100644 --- a/sample/param/image_object_server_oss.yaml +++ b/sample/param/image_object_server_oss.yaml @@ -7,6 +7,7 @@ Pipelines: engine: CPU label: to/be/set/xxx.labels batch: 16 + enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame outputs: [RosService] confidence_threshold: 0.2 connects: diff --git a/sample/param/image_people_server.yaml b/sample/param/image_people_server.yaml index e923b0a1..77614001 100644 --- a/sample/param/image_people_server.yaml +++ b/sample/param/image_people_server.yaml @@ -7,6 +7,7 @@ Pipelines: engine: CPU label: /opt/intel/computer_vision_sdk/deployment_tools/intel_models/face-detection-adas-0001/FP32/face-detection-adas-0001.labels batch: 1 + enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame - name: AgeGenderRecognition model: /opt/intel/computer_vision_sdk/deployment_tools/intel_models/age-gender-recognition-retail-0013/FP32/age-gender-recognition-retail-0013.xml engine: CPU diff --git a/sample/param/pipeline_image.yaml b/sample/param/pipeline_image.yaml index 8d3b76f9..d441c8a5 100644 --- a/sample/param/pipeline_image.yaml +++ b/sample/param/pipeline_image.yaml @@ -8,6 +8,7 @@ Pipelines: engine: CPU label: /opt/intel/computer_vision_sdk/deployment_tools/intel_models/face-detection-adas-0001/FP32/face-detection-adas-0001.labels batch: 1 + enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame - name: AgeGenderRecognition model: /opt/intel/computer_vision_sdk/deployment_tools/intel_models/age-gender-recognition-retail-0013/FP32/age-gender-recognition-retail-0013.xml engine: CPU diff --git a/sample/param/pipeline_image_oss.yaml b/sample/param/pipeline_image_oss.yaml index cbc207ab..76292ea9 100644 --- a/sample/param/pipeline_image_oss.yaml +++ b/sample/param/pipeline_image_oss.yaml @@ -8,6 +8,7 @@ Pipelines: engine: CPU label: to/be/set/xxx.labels batch: 1 + enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame - name: AgeGenderRecognition model: /opt/openvino_toolkit/open_model_zoo/model_downloader/Retail/object_attributes/age_gender/dldt/age-gender-recognition-retail-0013.xml engine: CPU diff --git a/sample/param/pipeline_image_video.yaml b/sample/param/pipeline_image_video.yaml index 7d6e72cb..84877ffb 100644 --- a/sample/param/pipeline_image_video.yaml +++ b/sample/param/pipeline_image_video.yaml @@ -8,6 +8,7 @@ Pipelines: engine: CPU label: /opt/intel/computer_vision_sdk/deployment_tools/intel_models/face-detection-adas-0001/FP32/face-detection-adas-0001.labels batch: 1 + enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame - name: AgeGenderRecognition model: /opt/intel/computer_vision_sdk/deployment_tools/intel_models/age-gender-recognition-retail-0013/FP32/age-gender-recognition-retail-0013.xml engine: CPU diff --git a/sample/param/pipeline_object.yaml b/sample/param/pipeline_object.yaml index a801edac..e4bcd271 100644 --- a/sample/param/pipeline_object.yaml +++ b/sample/param/pipeline_object.yaml @@ -7,6 +7,7 @@ Pipelines: engine: CPU label: to/be/set/xxx.labels batch: 16 + enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame outputs: [ImageWindow, RosTopic, RViz] confidence_threshold: 0.2 connects: diff --git a/sample/param/pipeline_object_oss.yaml b/sample/param/pipeline_object_oss.yaml index d524ca05..0e53cc07 100644 --- a/sample/param/pipeline_object_oss.yaml +++ b/sample/param/pipeline_object_oss.yaml @@ -7,6 +7,7 @@ Pipelines: engine: CPU label: to/be/set/xxx.labels batch: 16 + enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame outputs: [ImageWindow, RosTopic, RViz] confidence_threshold: 0.2 connects: diff --git a/sample/param/pipeline_object_oss_topic.yaml b/sample/param/pipeline_object_oss_topic.yaml index 4a1f0fc5..53d9bd9b 100644 --- a/sample/param/pipeline_object_oss_topic.yaml +++ b/sample/param/pipeline_object_oss_topic.yaml @@ -7,6 +7,7 @@ Pipelines: engine: CPU label: to/be/set/xxx.labels batch: 16 + enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame outputs: [ImageWindow, RosTopic, RViz] confidence_threshold: 0.2 connects: diff --git a/sample/param/pipeline_object_topic.yaml b/sample/param/pipeline_object_topic.yaml index 1a4c65bf..b844ab6d 100644 --- a/sample/param/pipeline_object_topic.yaml +++ b/sample/param/pipeline_object_topic.yaml @@ -7,6 +7,7 @@ Pipelines: engine: CPU label: to/be/set/xxx.labels batch: 16 + enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame outputs: [ImageWindow, RosTopic, RViz] confidence_threshold: 0.2 connects: diff --git a/sample/param/pipeline_people_myriad.yaml b/sample/param/pipeline_people_myriad.yaml index 24294b04..13d0d541 100644 --- a/sample/param/pipeline_people_myriad.yaml +++ b/sample/param/pipeline_people_myriad.yaml @@ -7,6 +7,7 @@ Pipelines: engine: MYRIAD label: /opt/intel/computer_vision_sdk/deployment_tools/intel_models/face-detection-adas-0001/FP32/face-detection-adas-0001.labels batch: 1 + enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame - name: AgeGenderRecognition model: /opt/intel/computer_vision_sdk/deployment_tools/intel_models/age-gender-recognition-retail-0013/FP32/age-gender-recognition-retail-0013.xml engine: CPU diff --git a/sample/param/pipeline_people_oss.yaml b/sample/param/pipeline_people_oss.yaml index 7fc822a1..2e0de330 100644 --- a/sample/param/pipeline_people_oss.yaml +++ b/sample/param/pipeline_people_oss.yaml @@ -7,6 +7,7 @@ Pipelines: engine: CPU label: to/be/set/xxx.labels batch: 1 + enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame - name: AgeGenderRecognition model: /opt/openvino_toolkit/open_model_zoo/model_downloader/Retail/object_attributes/age_gender/dldt/age-gender-recognition-retail-0013.xml engine: CPU diff --git a/vino_param_lib/include/vino_param_lib/param_manager.hpp b/vino_param_lib/include/vino_param_lib/param_manager.hpp index aa20b0a3..7f165c7a 100644 --- a/vino_param_lib/include/vino_param_lib/param_manager.hpp +++ b/vino_param_lib/include/vino_param_lib/param_manager.hpp @@ -64,7 +64,7 @@ class ParamManager // singleton std::string engine; std::string model; std::string label; - bool checkroi; + bool enable_roi_constraint; }; struct PipelineParams { diff --git a/vino_param_lib/src/param_manager.cpp b/vino_param_lib/src/param_manager.cpp index 33ab58c9..402013d0 100644 --- a/vino_param_lib/src/param_manager.cpp +++ b/vino_param_lib/src/param_manager.cpp @@ -91,7 +91,7 @@ void operator>>(const YAML::Node & node, ParamManager::InferenceParams & infer) YAML_PARSE(node, "model", infer.model) YAML_PARSE(node, "engine", infer.engine) YAML_PARSE(node, "label", infer.label) - YAML_PARSE(node, "checkroi", infer.checkroi) + YAML_PARSE(node, "enable_roi_constraint", infer.enable_roi_constraint) slog::info << "Inference Params:name=" << infer.name << slog::endl; } From 4f438912493ec53a3b4b7bdd52896c5c58423e8a Mon Sep 17 00:00:00 2001 From: Houk Chen Date: Wed, 20 Feb 2019 14:15:00 +0800 Subject: [PATCH 03/28] update enable_roi_constraint parameter in yamls --- vino_param_lib/src/param_manager.cpp | 1 + 1 file changed, 1 insertion(+) diff --git a/vino_param_lib/src/param_manager.cpp b/vino_param_lib/src/param_manager.cpp index 402013d0..e81f1bbd 100644 --- a/vino_param_lib/src/param_manager.cpp +++ b/vino_param_lib/src/param_manager.cpp @@ -150,6 +150,7 @@ void ParamManager::print() const slog::info << "\t\tModel: " << infer.model << slog::endl; slog::info << "\t\tEngine: " << infer.engine << slog::endl; slog::info << "\t\tLabel: " << infer.label << slog::endl; + slog::info << "\t\tEnable_roi_constraint: " << infer.enable_roi_constraint < Date: Wed, 20 Feb 2019 17:03:53 +0800 Subject: [PATCH 04/28] code reformat --- .../dynamic_vino_lib/inferences/object_detection.hpp | 2 +- dynamic_vino_lib/src/inferences/face_detection.cpp | 6 ++++-- dynamic_vino_lib/src/inferences/object_detection.cpp | 9 ++++++--- 3 files changed, 11 insertions(+), 6 deletions(-) diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/inferences/object_detection.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/inferences/object_detection.hpp index 7f5f9705..efdd4a11 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/inferences/object_detection.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/inferences/object_detection.hpp @@ -125,7 +125,7 @@ class ObjectDetection : public BaseInference int max_proposal_count_; int object_size_; double show_output_thresh_ = 0; - bool checkroi_ = false; + bool enable_roi_constraint_ = false; }; } // namespace dynamic_vino_lib #endif // DYNAMIC_VINO_LIB__INFERENCES__OBJECT_DETECTION_HPP_ diff --git a/dynamic_vino_lib/src/inferences/face_detection.cpp b/dynamic_vino_lib/src/inferences/face_detection.cpp index 13481962..0e6bb1d7 100644 --- a/dynamic_vino_lib/src/inferences/face_detection.cpp +++ b/dynamic_vino_lib/src/inferences/face_detection.cpp @@ -33,7 +33,9 @@ dynamic_vino_lib::FaceDetectionResult::FaceDetectionResult(const cv::Rect & loca } // FaceDetection -dynamic_vino_lib::FaceDetection::FaceDetection(bool checkroi, double show_output_thresh) -: ObjectDetection(checkroi, show_output_thresh) +dynamic_vino_lib::FaceDetection::FaceDetection( + bool enable_roi_constraint, + double show_output_thresh) +: ObjectDetection(enable_roi_constraint, show_output_thresh) { } diff --git a/dynamic_vino_lib/src/inferences/object_detection.cpp b/dynamic_vino_lib/src/inferences/object_detection.cpp index 210d0f51..7bc5f870 100644 --- a/dynamic_vino_lib/src/inferences/object_detection.cpp +++ b/dynamic_vino_lib/src/inferences/object_detection.cpp @@ -29,8 +29,11 @@ dynamic_vino_lib::ObjectDetectionResult::ObjectDetectionResult(const cv::Rect & { } // ObjectDetection -dynamic_vino_lib::ObjectDetection::ObjectDetection(bool checkroi, double show_output_thresh) -: show_output_thresh_(show_output_thresh), checkroi_(checkroi), dynamic_vino_lib::BaseInference() +dynamic_vino_lib::ObjectDetection::ObjectDetection( + bool enable_roi_constraint, + double show_output_thresh) +: show_output_thresh_(show_output_thresh), + enable_roi_constraint_(enable_roi_constraint), dynamic_vino_lib::BaseInference() { } @@ -85,7 +88,7 @@ bool dynamic_vino_lib::ObjectDetection::fetchResults() r.y = static_cast(detections[i * object_size_ + 4] * height_); r.width = static_cast(detections[i * object_size_ + 5] * width_ - r.x); r.height = static_cast(detections[i * object_size_ + 6] * height_ - r.y); - if (checkroi_) {r &= cv::Rect(0, 0, width_, height_);} + if (enable_roi_constraint_) {r &= cv::Rect(0, 0, width_, height_);} Result result(r); result.label_ = label_num < labels.size() ? labels[label_num] : std::string("label #") + std::to_string(label_num); From 7ab06931c218841dc46c2b7fef3081cea6b22528 Mon Sep 17 00:00:00 2001 From: Houk Chen Date: Thu, 21 Feb 2019 16:51:25 +0800 Subject: [PATCH 05/28] adjust confidence_threshold parameter's position in yaml files --- dynamic_vino_lib/src/pipeline_manager.cpp | 6 +++--- sample/param/image_object_server.yaml | 4 ++-- sample/param/image_object_server_oss.yaml | 2 +- sample/param/image_people_server.yaml | 2 +- sample/param/pipeline_image.yaml | 2 +- sample/param/pipeline_image_oss.yaml | 2 +- sample/param/pipeline_image_video.yaml | 2 +- sample/param/pipeline_object.yaml | 8 ++++---- sample/param/pipeline_object_oss.yaml | 4 ++-- sample/param/pipeline_object_oss_topic.yaml | 4 ++-- sample/param/pipeline_object_topic.yaml | 4 ++-- sample/param/pipeline_people_myriad.yaml | 2 +- sample/param/pipeline_people_oss.yaml | 2 +- sample/param/pipeline_segmentation.yaml | 2 +- sample/param/pipeline_video.yaml | 2 +- .../include/vino_param_lib/param_manager.hpp | 4 +++- vino_param_lib/src/param_manager.cpp | 16 ++++++++++++++++ 17 files changed, 43 insertions(+), 25 deletions(-) diff --git a/dynamic_vino_lib/src/pipeline_manager.cpp b/dynamic_vino_lib/src/pipeline_manager.cpp index bb10ab37..ab7d3a93 100644 --- a/dynamic_vino_lib/src/pipeline_manager.cpp +++ b/dynamic_vino_lib/src/pipeline_manager.cpp @@ -256,14 +256,13 @@ std::shared_ptr PipelineManager::createObjectDetection( const Params::ParamManager::InferenceParams & infer) { - // TODO(weizhi): add batch size in param_manager auto object_detection_model = std::make_shared(infer.model, 1, 1, 1); object_detection_model->modelInit(); auto object_detection_engine = std::make_shared( plugins_for_devices_[infer.engine], object_detection_model); auto object_inference_ptr = std::make_shared( - infer.enable_roi_constraint, 0.5); // TODO(weizhi): add output_threshold in param_manager + infer.enable_roi_constraint, infer.confidence_threshold); object_inference_ptr->loadNetwork(object_detection_model); object_inference_ptr->loadEngine(object_detection_engine); @@ -278,7 +277,8 @@ PipelineManager::createObjectSegmentation(const Params::ParamManager::InferenceP obejct_segmentation_model->modelInit(); auto obejct_segmentation_engine = std::make_shared( plugins_for_devices_[infer.engine], obejct_segmentation_model); - auto segmentation_inference_ptr = std::make_shared(0.5); + auto segmentation_inference_ptr = std::make_shared( + infer.confidence_threshold); segmentation_inference_ptr->loadNetwork(obejct_segmentation_model); segmentation_inference_ptr->loadEngine(obejct_segmentation_engine); diff --git a/sample/param/image_object_server.yaml b/sample/param/image_object_server.yaml index 98b15653..7bd5495c 100644 --- a/sample/param/image_object_server.yaml +++ b/sample/param/image_object_server.yaml @@ -6,10 +6,10 @@ Pipelines: model: /opt/intel/computer_vision_sdk/deployment_tools/model_downloader/object_detection/common/ssd/300/caffe/output/ssd300.xml engine: CPU label: to/be/set/xxx.labels - batch: 16 + batch: 1 + confidence_threshold: 0.5 enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame outputs: [RosService] - confidence_threshold: 0.2 connects: - left: Image right: [ObjectDetection] diff --git a/sample/param/image_object_server_oss.yaml b/sample/param/image_object_server_oss.yaml index e057224a..e107b415 100644 --- a/sample/param/image_object_server_oss.yaml +++ b/sample/param/image_object_server_oss.yaml @@ -7,9 +7,9 @@ Pipelines: engine: CPU label: to/be/set/xxx.labels batch: 16 + confidence_threshold: 0.5 enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame outputs: [RosService] - confidence_threshold: 0.2 connects: - left: Image right: [ObjectDetection] diff --git a/sample/param/image_people_server.yaml b/sample/param/image_people_server.yaml index 77614001..96ecbb55 100644 --- a/sample/param/image_people_server.yaml +++ b/sample/param/image_people_server.yaml @@ -7,6 +7,7 @@ Pipelines: engine: CPU label: /opt/intel/computer_vision_sdk/deployment_tools/intel_models/face-detection-adas-0001/FP32/face-detection-adas-0001.labels batch: 1 + confidence_threshold: 0.5 enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame - name: AgeGenderRecognition model: /opt/intel/computer_vision_sdk/deployment_tools/intel_models/age-gender-recognition-retail-0013/FP32/age-gender-recognition-retail-0013.xml @@ -24,7 +25,6 @@ Pipelines: label: to/be/set/xxx.labels batch: 16 outputs: [ImageWindow, RosTopic, RViz] - confidence_threshold: 0.2 connects: - left: Image right: [FaceDetection] diff --git a/sample/param/pipeline_image.yaml b/sample/param/pipeline_image.yaml index d441c8a5..9b01c9d9 100644 --- a/sample/param/pipeline_image.yaml +++ b/sample/param/pipeline_image.yaml @@ -8,6 +8,7 @@ Pipelines: engine: CPU label: /opt/intel/computer_vision_sdk/deployment_tools/intel_models/face-detection-adas-0001/FP32/face-detection-adas-0001.labels batch: 1 + confidence_threshold: 0.5 enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame - name: AgeGenderRecognition model: /opt/intel/computer_vision_sdk/deployment_tools/intel_models/age-gender-recognition-retail-0013/FP32/age-gender-recognition-retail-0013.xml @@ -25,7 +26,6 @@ Pipelines: label: to/be/set/xxx.labels batch: 16 outputs: [ImageWindow, RosTopic, RViz] - confidence_threshold: 0.2 connects: - left: Image right: [FaceDetection] diff --git a/sample/param/pipeline_image_oss.yaml b/sample/param/pipeline_image_oss.yaml index 76292ea9..09417cec 100644 --- a/sample/param/pipeline_image_oss.yaml +++ b/sample/param/pipeline_image_oss.yaml @@ -8,6 +8,7 @@ Pipelines: engine: CPU label: to/be/set/xxx.labels batch: 1 + confidence_threshold: 0.5 enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame - name: AgeGenderRecognition model: /opt/openvino_toolkit/open_model_zoo/model_downloader/Retail/object_attributes/age_gender/dldt/age-gender-recognition-retail-0013.xml @@ -25,7 +26,6 @@ Pipelines: label: to/be/set/xxx.labels batch: 16 outputs: [ImageWindow, RosTopic, RViz] - confidence_threshold: 0.2 connects: - left: Image right: [FaceDetection] diff --git a/sample/param/pipeline_image_video.yaml b/sample/param/pipeline_image_video.yaml index 84877ffb..dd3f2e80 100644 --- a/sample/param/pipeline_image_video.yaml +++ b/sample/param/pipeline_image_video.yaml @@ -8,6 +8,7 @@ Pipelines: engine: CPU label: /opt/intel/computer_vision_sdk/deployment_tools/intel_models/face-detection-adas-0001/FP32/face-detection-adas-0001.labels batch: 1 + confidence_threshold: 0.5 enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame - name: AgeGenderRecognition model: /opt/intel/computer_vision_sdk/deployment_tools/intel_models/age-gender-recognition-retail-0013/FP32/age-gender-recognition-retail-0013.xml @@ -25,7 +26,6 @@ Pipelines: label: to/be/set/xxx.labels batch: 16 outputs: [ImageWindow, RosTopic, RViz] - confidence_threshold: 0.2 connects: - left: Video right: [FaceDetection] diff --git a/sample/param/pipeline_object.yaml b/sample/param/pipeline_object.yaml index e4bcd271..dfa7bcfa 100644 --- a/sample/param/pipeline_object.yaml +++ b/sample/param/pipeline_object.yaml @@ -1,17 +1,17 @@ Pipelines: - name: object - inputs: [RealSenseCamera] + inputs: [StandardCamera] infers: - name: ObjectDetection model: /opt/intel/computer_vision_sdk/deployment_tools/intel_models/person-vehicle-bike-detection-crossroad-0078/FP32/person-vehicle-bike-detection-crossroad-0078.xml engine: CPU label: to/be/set/xxx.labels - batch: 16 + batch: 1 + confidence_threshold: 0.5 enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame outputs: [ImageWindow, RosTopic, RViz] - confidence_threshold: 0.2 connects: - - left: RealSenseCamera + - left: StandardCamera right: [ObjectDetection] - left: ObjectDetection right: [ImageWindow] diff --git a/sample/param/pipeline_object_oss.yaml b/sample/param/pipeline_object_oss.yaml index 0e53cc07..1e8da274 100644 --- a/sample/param/pipeline_object_oss.yaml +++ b/sample/param/pipeline_object_oss.yaml @@ -6,10 +6,10 @@ Pipelines: model: /opt/openvino_toolkit/open_model_zoo/model_downloader/object_detection/common/ssd/300/caffe/output/ssd300.xml engine: CPU label: to/be/set/xxx.labels - batch: 16 + batch: 1 + confidence_threshold: 0.5 enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame outputs: [ImageWindow, RosTopic, RViz] - confidence_threshold: 0.2 connects: - left: RealSenseCamera right: [ObjectDetection] diff --git a/sample/param/pipeline_object_oss_topic.yaml b/sample/param/pipeline_object_oss_topic.yaml index 53d9bd9b..39b52077 100644 --- a/sample/param/pipeline_object_oss_topic.yaml +++ b/sample/param/pipeline_object_oss_topic.yaml @@ -6,10 +6,10 @@ Pipelines: model: /opt/openvino_toolkit/open_model_zoo/model_downloader/object_detection/common/ssd/300/caffe/output/ssd300.xml engine: CPU label: to/be/set/xxx.labels - batch: 16 + batch: 1 + confidence_threshold: 0.5 enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame outputs: [ImageWindow, RosTopic, RViz] - confidence_threshold: 0.2 connects: - left: RealSenseCameraTopic right: [ObjectDetection] diff --git a/sample/param/pipeline_object_topic.yaml b/sample/param/pipeline_object_topic.yaml index b844ab6d..c25d778e 100644 --- a/sample/param/pipeline_object_topic.yaml +++ b/sample/param/pipeline_object_topic.yaml @@ -6,10 +6,10 @@ Pipelines: model: /opt/intel/computer_vision_sdk/deployment_tools/intel_models/person-vehicle-bike-detection-crossroad-0078/FP32/person-vehicle-bike-detection-crossroad-0078.xml engine: CPU label: to/be/set/xxx.labels - batch: 16 + batch: 1 + confidence_threshold: 0.5 enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame outputs: [ImageWindow, RosTopic, RViz] - confidence_threshold: 0.2 connects: - left: RealSenseCameraTopic right: [ObjectDetection] diff --git a/sample/param/pipeline_people_myriad.yaml b/sample/param/pipeline_people_myriad.yaml index 13d0d541..0e2078f4 100644 --- a/sample/param/pipeline_people_myriad.yaml +++ b/sample/param/pipeline_people_myriad.yaml @@ -7,6 +7,7 @@ Pipelines: engine: MYRIAD label: /opt/intel/computer_vision_sdk/deployment_tools/intel_models/face-detection-adas-0001/FP32/face-detection-adas-0001.labels batch: 1 + confidence_threshold: 0.5 enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame - name: AgeGenderRecognition model: /opt/intel/computer_vision_sdk/deployment_tools/intel_models/age-gender-recognition-retail-0013/FP32/age-gender-recognition-retail-0013.xml @@ -24,7 +25,6 @@ Pipelines: label: to/be/set/xxx.labels batch: 16 outputs: [ImageWindow, RosTopic, RViz] - confidence_threshold: 0.2 connects: - left: StandardCamera right: [FaceDetection] diff --git a/sample/param/pipeline_people_oss.yaml b/sample/param/pipeline_people_oss.yaml index 2e0de330..33d5d889 100644 --- a/sample/param/pipeline_people_oss.yaml +++ b/sample/param/pipeline_people_oss.yaml @@ -7,6 +7,7 @@ Pipelines: engine: CPU label: to/be/set/xxx.labels batch: 1 + confidence_threshold: 0.5 enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame - name: AgeGenderRecognition model: /opt/openvino_toolkit/open_model_zoo/model_downloader/Retail/object_attributes/age_gender/dldt/age-gender-recognition-retail-0013.xml @@ -24,7 +25,6 @@ Pipelines: label: to/be/set/xxx.labels batch: 16 outputs: [ImageWindow, RosTopic, RViz] - confidence_threshold: 0.2 connects: - left: StandardCamera right: [FaceDetection] diff --git a/sample/param/pipeline_segmentation.yaml b/sample/param/pipeline_segmentation.yaml index 8ea5993a..f1177afb 100644 --- a/sample/param/pipeline_segmentation.yaml +++ b/sample/param/pipeline_segmentation.yaml @@ -7,8 +7,8 @@ Pipelines: engine: CPU label: to/be/set/xxx.labels batch: 1 + confidence_threshold: 0.5 outputs: [ImageWindow, RosTopic, RViz] - confidence_threshold: 0.2 connects: - left: RealSenseCameraTopic right: [ObjectSegmentation] diff --git a/sample/param/pipeline_video.yaml b/sample/param/pipeline_video.yaml index e15fc20a..b18de3ab 100644 --- a/sample/param/pipeline_video.yaml +++ b/sample/param/pipeline_video.yaml @@ -8,8 +8,8 @@ Pipelines: engine: CPU label: to/be/set/xxx.labels batch: 1 + confidence_threshold: 0.5 outputs: [ImageWindow, RosTopic, RViz] - confidence_threshold: 0.2 connects: - left: Video right: [ObjectSegmentation] diff --git a/vino_param_lib/include/vino_param_lib/param_manager.hpp b/vino_param_lib/include/vino_param_lib/param_manager.hpp index 7f165c7a..72a6c8d6 100644 --- a/vino_param_lib/include/vino_param_lib/param_manager.hpp +++ b/vino_param_lib/include/vino_param_lib/param_manager.hpp @@ -64,7 +64,9 @@ class ParamManager // singleton std::string engine; std::string model; std::string label; - bool enable_roi_constraint; + int batch; + float confidence_threshold = 0.5; + bool enable_roi_constraint = false; }; struct PipelineParams { diff --git a/vino_param_lib/src/param_manager.cpp b/vino_param_lib/src/param_manager.cpp index e81f1bbd..fe586544 100644 --- a/vino_param_lib/src/param_manager.cpp +++ b/vino_param_lib/src/param_manager.cpp @@ -30,6 +30,8 @@ void operator>>(const YAML::Node & node, std::vector & list); void operator>>(const YAML::Node & node, std::multimap & connect); void operator>>(const YAML::Node & node, std::string & str); void operator>>(const YAML::Node & node, bool & val); +void operator>>(const YAML::Node & node, int & val); +void operator>>(const YAML::Node & node, float & val); void operator>>(const YAML::Node & node, ParamManager::CommonParams & common); #define YAML_PARSE(node, key, val) \ @@ -91,6 +93,8 @@ void operator>>(const YAML::Node & node, ParamManager::InferenceParams & infer) YAML_PARSE(node, "model", infer.model) YAML_PARSE(node, "engine", infer.engine) YAML_PARSE(node, "label", infer.label) + YAML_PARSE(node, "batch", infer.batch) + YAML_PARSE(node, "confidence_threshold", infer.confidence_threshold) YAML_PARSE(node, "enable_roi_constraint", infer.enable_roi_constraint) slog::info << "Inference Params:name=" << infer.name << slog::endl; } @@ -127,6 +131,16 @@ void operator>>(const YAML::Node & node, bool & val) val = node.as(); } +void operator>>(const YAML::Node & node, int & val) +{ + val = node.as(); +} + +void operator>>(const YAML::Node & node, float & val) +{ + val = node.as(); +} + void ParamManager::print() const { slog::info << "--------parameters DUMP---------------------" << slog::endl; @@ -150,6 +164,8 @@ void ParamManager::print() const slog::info << "\t\tModel: " << infer.model << slog::endl; slog::info << "\t\tEngine: " << infer.engine << slog::endl; slog::info << "\t\tLabel: " << infer.label << slog::endl; + slog::info << "\t\tBatch: " << infer.batch << slog::endl; + slog::info << "\t\tConfidence_threshold: " << infer.confidence_threshold << slog::endl; slog::info << "\t\tEnable_roi_constraint: " << infer.enable_roi_constraint < Date: Mon, 25 Feb 2019 10:47:32 +0800 Subject: [PATCH 06/28] recover the yaml file --- sample/param/pipeline_object.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/sample/param/pipeline_object.yaml b/sample/param/pipeline_object.yaml index dfa7bcfa..f9fcadc0 100644 --- a/sample/param/pipeline_object.yaml +++ b/sample/param/pipeline_object.yaml @@ -1,6 +1,6 @@ Pipelines: - name: object - inputs: [StandardCamera] + inputs: [RealSenseCamera] infers: - name: ObjectDetection model: /opt/intel/computer_vision_sdk/deployment_tools/intel_models/person-vehicle-bike-detection-crossroad-0078/FP32/person-vehicle-bike-detection-crossroad-0078.xml @@ -11,7 +11,7 @@ Pipelines: enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame outputs: [ImageWindow, RosTopic, RViz] connects: - - left: StandardCamera + - left: RealSenseCamera right: [ObjectDetection] - left: ObjectDetection right: [ImageWindow] From 421a1cabe7fe8946ce7a21e173c5abd07b26d3e0 Mon Sep 17 00:00:00 2001 From: Houk Chen Date: Mon, 25 Feb 2019 16:24:43 +0800 Subject: [PATCH 07/28] person_reidentification is enabled --- dynamic_vino_lib/CMakeLists.txt | 2 + .../inferences/base_inference.hpp | 8 + .../inferences/person_reidentification.hpp | 120 +++++++++++++++ .../models/person_reidentification_model.hpp | 46 ++++++ .../dynamic_vino_lib/outputs/base_output.hpp | 15 +- .../outputs/image_window_output.hpp | 7 + .../dynamic_vino_lib/pipeline_manager.hpp | 3 +- .../dynamic_vino_lib/pipeline_params.hpp | 1 + .../inferences/person_reidentification.cpp | 144 ++++++++++++++++++ .../models/person_reidentification_model.cpp | 50 ++++++ .../src/outputs/image_window_output.cpp | 10 ++ dynamic_vino_lib/src/pipeline.cpp | 16 +- dynamic_vino_lib/src/pipeline_manager.cpp | 30 +++- sample/param/pipeline_reidentification.yaml | 27 ++++ 14 files changed, 462 insertions(+), 17 deletions(-) create mode 100644 dynamic_vino_lib/include/dynamic_vino_lib/inferences/person_reidentification.hpp create mode 100644 dynamic_vino_lib/include/dynamic_vino_lib/models/person_reidentification_model.hpp create mode 100644 dynamic_vino_lib/src/inferences/person_reidentification.cpp create mode 100644 dynamic_vino_lib/src/models/person_reidentification_model.cpp create mode 100644 sample/param/pipeline_reidentification.yaml diff --git a/dynamic_vino_lib/CMakeLists.txt b/dynamic_vino_lib/CMakeLists.txt index c26ae236..1a715677 100644 --- a/dynamic_vino_lib/CMakeLists.txt +++ b/dynamic_vino_lib/CMakeLists.txt @@ -189,6 +189,7 @@ add_library(${PROJECT_NAME} SHARED src/inferences/object_detection.cpp src/inferences/head_pose_detection.cpp src/inferences/object_segmentation.cpp + src/inferences/person_reidentification.cpp src/inputs/realsense_camera.cpp src/inputs/realsense_camera_topic.cpp src/inputs/standard_camera.cpp @@ -201,6 +202,7 @@ add_library(${PROJECT_NAME} SHARED src/models/object_detection_model.cpp src/models/head_pose_detection_model.cpp src/models/object_segmentation_model.cpp + src/models/person_reidentification_model.cpp src/outputs/image_window_output.cpp src/outputs/ros_topic_output.cpp src/outputs/rviz_output.cpp diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/inferences/base_inference.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/inferences/base_inference.hpp index 3f2a1f79..9039565a 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/inferences/base_inference.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/inferences/base_inference.hpp @@ -156,6 +156,13 @@ class BaseInference * @return The name of the Inference instance. */ virtual const std::string getName() const = 0; + /** + * @brief Get the max batch size of one inference. + */ + inline int getMaxBatchSize() + { + return max_batch_size_; + } protected: /** @@ -185,6 +192,7 @@ class BaseInference { max_batch_size_ = max_batch_size; } + std::vector results_; private: diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/inferences/person_reidentification.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/inferences/person_reidentification.hpp new file mode 100644 index 00000000..35595692 --- /dev/null +++ b/dynamic_vino_lib/include/dynamic_vino_lib/inferences/person_reidentification.hpp @@ -0,0 +1,120 @@ +/* + * Copyright (c) 2018 Intel Corporation + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +/** + * @brief A header file with declaration for PersonReidentification Class + * @file person_reidentification.hpp + */ +#ifndef DYNAMIC_VINO_LIB__INFERENCES__PERSON_REIDENTIFICATION_HPP_ +#define DYNAMIC_VINO_LIB__INFERENCES__PERSON_REIDENTIFICATION_HPP_ +#include +#include +#include +#include +#include "dynamic_vino_lib/models/person_reidentification_model.hpp" +#include "dynamic_vino_lib/engines/engine.hpp" +#include "dynamic_vino_lib/inferences/base_inference.hpp" +#include "inference_engine.hpp" +#include "opencv2/opencv.hpp" +// namespace +namespace dynamic_vino_lib { +/** + * @class PersonReidentificationResult + * @brief Class for storing and processing face detection result. + */ +class PersonReidentificationResult : public Result { + public: + friend class PersonReidentification; + explicit PersonReidentificationResult(const cv::Rect& location); + std::string getPersonID() const { return person_id_; } + private: + std::string person_id_ = "No.#"; +}; +/** + * @class PersonReidentification + * @brief Class to load face detection model and perform face detection. + */ +class PersonReidentification : public BaseInference { + public: + using Result = dynamic_vino_lib::PersonReidentificationResult; + explicit PersonReidentification(double); + ~PersonReidentification() override; + /** + * @brief Load the face detection model. + */ + void loadNetwork(std::shared_ptr); + /** + * @brief Enqueue a frame to this class. + * The frame will be buffered but not infered yet. + * @param[in] frame The frame to be enqueued. + * @param[in] input_frame_loc The location of the enqueued frame with respect + * to the frame generated by the input device. + * @return Whether this operation is successful. + */ + bool enqueue(const cv::Mat&, const cv::Rect&) override; + /** + * @brief Start inference for all buffered frames. + * @return Whether this operation is successful. + */ + bool submitRequest() override; + /** + * @brief This function will fetch the results of the previous inference and + * stores the results in a result buffer array. All buffered frames will be + * cleared. + * @return Whether the Inference object fetches a result this time + */ + bool fetchResults() override; + /** + * @brief Get the length of the buffer result array. + * @return The length of the buffer result array. + */ + const int getResultsLength() const override; + /** + * @brief Get the location of result with respect + * to the frame generated by the input device. + * @param[in] idx The index of the result. + */ + const dynamic_vino_lib::Result* getLocationResult(int idx) const override; + /** + * @brief Show the observed detection result either through image window + or ROS topic. + */ + const void observeOutput(const std::shared_ptr& output); + /** + * @brief Get the name of the Inference instance. + * @return The name of the Inference instance. + */ + const std::string getName() const override; + /** + * @brief Calculate the similarity between a new detected person with + * the already recorded persons. + * @return The similarity value. + */ + float calcSimilarity(const std::vector&, const std::vector&); + /** + * @brief Try to find the matched person from the recorded persons, if there are not, + * record it in the recorded persons. + * @return The id of the matched person (or the new person). + */ + std::string findMatchPerson(const std::vector &); + + private: + std::shared_ptr valid_model_; + std::vector results_; + std::vector> recorded_persons_; + double match_thresh_ = 0; +}; +} // namespace dynamic_vino_lib +#endif // DYNAMIC_VINO_LIB__INFERENCES__PERSON_REIDENTIFICATION_HPP_ diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/models/person_reidentification_model.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/models/person_reidentification_model.hpp new file mode 100644 index 00000000..0716d0b3 --- /dev/null +++ b/dynamic_vino_lib/include/dynamic_vino_lib/models/person_reidentification_model.hpp @@ -0,0 +1,46 @@ +/* + * Copyright (c) 2018 Intel Corporation + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +/** + * @brief A header file with declaration for PersonReidentificationModel Class + * @file face_detection_model.h + */ +#ifndef DYNAMIC_VINO_LIB__MODELS__PERSON_REIDENTIFICATION_MODEL_HPP_ +#define DYNAMIC_VINO_LIB__MODELS__PERSON_REIDENTIFICATION_MODEL_HPP_ +#include +#include "dynamic_vino_lib/models/base_model.hpp" +namespace Models { +/** + * @class PersonReidentificationModel + * @brief This class generates the person reidentification model. + */ +class PersonReidentificationModel : public BaseModel { + public: + PersonReidentificationModel(const std::string&, int, int, int); + inline const std::string getInputName() { return input_; } + inline const std::string getOutputName() { return output_; } + /** + * @brief Get the name of this detection model. + * @return Name of the model. + */ + const std::string getModelName() const override; + protected: + void checkLayerProperty(const InferenceEngine::CNNNetReader::Ptr&) override; + void setLayerProperty(InferenceEngine::CNNNetReader::Ptr) override; + std::string input_; + std::string output_; +}; +} // namespace Models +#endif // DYNAMIC_VINO_LIB__MODELS__PERSON_REIDENTIFICATION_MODEL_HPP_ \ No newline at end of file diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/outputs/base_output.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/outputs/base_output.hpp index 5a063e87..d2625777 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/outputs/base_output.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/outputs/base_output.hpp @@ -43,6 +43,7 @@ #include "dynamic_vino_lib/inferences/head_pose_detection.hpp" #include "dynamic_vino_lib/inferences/object_detection.hpp" #include "dynamic_vino_lib/inferences/object_segmentation.hpp" +#include "dynamic_vino_lib/inferences/person_reidentification.hpp" #include "opencv2/opencv.hpp" class Pipeline; @@ -59,14 +60,20 @@ class BaseOutput public: BaseOutput() = default; /** - * @brief Generate output content according to the object segmentation result. - */ + * @brief Generate output content according to the person reidentification result. + */ + virtual void accept(const std::vector &) + { + } + /** + * @brief Generate output content according to the object segmentation result. + */ virtual void accept(const std::vector &) { } /** - * @brief Generate output content according to the object detection result. - */ + * @brief Generate output content according to the object detection result. + */ virtual void accept(const std::vector &) { } diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/outputs/image_window_output.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/outputs/image_window_output.hpp index 9adf33cc..12fd5bb6 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/outputs/image_window_output.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/outputs/image_window_output.hpp @@ -49,6 +49,13 @@ class ImageWindowOutput : public BaseOutput * @brief Show the decorated frame with image window */ void handleOutput() override; + /** + * @brief Generate image window output content according to + * the object segmentation result. + * @param[in] A person reidentification result objetc. + */ + void accept( + const std::vector & ) override; /** * @brief Generate image window output content according to * the object segmentation result. diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/pipeline_manager.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/pipeline_manager.hpp index da694616..c701b37d 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/pipeline_manager.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/pipeline_manager.hpp @@ -105,7 +105,8 @@ class PipelineManager createObjectDetection(const Params::ParamManager::InferenceParams & infer); std::shared_ptr createObjectSegmentation(const Params::ParamManager::InferenceParams & infer); - + std::shared_ptr + createPersonReidentification( const Params::ParamManager::InferenceParams& infer); std::map pipelines_; std::map plugins_for_devices_; }; diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/pipeline_params.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/pipeline_params.hpp index e38383cc..80c13a95 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/pipeline_params.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/pipeline_params.hpp @@ -51,6 +51,7 @@ const char kInferTpye_EmotionRecognition[] = "EmotionRecognition"; const char kInferTpye_HeadPoseEstimation[] = "HeadPoseEstimation"; const char kInferTpye_ObjectDetection[] = "ObjectDetection"; const char kInferTpye_ObjectSegmentation[] = "ObjectSegmentation"; +const char kInferTpye_PersonReidentification[] = "PersonReidentification"; /** * @class PipelineParams diff --git a/dynamic_vino_lib/src/inferences/person_reidentification.cpp b/dynamic_vino_lib/src/inferences/person_reidentification.cpp new file mode 100644 index 00000000..8f66a60d --- /dev/null +++ b/dynamic_vino_lib/src/inferences/person_reidentification.cpp @@ -0,0 +1,144 @@ +/* + * Copyright (c) 2018 Intel Corporation + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +/** + * @brief a header file with declaration of PersonReidentification class and + * PersonReidentificationResult class + * @file person_reidentification.cpp + */ +#include +#include +#include +#include "dynamic_vino_lib/inferences/person_reidentification.hpp" +#include "dynamic_vino_lib/outputs/base_output.hpp" +#include "dynamic_vino_lib/slog.hpp" + +// PersonReidentificationResult +dynamic_vino_lib::PersonReidentificationResult::PersonReidentificationResult( + const cv::Rect& location) + : Result(location){} + +// PersonReidentification +dynamic_vino_lib::PersonReidentification::PersonReidentification(double match_thresh) + : match_thresh_(match_thresh),dynamic_vino_lib::BaseInference(){} + +dynamic_vino_lib::PersonReidentification::~PersonReidentification() = default; +void dynamic_vino_lib::PersonReidentification::loadNetwork( + const std::shared_ptr network) { + valid_model_ = network; + setMaxBatchSize(network->getMaxBatchSize()); +} + +bool dynamic_vino_lib::PersonReidentification::enqueue( + const cv::Mat& frame, const cv::Rect& input_frame_loc) { + if (getEnqueuedNum() == 0) { + results_.clear(); + } + if (!dynamic_vino_lib::BaseInference::enqueue( + frame, input_frame_loc, 1, 0, valid_model_->getInputName())) { + return false; + } + Result r(input_frame_loc); + results_.emplace_back(r); + return true; +} + +bool dynamic_vino_lib::PersonReidentification::submitRequest() { + return dynamic_vino_lib::BaseInference::submitRequest(); +} + +bool dynamic_vino_lib::PersonReidentification::fetchResults() { + bool can_fetch = dynamic_vino_lib::BaseInference::fetchResults(); + if (!can_fetch) return false; + bool found_result = false; + InferenceEngine::InferRequest::Ptr request = getEngine()->getRequest(); + std::string output = valid_model_->getOutputName(); + const float* output_values = request->GetBlob(output)->buffer().as(); + for (int i = 0; i < getResultsLength(); i++) { + std::vector new_person = std::vector( + output_values + 256 * i, output_values + 256 * i + 256); + std::string person_id = findMatchPerson(new_person); + results_[i].person_id_ = person_id; + found_result = true; + } + if (!found_result) results_.clear(); + return true; +} + +float dynamic_vino_lib::PersonReidentification::calcSimilarity( + const std::vector& person_a, const std::vector& person_b) { + if (person_a.size() != person_b.size()) { + throw std::logic_error("cosine similarity can't be called for the vectors of different lengths: " + "person_a size = " + std::to_string(person_a.size()) + + "person_b size = " + std::to_string(person_b.size())); + } + float mul_sum, denom_a, denom_b, value_a, value_b; + mul_sum = denom_a = denom_b = value_a = value_b = 0; + for (auto i = 0; i < person_a.size(); i++) { + value_a = person_a[i]; + value_b = person_b[i]; + mul_sum += value_a * value_b; + denom_a += value_a * value_a; + denom_b += value_b * value_b; + } + if (denom_a == 0 || denom_b == 0) { + throw std::logic_error("cosine similarity is not defined whenever one or both " + "input vectors are zero-vectors."); + } + return mul_sum / (sqrt(denom_a) * sqrt(denom_b)); +} + +std::string dynamic_vino_lib::PersonReidentification::findMatchPerson( + const std::vector& new_person) { + auto size = recorded_persons_.size(); + std::string id = "No."; + float best_match_sim = 0; + int best_match_ind = -1; + for (auto i = 0; i < size; ++i) { + float cos_sim = calcSimilarity(new_person, recorded_persons_[i]); + if (cos_sim > best_match_sim) { + best_match_sim = cos_sim; + best_match_ind = i; + } + } + std::cout<<"Similarity: "< match_thresh_) { + recorded_persons_[best_match_ind] = new_person; + return id + std::to_string(best_match_ind); + } else { + recorded_persons_.push_back(new_person); + return id + std::to_string(size); + } +} + +const int dynamic_vino_lib::PersonReidentification::getResultsLength() const { + return static_cast(results_.size()); +} + +const dynamic_vino_lib::Result* +dynamic_vino_lib::PersonReidentification::getLocationResult(int idx) const { + return &(results_[idx]); +} + +const std::string dynamic_vino_lib::PersonReidentification::getName() const { + return valid_model_->getModelName(); +} + +const void dynamic_vino_lib::PersonReidentification::observeOutput( + const std::shared_ptr& output) { + if (output != nullptr) { + output->accept(results_); + } +} diff --git a/dynamic_vino_lib/src/models/person_reidentification_model.cpp b/dynamic_vino_lib/src/models/person_reidentification_model.cpp new file mode 100644 index 00000000..554ff513 --- /dev/null +++ b/dynamic_vino_lib/src/models/person_reidentification_model.cpp @@ -0,0 +1,50 @@ +/* + * Copyright (c) 2018 Intel Corporation + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +/** + * @brief a header file with declaration of PersonReidentificationModel class + * @file person_reidentification_model.cpp + */ +#include +#include "dynamic_vino_lib/models/person_reidentification_model.hpp" +#include "dynamic_vino_lib/slog.hpp" +// Validated Object Detection Network +Models::PersonReidentificationModel::PersonReidentificationModel( + const std::string& model_loc, int input_num, int output_num, int max_batch_size) + : BaseModel(model_loc, input_num, output_num, max_batch_size){} + +void Models::PersonReidentificationModel::setLayerProperty( + InferenceEngine::CNNNetReader::Ptr net_reader) { + // set input property + InferenceEngine::InputsDataMap input_info_map( + net_reader->getNetwork().getInputsInfo()); + InferenceEngine::InputInfo::Ptr input_info = input_info_map.begin()->second; + input_info->setPrecision(InferenceEngine::Precision::U8); + input_info->getInputData()->setLayout(InferenceEngine::Layout::NCHW); + // set output property + InferenceEngine::OutputsDataMap output_info_map( + net_reader->getNetwork().getOutputsInfo()); + // set input and output layer name + input_ = input_info_map.begin()->first; + output_ = output_info_map.begin()->first; +} + +void Models::PersonReidentificationModel::checkLayerProperty( + const InferenceEngine::CNNNetReader::Ptr& net_reader) { + +} +const std::string Models::PersonReidentificationModel::getModelName() const { + return "Person Reidentification"; +} diff --git a/dynamic_vino_lib/src/outputs/image_window_output.cpp b/dynamic_vino_lib/src/outputs/image_window_output.cpp index af8c813b..1a3f3be9 100644 --- a/dynamic_vino_lib/src/outputs/image_window_output.cpp +++ b/dynamic_vino_lib/src/outputs/image_window_output.cpp @@ -46,6 +46,16 @@ void Outputs::ImageWindowOutput::feedFrame(const cv::Mat & frame) } } +void Outputs::ImageWindowOutput::accept( + const std::vector& results) { + for (unsigned i = 0; i < results.size(); i++) { + OutputData output; + output.rect = results[i].getLocation(); + output.desc = "[" + results[i].getPersonID() + "]"; + outputs_.push_back(output); + } +} + void Outputs::ImageWindowOutput::mergeMask( const std::vector & results) { diff --git a/dynamic_vino_lib/src/pipeline.cpp b/dynamic_vino_lib/src/pipeline.cpp index 0392cc8c..0e35e181 100644 --- a/dynamic_vino_lib/src/pipeline.cpp +++ b/dynamic_vino_lib/src/pipeline.cpp @@ -288,22 +288,24 @@ void Pipeline::callback(const std::string & detection_name) std::string next_name = pos.first->second; // if next is output, then print if (output_names_.find(next_name) != output_names_.end()) { - // name_to_output_map_[next_name]->accept(*detection_ptr->getResult()); detection_ptr->observeOutput(name_to_output_map_[next_name]); } else { - // slog::info << "Inference ... "; auto detection_ptr_iter = name_to_detection_map_.find(next_name); if (detection_ptr_iter != name_to_detection_map_.end()) { auto next_detection_ptr = detection_ptr_iter->second; - for (size_t i = 0; i < detection_ptr->getResultsLength(); ++i) { + size_t result_length = detection_ptr->getResultsLength(); + size_t batch_size = detection_ptr->getMaxBatchSize(); + for (size_t i = 0; i < result_length; ++i) { const dynamic_vino_lib::Result * prev_result = detection_ptr->getLocationResult(i); auto clippedRect = prev_result->getLocation() & cv::Rect(0, 0, width_, height_); cv::Mat next_input = frame_(clippedRect); next_detection_ptr->enqueue(next_input, prev_result->getLocation()); - } - if (detection_ptr->getResultsLength() > 0) { - increaseInferenceCounter(); - next_detection_ptr->submitRequest(); + if ((i+1)%batch_size == 0) { + increaseInferenceCounter(); + next_detection_ptr->submitRequest(); + auto request = next_detection_ptr->getEngine()->getRequest(); + request->Wait(InferenceEngine::IInferRequest::WaitMode::RESULT_READY); + } } } } diff --git a/dynamic_vino_lib/src/pipeline_manager.cpp b/dynamic_vino_lib/src/pipeline_manager.cpp index ab7d3a93..72c210ba 100644 --- a/dynamic_vino_lib/src/pipeline_manager.cpp +++ b/dynamic_vino_lib/src/pipeline_manager.cpp @@ -29,6 +29,7 @@ #include "dynamic_vino_lib/inferences/face_detection.hpp" #include "dynamic_vino_lib/inferences/head_pose_detection.hpp" #include "dynamic_vino_lib/inferences/object_segmentation.hpp" +#include "dynamic_vino_lib/inferences/person_reidentification.hpp" #include "dynamic_vino_lib/inputs/base_input.hpp" #include "dynamic_vino_lib/inputs/image_input.hpp" #include "dynamic_vino_lib/inputs/realsense_camera.hpp" @@ -40,6 +41,7 @@ #include "dynamic_vino_lib/models/face_detection_model.hpp" #include "dynamic_vino_lib/models/head_pose_detection_model.hpp" #include "dynamic_vino_lib/models/object_segmentation_model.hpp" +#include "dynamic_vino_lib/models/person_reidentification_model.hpp" #include "dynamic_vino_lib/outputs/image_window_output.hpp" #include "dynamic_vino_lib/outputs/ros_topic_output.hpp" #include "dynamic_vino_lib/outputs/rviz_output.hpp" @@ -193,6 +195,8 @@ PipelineManager::parseInference(const Params::ParamManager::PipelineParams & par object = createObjectDetection(infer); } else if (infer.name == kInferTpye_ObjectSegmentation) { object = createObjectSegmentation(infer); + } else if (infer.name == kInferTpye_PersonReidentification) { + object = createPersonReidentification(infer); } else { slog::err << "Invalid inference name: " << infer.name << slog::endl; } @@ -216,7 +220,7 @@ PipelineManager::createFaceDetection( std::shared_ptr PipelineManager::createAgeGenderRecognition(const Params::ParamManager::InferenceParams & param) { - auto model = std::make_shared(param.model, 1, 2, 16); + auto model = std::make_shared(param.model, 1, 2, param.batch); model->modelInit(); auto engine = std::make_shared(plugins_for_devices_[param.engine], model); auto infer = std::make_shared(); @@ -229,7 +233,7 @@ PipelineManager::createAgeGenderRecognition(const Params::ParamManager::Inferenc std::shared_ptr PipelineManager::createEmotionRecognition(const Params::ParamManager::InferenceParams & param) { - auto model = std::make_shared(param.model, 1, 1, 16); + auto model = std::make_shared(param.model, 1, 1, param.batch); model->modelInit(); auto engine = std::make_shared(plugins_for_devices_[param.engine], model); auto infer = std::make_shared(); @@ -242,7 +246,7 @@ PipelineManager::createEmotionRecognition(const Params::ParamManager::InferenceP std::shared_ptr PipelineManager::createHeadPoseEstimation(const Params::ParamManager::InferenceParams & param) { - auto model = std::make_shared(param.model, 1, 3, 16); + auto model = std::make_shared(param.model, 1, 3, param.batch); model->modelInit(); auto engine = std::make_shared(plugins_for_devices_[param.engine], model); auto infer = std::make_shared(); @@ -257,7 +261,7 @@ PipelineManager::createObjectDetection( const Params::ParamManager::InferenceParams & infer) { auto object_detection_model = - std::make_shared(infer.model, 1, 1, 1); + std::make_shared(infer.model, 1, 1, infer.batch); object_detection_model->modelInit(); auto object_detection_engine = std::make_shared( plugins_for_devices_[infer.engine], object_detection_model); @@ -273,7 +277,7 @@ std::shared_ptr PipelineManager::createObjectSegmentation(const Params::ParamManager::InferenceParams & infer) { auto obejct_segmentation_model = - std::make_shared(infer.model, 1, 2, 1); + std::make_shared(infer.model, 1, 2, infer.batch); obejct_segmentation_model->modelInit(); auto obejct_segmentation_engine = std::make_shared( plugins_for_devices_[infer.engine], obejct_segmentation_model); @@ -285,6 +289,22 @@ PipelineManager::createObjectSegmentation(const Params::ParamManager::InferenceP return segmentation_inference_ptr; } +std::shared_ptr +PipelineManager::createPersonReidentification( + const Params::ParamManager::InferenceParams& infer) { + auto person_reidentification_model = + std::make_shared(infer.model, 1, 1, infer.batch); + person_reidentification_model->modelInit(); + auto person_reidentification_engine = std::make_shared( + plugins_for_devices_[infer.engine], person_reidentification_model); + auto reidentification_inference_ptr = + std::make_shared(0.7); + reidentification_inference_ptr->loadNetwork(person_reidentification_model); + reidentification_inference_ptr->loadEngine(person_reidentification_engine); + + return reidentification_inference_ptr; +} + void PipelineManager::threadPipeline(const char * name) { PipelineData & p = pipelines_[name]; diff --git a/sample/param/pipeline_reidentification.yaml b/sample/param/pipeline_reidentification.yaml new file mode 100644 index 00000000..b50f77df --- /dev/null +++ b/sample/param/pipeline_reidentification.yaml @@ -0,0 +1,27 @@ +Pipelines: +- name: object + inputs: [StandardCamera] + infers: + - name: ObjectDetection + model: /opt/intel/computer_vision_sdk/deployment_tools/intel_models/person-detection-retail-0013/FP32/person-detection-retail-0013.xml + engine: CPU + label: to/be/set/xxx.labels + batch: 1 + confidence_threshold: 0.5 + enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame + - name: PersonReidentification + model: /opt/intel/computer_vision_sdk/deployment_tools/intel_models/person-reidentification-retail-0076/FP32/person-reidentification-retail-0076.xml + engine: CPU + label: to/be/set/xxx.labels + batch: 1 + confidence_threshold: 0.7 + outputs: [ImageWindow, RViz] + connects: + - left: StandardCamera + right: [ObjectDetection] + - left: ObjectDetection + right: [PersonReidentification] + - left: PersonReidentification + right: [ImageWindow] + +OpenvinoCommon: \ No newline at end of file From dc739a1f223b1a90145fb82deb6017dae38a7067 Mon Sep 17 00:00:00 2001 From: Houk Chen Date: Tue, 26 Feb 2019 14:17:55 +0800 Subject: [PATCH 08/28] enable batchsize for inference submission --- .../outputs/image_window_output.hpp | 2 +- .../inferences/person_reidentification.cpp | 1 - .../src/outputs/image_window_output.cpp | 130 +++++++----------- 3 files changed, 50 insertions(+), 83 deletions(-) diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/outputs/image_window_output.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/outputs/image_window_output.hpp index 12fd5bb6..1c2bb6b4 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/outputs/image_window_output.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/outputs/image_window_output.hpp @@ -94,7 +94,7 @@ class ImageWindowOutput : public BaseOutput void accept(const std::vector &) override; private: - void initOutputs(unsigned size); + unsigned findOutput(const cv::Rect &); /** * @brief Calculate the axises of the coordinates for showing * the image window. diff --git a/dynamic_vino_lib/src/inferences/person_reidentification.cpp b/dynamic_vino_lib/src/inferences/person_reidentification.cpp index 8f66a60d..6616eead 100644 --- a/dynamic_vino_lib/src/inferences/person_reidentification.cpp +++ b/dynamic_vino_lib/src/inferences/person_reidentification.cpp @@ -113,7 +113,6 @@ std::string dynamic_vino_lib::PersonReidentification::findMatchPerson( best_match_ind = i; } } - std::cout<<"Similarity: "< match_thresh_) { recorded_persons_[best_match_ind] = new_person; return id + std::to_string(best_match_ind); diff --git a/dynamic_vino_lib/src/outputs/image_window_output.cpp b/dynamic_vino_lib/src/outputs/image_window_output.cpp index 1a3f3be9..774d3140 100644 --- a/dynamic_vino_lib/src/outputs/image_window_output.cpp +++ b/dynamic_vino_lib/src/outputs/image_window_output.cpp @@ -46,13 +46,26 @@ void Outputs::ImageWindowOutput::feedFrame(const cv::Mat & frame) } } +unsigned Outputs::ImageWindowOutput::findOutput( + const cv::Rect& result_rect) { + for (unsigned i = 0; i < outputs_.size(); i++) { + if (outputs_[i].rect == result_rect) + return i; + } + OutputData output; + output.desc = ""; + output.scalar = cv::Scalar(255, 0, 0); + outputs_.push_back(output); + return outputs_.size()-1; +} + void Outputs::ImageWindowOutput::accept( const std::vector& results) { for (unsigned i = 0; i < results.size(); i++) { - OutputData output; - output.rect = results[i].getLocation(); - output.desc = "[" + results[i].getPersonID() + "]"; - outputs_.push_back(output); + cv::Rect result_rect = results[i].getLocation(); + unsigned target_index = findOutput(result_rect); + outputs_[target_index].rect = result_rect; + outputs_[target_index].desc += "[" + results[i].getPersonID() + "]"; } } @@ -90,23 +103,18 @@ void Outputs::ImageWindowOutput::mergeMask( void Outputs::ImageWindowOutput::accept( const std::vector & results) { - if (outputs_.size() == 0) { - initOutputs(results.size()); - } - if (outputs_.size() != results.size()) { - slog::err << "the size of Object Segmentation and Output Vector is not equal!" << slog::endl; - return; - } for (unsigned i = 0; i < results.size(); i++) { - outputs_[i].rect = results[i].getLocation(); + cv:: Rect result_rect = results[i].getLocation(); + unsigned target_index = findOutput(result_rect); + outputs_[target_index].rect = result_rect; auto fd_conf = results[i].getConfidence(); if (fd_conf >= 0) { std::ostringstream ostream; ostream << "[" << std::fixed << std::setprecision(3) << fd_conf << "]"; - outputs_[i].desc += ostream.str(); + outputs_[target_index].desc += ostream.str(); } auto label = results[i].getLabel(); - outputs_[i].desc += "[" + label + "]"; + outputs_[target_index].desc += "[" + label + "]"; } mergeMask(results); } @@ -114,23 +122,16 @@ void Outputs::ImageWindowOutput::accept( void Outputs::ImageWindowOutput::accept( const std::vector & results) { - if (outputs_.size() == 0) { - initOutputs(results.size()); - } - if (outputs_.size() != results.size()) { - // throw std::logic_error("size is not equal!"); - slog::err << "the size of Face Detection and Output Vector is not equal!" << slog::endl; - return; - } - for (unsigned i = 0; i < results.size(); i++) { - // outputs_[i].desc.str(""); - outputs_[i].rect = results[i].getLocation(); + for (unsigned i = 0; i < results.size(); i++) { + cv:: Rect result_rect = results[i].getLocation(); + unsigned target_index = findOutput(result_rect); + outputs_[target_index].rect = result_rect; auto fd_conf = results[i].getConfidence(); if (fd_conf >= 0) { std::ostringstream ostream; ostream << "[" << std::fixed << std::setprecision(3) << fd_conf << "]"; - outputs_[i].desc += ostream.str(); + outputs_[target_index].desc += ostream.str(); } } } @@ -138,67 +139,48 @@ void Outputs::ImageWindowOutput::accept( void Outputs::ImageWindowOutput::accept( const std::vector & results) { - if (outputs_.size() == 0) { - initOutputs(results.size()); - } - if (outputs_.size() != results.size()) { - // throw std::logic_error("size is not equal!"); - slog::err << "the size of Face Detection and Output Vector is not equal!" << slog::endl; - return; - } for (unsigned i = 0; i < results.size(); i++) { - // outputs_[i].desc.str(""); - outputs_[i].rect = results[i].getLocation(); - + cv::Rect result_rect = results[i].getLocation(); + unsigned target_index = findOutput(result_rect); + outputs_[target_index].rect = result_rect; auto fd_conf = results[i].getConfidence(); if (fd_conf >= 0) { std::ostringstream ostream; ostream << "[" << std::fixed << std::setprecision(3) << fd_conf << "]"; - outputs_[i].desc += ostream.str(); + outputs_[target_index].desc += ostream.str(); } auto label = results[i].getLabel(); - outputs_[i].desc += "[" + label + "]"; + outputs_[target_index].desc += "[" + label + "]"; } } void Outputs::ImageWindowOutput::accept( const std::vector & results) { - if (outputs_.size() == 0) { - initOutputs(results.size()); - } - if (outputs_.size() != results.size()) { - // throw std::logic_error("size is not equal!"); - slog::err << "the size of Emotion Detection and Output Vector is not equal!" << slog::endl; - return; - } for (unsigned i = 0; i < results.size(); i++) { + cv::Rect result_rect = results[i].getLocation(); + unsigned target_index = findOutput(result_rect); + outputs_[target_index].rect = result_rect; std::ostringstream ostream; ostream << "[" << results[i].getLabel() << "]"; - outputs_[i].desc += ostream.str(); + outputs_[target_index].desc += ostream.str(); } } void Outputs::ImageWindowOutput::accept( const std::vector & results) { - if (outputs_.size() == 0) { - initOutputs(results.size()); - } - if (outputs_.size() != results.size()) { - // throw std::logic_error("size is not equal!"); - slog::err << "the size of AgeGender Detection and Output Vector is not equal!" << slog::endl; - return; - } for (unsigned i = 0; i < results.size(); i++) { + cv::Rect result_rect = results[i].getLocation(); + unsigned target_index = findOutput(result_rect); + outputs_[target_index].rect = result_rect; std::ostringstream ostream; - // auto age = results[i].getAge(); ostream << "[Y" << std::fixed << std::setprecision(0) << results[i].getAge() << "]"; - outputs_[i].desc += ostream.str(); + outputs_[target_index].desc += ostream.str(); auto male_prob = results[i].getMaleProbability(); if (male_prob < 0.5) { - outputs_[i].scalar = cv::Scalar(0, 0, 255); + outputs_[target_index].scalar = cv::Scalar(0, 0, 255); } } } @@ -237,16 +219,11 @@ cv::Mat Outputs::ImageWindowOutput::getRotationTransform(double yaw, double pitc void Outputs::ImageWindowOutput::accept( const std::vector & results) { - if (outputs_.size() == 0) { - initOutputs(results.size()); - } - if (outputs_.size() != results.size()) { - // throw std::logic_error("size is not equal!"); - slog::err << "the size of HeadPose Detection and Output Vector is not equal!" << slog::endl; - return; - } for (unsigned i = 0; i < results.size(); i++) { auto result = results[i]; + cv::Rect result_rect = result.getLocation(); + unsigned target_index = findOutput(result_rect); + outputs_[target_index].rect = result_rect; double yaw = result.getAngleY(); double pitch = result.getAngleP(); double roll = result.getAngleR(); @@ -255,11 +232,11 @@ void Outputs::ImageWindowOutput::accept( cv::Mat r = getRotationTransform(yaw, pitch, roll); cv::Rect location = result.getLocation(); auto cp = cv::Point(location.x + location.width / 2, location.y + location.height / 2); - outputs_[i].hp_cp = cp; - outputs_[i].hp_x = calcAxis(r, scale, 0, 0, cp); - outputs_[i].hp_y = calcAxis(r, 0, -scale, 0, cp); - outputs_[i].hp_ze = calcAxis(r, 0, 0, -scale, cp); - outputs_[i].hp_zs = calcAxis(r, 0, 0, scale, cp); + outputs_[target_index].hp_cp = cp; + outputs_[target_index].hp_x = calcAxis(r, scale, 0, 0, cp); + outputs_[target_index].hp_y = calcAxis(r, 0, -scale, 0, cp); + outputs_[target_index].hp_ze = calcAxis(r, 0, 0, -scale, cp); + outputs_[target_index].hp_zs = calcAxis(r, 0, 0, scale, cp); } } @@ -298,12 +275,3 @@ void Outputs::ImageWindowOutput::handleOutput() cv::imshow(window_name_, frame_); cv::waitKey(1); } - -void Outputs::ImageWindowOutput::initOutputs(unsigned size) -{ - outputs_.resize(size); - for (unsigned i = 0; i < size; i++) { - outputs_[i].desc = ""; - outputs_[i].scalar = cv::Scalar(255, 0, 0); - } -} From 48d87eb900fc92cdb244d9a21eb4cf57beb024b6 Mon Sep 17 00:00:00 2001 From: Houk Chen Date: Tue, 26 Feb 2019 15:08:03 +0800 Subject: [PATCH 09/28] Rviz for person reidentification is enabled. --- .../include/dynamic_vino_lib/outputs/rviz_output.hpp | 6 ++++++ dynamic_vino_lib/src/outputs/rviz_output.cpp | 5 +++++ 2 files changed, 11 insertions(+) diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/outputs/rviz_output.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/outputs/rviz_output.hpp index 515e1da0..905033c2 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/outputs/rviz_output.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/outputs/rviz_output.hpp @@ -49,6 +49,12 @@ class RvizOutput : public BaseOutput * functions with rviz. */ void handleOutput() override; + /** + * @brief Generate rviz output content according to + * the person reidentification result. + * @param[in] A person reidentification result objetc. + */ + void accept(const std::vector &) override; /** * @brief Generate rviz output content according to * the face detection result. diff --git a/dynamic_vino_lib/src/outputs/rviz_output.cpp b/dynamic_vino_lib/src/outputs/rviz_output.cpp index 6ee1a51f..160a6f9e 100644 --- a/dynamic_vino_lib/src/outputs/rviz_output.cpp +++ b/dynamic_vino_lib/src/outputs/rviz_output.cpp @@ -38,6 +38,11 @@ void Outputs::RvizOutput::feedFrame(const cv::Mat & frame) image_window_output_->feedFrame(frame); } +void Outputs::RvizOutput::accept(const std::vector & results) +{ + image_window_output_->accept(results); +} + void Outputs::RvizOutput::accept(const std::vector & results) { image_window_output_->accept(results); From baca03baba6c0d08d89ff406e9ff22c093af5af4 Mon Sep 17 00:00:00 2001 From: Houk Chen Date: Wed, 27 Feb 2019 14:01:13 +0800 Subject: [PATCH 10/28] add RosTopic and Rviz for person reidentification --- .../inferences/person_reidentification.hpp | 65 ++++++----- .../models/person_reidentification_model.hpp | 50 +++++---- .../outputs/image_window_output.hpp | 2 +- .../outputs/ros_topic_output.hpp | 10 ++ .../dynamic_vino_lib/pipeline_manager.hpp | 2 +- .../inferences/person_reidentification.cpp | 106 ++++++++++-------- .../models/person_reidentification_model.cpp | 48 ++++---- .../src/outputs/image_window_output.cpp | 18 +-- .../src/outputs/ros_topic_output.cpp | 26 +++++ dynamic_vino_lib/src/outputs/rviz_output.cpp | 3 +- dynamic_vino_lib/src/pipeline.cpp | 4 +- dynamic_vino_lib/src/pipeline_manager.cpp | 9 +- people_msgs/CMakeLists.txt | 2 + people_msgs/msg/Reidentification.msg | 17 +++ people_msgs/msg/ReidentificationStamped.msg | 17 +++ sample/param/pipeline_reidentification.yaml | 4 +- 16 files changed, 237 insertions(+), 146 deletions(-) create mode 100644 people_msgs/msg/Reidentification.msg create mode 100644 people_msgs/msg/ReidentificationStamped.msg diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/inferences/person_reidentification.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/inferences/person_reidentification.hpp index 35595692..78c0f45f 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/inferences/person_reidentification.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/inferences/person_reidentification.hpp @@ -1,18 +1,17 @@ -/* - * Copyright (c) 2018 Intel Corporation - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ +// Copyright (c) 2018 Intel Corporation +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + /** * @brief A header file with declaration for PersonReidentification Class * @file person_reidentification.hpp @@ -29,25 +28,29 @@ #include "inference_engine.hpp" #include "opencv2/opencv.hpp" // namespace -namespace dynamic_vino_lib { +namespace dynamic_vino_lib +{ /** * @class PersonReidentificationResult * @brief Class for storing and processing face detection result. */ -class PersonReidentificationResult : public Result { - public: +class PersonReidentificationResult : public Result +{ +public: friend class PersonReidentification; - explicit PersonReidentificationResult(const cv::Rect& location); - std::string getPersonID() const { return person_id_; } - private: + explicit PersonReidentificationResult(const cv::Rect & location); + std::string getPersonID() const {return person_id_;} + +private: std::string person_id_ = "No.#"; }; /** * @class PersonReidentification * @brief Class to load face detection model and perform face detection. */ -class PersonReidentification : public BaseInference { - public: +class PersonReidentification : public BaseInference +{ +public: using Result = dynamic_vino_lib::PersonReidentificationResult; explicit PersonReidentification(double); ~PersonReidentification() override; @@ -63,7 +66,7 @@ class PersonReidentification : public BaseInference { * to the frame generated by the input device. * @return Whether this operation is successful. */ - bool enqueue(const cv::Mat&, const cv::Rect&) override; + bool enqueue(const cv::Mat &, const cv::Rect &) override; /** * @brief Start inference for all buffered frames. * @return Whether this operation is successful. @@ -86,31 +89,31 @@ class PersonReidentification : public BaseInference { * to the frame generated by the input device. * @param[in] idx The index of the result. */ - const dynamic_vino_lib::Result* getLocationResult(int idx) const override; + const dynamic_vino_lib::Result * getLocationResult(int idx) const override; /** * @brief Show the observed detection result either through image window or ROS topic. */ - const void observeOutput(const std::shared_ptr& output); + const void observeOutput(const std::shared_ptr & output); /** * @brief Get the name of the Inference instance. * @return The name of the Inference instance. */ const std::string getName() const override; /** - * @brief Calculate the similarity between a new detected person with - * the already recorded persons. + * @brief Calculate the similarity between a new detected person with + * the already recorded persons. * @return The similarity value. */ - float calcSimilarity(const std::vector&, const std::vector&); + float calcSimilarity(const std::vector &, const std::vector &); /** * @brief Try to find the matched person from the recorded persons, if there are not, - * record it in the recorded persons. + * record it in the recorded persons. * @return The id of the matched person (or the new person). */ std::string findMatchPerson(const std::vector &); - private: +private: std::shared_ptr valid_model_; std::vector results_; std::vector> recorded_persons_; diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/models/person_reidentification_model.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/models/person_reidentification_model.hpp index 0716d0b3..09c1bed7 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/models/person_reidentification_model.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/models/person_reidentification_model.hpp @@ -1,18 +1,17 @@ -/* - * Copyright (c) 2018 Intel Corporation - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ +// Copyright (c) 2018 Intel Corporation +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + /** * @brief A header file with declaration for PersonReidentificationModel Class * @file face_detection_model.h @@ -21,26 +20,29 @@ #define DYNAMIC_VINO_LIB__MODELS__PERSON_REIDENTIFICATION_MODEL_HPP_ #include #include "dynamic_vino_lib/models/base_model.hpp" -namespace Models { +namespace Models +{ /** * @class PersonReidentificationModel * @brief This class generates the person reidentification model. */ -class PersonReidentificationModel : public BaseModel { - public: - PersonReidentificationModel(const std::string&, int, int, int); - inline const std::string getInputName() { return input_; } - inline const std::string getOutputName() { return output_; } +class PersonReidentificationModel : public BaseModel +{ +public: + PersonReidentificationModel(const std::string &, int, int, int); + inline const std::string getInputName() {return input_;} + inline const std::string getOutputName() {return output_;} /** * @brief Get the name of this detection model. * @return Name of the model. */ const std::string getModelName() const override; - protected: - void checkLayerProperty(const InferenceEngine::CNNNetReader::Ptr&) override; + +protected: + void checkLayerProperty(const InferenceEngine::CNNNetReader::Ptr &) override; void setLayerProperty(InferenceEngine::CNNNetReader::Ptr) override; std::string input_; std::string output_; }; } // namespace Models -#endif // DYNAMIC_VINO_LIB__MODELS__PERSON_REIDENTIFICATION_MODEL_HPP_ \ No newline at end of file +#endif // DYNAMIC_VINO_LIB__MODELS__PERSON_REIDENTIFICATION_MODEL_HPP_ diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/outputs/image_window_output.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/outputs/image_window_output.hpp index 1c2bb6b4..fd638619 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/outputs/image_window_output.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/outputs/image_window_output.hpp @@ -55,7 +55,7 @@ class ImageWindowOutput : public BaseOutput * @param[in] A person reidentification result objetc. */ void accept( - const std::vector & ) override; + const std::vector &) override; /** * @brief Generate image window output content according to * the object segmentation result. diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/outputs/ros_topic_output.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/outputs/ros_topic_output.hpp index 8778208c..ecc6d454 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/outputs/ros_topic_output.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/outputs/ros_topic_output.hpp @@ -31,6 +31,8 @@ #include #include #include +#include +#include #include #include @@ -61,6 +63,12 @@ class RosTopicOutput : public BaseOutput * functions with ros topic. */ void handleOutput() override; + /** + * @brief Generate ros topic infomation according to + * the person reidentification result. + * @param[in] results a bundle of person reidentification results. + */ + void accept(const std::vector &) override; /** * @brief Generate ros topic infomation according to * the object segmentation result. @@ -102,6 +110,8 @@ class RosTopicOutput : public BaseOutput std_msgs::msg::Header getHeader(); const std::string topic_name_; std::shared_ptr node_; + rclcpp::Publisher::SharedPtr pub_person_reid_; + std::shared_ptr person_reid_topic_; rclcpp::Publisher::SharedPtr pub_segmented_object_; std::shared_ptr segmented_objects_topic_; rclcpp::Publisher::SharedPtr pub_detected_object_; diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/pipeline_manager.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/pipeline_manager.hpp index c701b37d..f8d19dbb 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/pipeline_manager.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/pipeline_manager.hpp @@ -106,7 +106,7 @@ class PipelineManager std::shared_ptr createObjectSegmentation(const Params::ParamManager::InferenceParams & infer); std::shared_ptr - createPersonReidentification( const Params::ParamManager::InferenceParams& infer); + createPersonReidentification(const Params::ParamManager::InferenceParams & infer); std::map pipelines_; std::map plugins_for_devices_; }; diff --git a/dynamic_vino_lib/src/inferences/person_reidentification.cpp b/dynamic_vino_lib/src/inferences/person_reidentification.cpp index 6616eead..8dc47869 100644 --- a/dynamic_vino_lib/src/inferences/person_reidentification.cpp +++ b/dynamic_vino_lib/src/inferences/person_reidentification.cpp @@ -1,18 +1,17 @@ -/* - * Copyright (c) 2018 Intel Corporation - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ +// Copyright (c) 2018 Intel Corporation +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + /** * @brief a header file with declaration of PersonReidentification class and * PersonReidentificationResult class @@ -27,27 +26,30 @@ // PersonReidentificationResult dynamic_vino_lib::PersonReidentificationResult::PersonReidentificationResult( - const cv::Rect& location) - : Result(location){} + const cv::Rect & location) +: Result(location) {} // PersonReidentification dynamic_vino_lib::PersonReidentification::PersonReidentification(double match_thresh) - : match_thresh_(match_thresh),dynamic_vino_lib::BaseInference(){} +: match_thresh_(match_thresh), dynamic_vino_lib::BaseInference() {} dynamic_vino_lib::PersonReidentification::~PersonReidentification() = default; void dynamic_vino_lib::PersonReidentification::loadNetwork( - const std::shared_ptr network) { + const std::shared_ptr network) +{ valid_model_ = network; setMaxBatchSize(network->getMaxBatchSize()); } bool dynamic_vino_lib::PersonReidentification::enqueue( - const cv::Mat& frame, const cv::Rect& input_frame_loc) { + const cv::Mat & frame, const cv::Rect & input_frame_loc) +{ if (getEnqueuedNum() == 0) { results_.clear(); } if (!dynamic_vino_lib::BaseInference::enqueue( - frame, input_frame_loc, 1, 0, valid_model_->getInputName())) { + frame, input_frame_loc, 1, 0, valid_model_->getInputName())) + { return false; } Result r(input_frame_loc); @@ -55,17 +57,19 @@ bool dynamic_vino_lib::PersonReidentification::enqueue( return true; } -bool dynamic_vino_lib::PersonReidentification::submitRequest() { +bool dynamic_vino_lib::PersonReidentification::submitRequest() +{ return dynamic_vino_lib::BaseInference::submitRequest(); } -bool dynamic_vino_lib::PersonReidentification::fetchResults() { +bool dynamic_vino_lib::PersonReidentification::fetchResults() +{ bool can_fetch = dynamic_vino_lib::BaseInference::fetchResults(); - if (!can_fetch) return false; + if (!can_fetch) {return false;} bool found_result = false; InferenceEngine::InferRequest::Ptr request = getEngine()->getRequest(); std::string output = valid_model_->getOutputName(); - const float* output_values = request->GetBlob(output)->buffer().as(); + const float * output_values = request->GetBlob(output)->buffer().as(); for (int i = 0; i < getResultsLength(); i++) { std::vector new_person = std::vector( output_values + 256 * i, output_values + 256 * i + 256); @@ -73,45 +77,47 @@ bool dynamic_vino_lib::PersonReidentification::fetchResults() { results_[i].person_id_ = person_id; found_result = true; } - if (!found_result) results_.clear(); + if (!found_result) {results_.clear();} return true; } float dynamic_vino_lib::PersonReidentification::calcSimilarity( - const std::vector& person_a, const std::vector& person_b) { + const std::vector & person_a, const std::vector & person_b) +{ if (person_a.size() != person_b.size()) { - throw std::logic_error("cosine similarity can't be called for the vectors of different lengths: " - "person_a size = " + std::to_string(person_a.size()) + - "person_b size = " + std::to_string(person_b.size())); + throw std::logic_error("cosine similarity can't be called for vectors of different lengths: " + "person_a size = " + std::to_string(person_a.size()) + + "person_b size = " + std::to_string(person_b.size())); } float mul_sum, denom_a, denom_b, value_a, value_b; mul_sum = denom_a = denom_b = value_a = value_b = 0; for (auto i = 0; i < person_a.size(); i++) { - value_a = person_a[i]; - value_b = person_b[i]; - mul_sum += value_a * value_b; - denom_a += value_a * value_a; - denom_b += value_b * value_b; + value_a = person_a[i]; + value_b = person_b[i]; + mul_sum += value_a * value_b; + denom_a += value_a * value_a; + denom_b += value_b * value_b; } if (denom_a == 0 || denom_b == 0) { - throw std::logic_error("cosine similarity is not defined whenever one or both " - "input vectors are zero-vectors."); + throw std::logic_error("cosine similarity is not defined whenever one or both " + "input vectors are zero-vectors."); } return mul_sum / (sqrt(denom_a) * sqrt(denom_b)); } std::string dynamic_vino_lib::PersonReidentification::findMatchPerson( - const std::vector& new_person) { + const std::vector & new_person) +{ auto size = recorded_persons_.size(); std::string id = "No."; float best_match_sim = 0; int best_match_ind = -1; for (auto i = 0; i < size; ++i) { - float cos_sim = calcSimilarity(new_person, recorded_persons_[i]); - if (cos_sim > best_match_sim) { - best_match_sim = cos_sim; - best_match_ind = i; - } + float cos_sim = calcSimilarity(new_person, recorded_persons_[i]); + if (cos_sim > best_match_sim) { + best_match_sim = cos_sim; + best_match_ind = i; + } } if (best_match_sim > match_thresh_) { recorded_persons_[best_match_ind] = new_person; @@ -122,21 +128,25 @@ std::string dynamic_vino_lib::PersonReidentification::findMatchPerson( } } -const int dynamic_vino_lib::PersonReidentification::getResultsLength() const { +const int dynamic_vino_lib::PersonReidentification::getResultsLength() const +{ return static_cast(results_.size()); } -const dynamic_vino_lib::Result* -dynamic_vino_lib::PersonReidentification::getLocationResult(int idx) const { +const dynamic_vino_lib::Result * +dynamic_vino_lib::PersonReidentification::getLocationResult(int idx) const +{ return &(results_[idx]); } -const std::string dynamic_vino_lib::PersonReidentification::getName() const { +const std::string dynamic_vino_lib::PersonReidentification::getName() const +{ return valid_model_->getModelName(); } const void dynamic_vino_lib::PersonReidentification::observeOutput( - const std::shared_ptr& output) { + const std::shared_ptr & output) +{ if (output != nullptr) { output->accept(results_); } diff --git a/dynamic_vino_lib/src/models/person_reidentification_model.cpp b/dynamic_vino_lib/src/models/person_reidentification_model.cpp index 554ff513..f3e5b132 100644 --- a/dynamic_vino_lib/src/models/person_reidentification_model.cpp +++ b/dynamic_vino_lib/src/models/person_reidentification_model.cpp @@ -1,18 +1,17 @@ -/* - * Copyright (c) 2018 Intel Corporation - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ +// Copyright (c) 2018 Intel Corporation +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + /** * @brief a header file with declaration of PersonReidentificationModel class * @file person_reidentification_model.cpp @@ -22,29 +21,30 @@ #include "dynamic_vino_lib/slog.hpp" // Validated Object Detection Network Models::PersonReidentificationModel::PersonReidentificationModel( - const std::string& model_loc, int input_num, int output_num, int max_batch_size) - : BaseModel(model_loc, input_num, output_num, max_batch_size){} + const std::string & model_loc, int input_num, int output_num, int max_batch_size) +: BaseModel(model_loc, input_num, output_num, max_batch_size) {} void Models::PersonReidentificationModel::setLayerProperty( - InferenceEngine::CNNNetReader::Ptr net_reader) { + InferenceEngine::CNNNetReader::Ptr net_reader) +{ // set input property InferenceEngine::InputsDataMap input_info_map( - net_reader->getNetwork().getInputsInfo()); + net_reader->getNetwork().getInputsInfo()); InferenceEngine::InputInfo::Ptr input_info = input_info_map.begin()->second; input_info->setPrecision(InferenceEngine::Precision::U8); input_info->getInputData()->setLayout(InferenceEngine::Layout::NCHW); // set output property InferenceEngine::OutputsDataMap output_info_map( - net_reader->getNetwork().getOutputsInfo()); + net_reader->getNetwork().getOutputsInfo()); // set input and output layer name input_ = input_info_map.begin()->first; output_ = output_info_map.begin()->first; } void Models::PersonReidentificationModel::checkLayerProperty( - const InferenceEngine::CNNNetReader::Ptr& net_reader) { - -} -const std::string Models::PersonReidentificationModel::getModelName() const { + const InferenceEngine::CNNNetReader::Ptr & net_reader) {} + +const std::string Models::PersonReidentificationModel::getModelName() const +{ return "Person Reidentification"; } diff --git a/dynamic_vino_lib/src/outputs/image_window_output.cpp b/dynamic_vino_lib/src/outputs/image_window_output.cpp index 774d3140..51cbb8f5 100644 --- a/dynamic_vino_lib/src/outputs/image_window_output.cpp +++ b/dynamic_vino_lib/src/outputs/image_window_output.cpp @@ -47,27 +47,30 @@ void Outputs::ImageWindowOutput::feedFrame(const cv::Mat & frame) } unsigned Outputs::ImageWindowOutput::findOutput( - const cv::Rect& result_rect) { + const cv::Rect & result_rect) +{ for (unsigned i = 0; i < outputs_.size(); i++) { - if (outputs_[i].rect == result_rect) + if (outputs_[i].rect == result_rect) { return i; + } } OutputData output; output.desc = ""; output.scalar = cv::Scalar(255, 0, 0); outputs_.push_back(output); - return outputs_.size()-1; + return outputs_.size() - 1; } void Outputs::ImageWindowOutput::accept( - const std::vector& results) { + const std::vector & results) +{ for (unsigned i = 0; i < results.size(); i++) { cv::Rect result_rect = results[i].getLocation(); unsigned target_index = findOutput(result_rect); outputs_[target_index].rect = result_rect; outputs_[target_index].desc += "[" + results[i].getPersonID() + "]"; } -} +} void Outputs::ImageWindowOutput::mergeMask( const std::vector & results) @@ -104,7 +107,7 @@ void Outputs::ImageWindowOutput::accept( const std::vector & results) { for (unsigned i = 0; i < results.size(); i++) { - cv:: Rect result_rect = results[i].getLocation(); + cv::Rect result_rect = results[i].getLocation(); unsigned target_index = findOutput(result_rect); outputs_[target_index].rect = result_rect; auto fd_conf = results[i].getConfidence(); @@ -122,9 +125,8 @@ void Outputs::ImageWindowOutput::accept( void Outputs::ImageWindowOutput::accept( const std::vector & results) { - for (unsigned i = 0; i < results.size(); i++) { - cv:: Rect result_rect = results[i].getLocation(); + cv::Rect result_rect = results[i].getLocation(); unsigned target_index = findOutput(result_rect); outputs_[target_index].rect = result_rect; auto fd_conf = results[i].getConfidence(); diff --git a/dynamic_vino_lib/src/outputs/ros_topic_output.cpp b/dynamic_vino_lib/src/outputs/ros_topic_output.cpp index c3fc62bd..1a33a97e 100644 --- a/dynamic_vino_lib/src/outputs/ros_topic_output.cpp +++ b/dynamic_vino_lib/src/outputs/ros_topic_output.cpp @@ -32,6 +32,8 @@ Outputs::RosTopicOutput::RosTopicOutput() // qos.reliability = RMW_QOS_POLICY_RELIABILITY_RELIABLE; // qos.history = RMW_QOS_POLICY_HISTORY_KEEP_ALL; node_ = rclcpp::Node::make_shared("topic_publisher"); + pub_person_reid_ = node_->create_publisher( + "/openvino_toolkit/reidentified_persons", 16); pub_segmented_object_ = node_->create_publisher( "/openvino_toolkit/segmented_obejcts", 16); pub_detected_object_ = node_->create_publisher( @@ -50,6 +52,7 @@ Outputs::RosTopicOutput::RosTopicOutput() age_gender_topic_ = nullptr; headpose_topic_ = nullptr; segmented_objects_topic_ = nullptr; + person_reid_topic_ = nullptr; } void Outputs::RosTopicOutput::feedFrame(const cv::Mat & frame) @@ -57,6 +60,23 @@ void Outputs::RosTopicOutput::feedFrame(const cv::Mat & frame) frame_ = frame.clone(); } +void Outputs::RosTopicOutput::accept( + const std::vector & results) +{ + person_reid_topic_ = std::make_shared(); + people_msgs::msg::Reidentification person; + for (auto & r : results) { + // slog::info << ">"; + auto loc = r.getLocation(); + person.roi.x_offset = loc.x; + person.roi.y_offset = loc.y; + person.roi.width = loc.width; + person.roi.height = loc.height; + person.identity = r.getPersonID(); + person_reid_topic_->reidentified_vector.push_back(person); + } +} + void Outputs::RosTopicOutput::accept( const std::vector & results) { @@ -182,6 +202,12 @@ void Outputs::RosTopicOutput::accept(const std::vectorheader = header; + pub_person_reid_->publish(person_reid_topic_); + person_reid_topic_ = nullptr; + } if (segmented_objects_topic_ != nullptr) { // slog::info << "publishing faces outputs." << slog::endl; segmented_objects_topic_->header = header; diff --git a/dynamic_vino_lib/src/outputs/rviz_output.cpp b/dynamic_vino_lib/src/outputs/rviz_output.cpp index 160a6f9e..b8959262 100644 --- a/dynamic_vino_lib/src/outputs/rviz_output.cpp +++ b/dynamic_vino_lib/src/outputs/rviz_output.cpp @@ -38,7 +38,8 @@ void Outputs::RvizOutput::feedFrame(const cv::Mat & frame) image_window_output_->feedFrame(frame); } -void Outputs::RvizOutput::accept(const std::vector & results) +void Outputs::RvizOutput::accept( + const std::vector & results) { image_window_output_->accept(results); } diff --git a/dynamic_vino_lib/src/pipeline.cpp b/dynamic_vino_lib/src/pipeline.cpp index 0e35e181..9ed2f411 100644 --- a/dynamic_vino_lib/src/pipeline.cpp +++ b/dynamic_vino_lib/src/pipeline.cpp @@ -294,13 +294,13 @@ void Pipeline::callback(const std::string & detection_name) if (detection_ptr_iter != name_to_detection_map_.end()) { auto next_detection_ptr = detection_ptr_iter->second; size_t result_length = detection_ptr->getResultsLength(); - size_t batch_size = detection_ptr->getMaxBatchSize(); + size_t batch_size = next_detection_ptr->getMaxBatchSize(); for (size_t i = 0; i < result_length; ++i) { const dynamic_vino_lib::Result * prev_result = detection_ptr->getLocationResult(i); auto clippedRect = prev_result->getLocation() & cv::Rect(0, 0, width_, height_); cv::Mat next_input = frame_(clippedRect); next_detection_ptr->enqueue(next_input, prev_result->getLocation()); - if ((i+1)%batch_size == 0) { + if ((i + 1) == result_length || (i + 1) % batch_size == 0) { increaseInferenceCounter(); next_detection_ptr->submitRequest(); auto request = next_detection_ptr->getEngine()->getRequest(); diff --git a/dynamic_vino_lib/src/pipeline_manager.cpp b/dynamic_vino_lib/src/pipeline_manager.cpp index 72c210ba..19c964c1 100644 --- a/dynamic_vino_lib/src/pipeline_manager.cpp +++ b/dynamic_vino_lib/src/pipeline_manager.cpp @@ -291,13 +291,14 @@ PipelineManager::createObjectSegmentation(const Params::ParamManager::InferenceP std::shared_ptr PipelineManager::createPersonReidentification( - const Params::ParamManager::InferenceParams& infer) { + const Params::ParamManager::InferenceParams & infer) +{ auto person_reidentification_model = - std::make_shared(infer.model, 1, 1, infer.batch); + std::make_shared(infer.model, 1, 1, infer.batch); person_reidentification_model->modelInit(); auto person_reidentification_engine = std::make_shared( - plugins_for_devices_[infer.engine], person_reidentification_model); - auto reidentification_inference_ptr = + plugins_for_devices_[infer.engine], person_reidentification_model); + auto reidentification_inference_ptr = std::make_shared(0.7); reidentification_inference_ptr->loadNetwork(person_reidentification_model); reidentification_inference_ptr->loadEngine(person_reidentification_engine); diff --git a/people_msgs/CMakeLists.txt b/people_msgs/CMakeLists.txt index c0d35a7a..2e5d06b6 100644 --- a/people_msgs/CMakeLists.txt +++ b/people_msgs/CMakeLists.txt @@ -40,6 +40,8 @@ rosidl_generate_interfaces(${PROJECT_NAME} "msg/HeadPoseStamped.msg" "msg/ObjectInMask.msg" "msg/ObjectsInMasks.msg" + "msg/Reidentification.msg" + "msg/ReidentificationStamped.msg" "srv/AgeGender.srv" "srv/Emotion.srv" "srv/HeadPose.srv" diff --git a/people_msgs/msg/Reidentification.msg b/people_msgs/msg/Reidentification.msg new file mode 100644 index 00000000..a3de50ec --- /dev/null +++ b/people_msgs/msg/Reidentification.msg @@ -0,0 +1,17 @@ +# Copyright (c) 2017 Intel Corporation +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# This message can represent a reidentified person and its ID +string identity # person ID +sensor_msgs/RegionOfInterest roi # region of interest \ No newline at end of file diff --git a/people_msgs/msg/ReidentificationStamped.msg b/people_msgs/msg/ReidentificationStamped.msg new file mode 100644 index 00000000..cba3c33e --- /dev/null +++ b/people_msgs/msg/ReidentificationStamped.msg @@ -0,0 +1,17 @@ +# Copyright (c) 2017 Intel Corporation +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# This message can represent reidentified persons and its IDs +std_msgs/Header header # timestamp in header is the time the sensor captured the raw data +Reidentification[] reidentified_vector # ObjectInBox array \ No newline at end of file diff --git a/sample/param/pipeline_reidentification.yaml b/sample/param/pipeline_reidentification.yaml index b50f77df..8d5d5dad 100644 --- a/sample/param/pipeline_reidentification.yaml +++ b/sample/param/pipeline_reidentification.yaml @@ -15,13 +15,13 @@ Pipelines: label: to/be/set/xxx.labels batch: 1 confidence_threshold: 0.7 - outputs: [ImageWindow, RViz] + outputs: [ImageWindow, RViz, RosTopic] connects: - left: StandardCamera right: [ObjectDetection] - left: ObjectDetection right: [PersonReidentification] - left: PersonReidentification - right: [ImageWindow] + right: [ImageWindow, RViz, RosTopic] OpenvinoCommon: \ No newline at end of file From 2317e81f6a5e1e776e3e612b7d604c7b4205f5a6 Mon Sep 17 00:00:00 2001 From: Houk Chen Date: Fri, 1 Mar 2019 13:13:39 +0800 Subject: [PATCH 11/28] enable confidence_threshold parameter for person_reid --- dynamic_vino_lib/src/pipeline_manager.cpp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dynamic_vino_lib/src/pipeline_manager.cpp b/dynamic_vino_lib/src/pipeline_manager.cpp index 19c964c1..c2246301 100644 --- a/dynamic_vino_lib/src/pipeline_manager.cpp +++ b/dynamic_vino_lib/src/pipeline_manager.cpp @@ -299,7 +299,7 @@ PipelineManager::createPersonReidentification( auto person_reidentification_engine = std::make_shared( plugins_for_devices_[infer.engine], person_reidentification_model); auto reidentification_inference_ptr = - std::make_shared(0.7); + std::make_shared(infer.confidence_threshold); reidentification_inference_ptr->loadNetwork(person_reidentification_model); reidentification_inference_ptr->loadEngine(person_reidentification_engine); From 39040a52674e33f22739335984de1a767f362f62 Mon Sep 17 00:00:00 2001 From: Lewis Liu Date: Mon, 4 Mar 2019 14:41:07 +0800 Subject: [PATCH 12/28] code refactoring for service interface support. Signed-off-by: Lewis Liu --- README.md | 10 + doc/BINARY_VERSION_README.md | 10 + .../include/dynamic_vino_lib/common.hpp | 6 +- .../dynamic_vino_lib/inputs/base_input.hpp | 7 +- .../dynamic_vino_lib/inputs/image_input.hpp | 4 +- .../inputs/realsense_camera.hpp | 1 - .../inputs/realsense_camera_topic.hpp | 1 - .../inputs/standard_camera.hpp | 1 - .../dynamic_vino_lib/inputs/video_input.hpp | 1 - .../dynamic_vino_lib/outputs/base_output.hpp | 21 ++- .../outputs/ros_service_output.hpp | 61 ++----- .../outputs/ros_topic_output.hpp | 4 +- .../include/dynamic_vino_lib/pipeline.hpp | 6 +- .../services/frame_processing_server.hpp | 33 +--- dynamic_vino_lib/src/factory.cpp | 6 +- dynamic_vino_lib/src/inputs/image_input.cpp | 25 +-- .../src/inputs/image_service_input.cpp | 57 ------ .../src/inputs/realsense_camera.cpp | 5 +- .../src/inputs/realsense_camera_topic.cpp | 4 - .../src/inputs/standard_camera.cpp | 5 - dynamic_vino_lib/src/inputs/video_input.cpp | 5 - .../src/models/head_pose_detection_model.cpp | 2 +- .../src/outputs/ros_service_output.cpp | 152 +++++++--------- dynamic_vino_lib/src/pipeline.cpp | 33 ---- .../src/services/frame_processing_server.cpp | 172 +++++------------- people_msgs/CMakeLists.txt | 5 +- people_msgs/msg/PersonsStamped.msg | 19 ++ people_msgs/package.xml | 2 + people_msgs/srv/People.srv | 17 ++ sample/CMakeLists.txt | 48 +++++ sample/launch/image_people_server.launch.py | 33 ++++ sample/param/image_object_server_oss.yaml | 4 +- sample/param/image_people_server.yaml | 12 +- sample/param/image_people_server_oss.yaml | 40 ++++ sample/src/image_object_client.cpp | 4 +- sample/src/image_object_server.cpp | 5 +- sample/src/image_people_client.cpp | 59 +++--- sample/src/image_people_server.cpp | 75 ++++++++ sample/src/image_server.cpp | 3 +- 39 files changed, 485 insertions(+), 473 deletions(-) delete mode 100644 dynamic_vino_lib/src/inputs/image_service_input.cpp create mode 100644 people_msgs/msg/PersonsStamped.msg create mode 100644 people_msgs/srv/People.srv create mode 100644 sample/launch/image_people_server.launch.py create mode 100644 sample/param/image_people_server_oss.yaml create mode 100644 sample/src/image_people_server.cpp diff --git a/README.md b/README.md index a8e5bc9c..82043f3b 100644 --- a/README.md +++ b/README.md @@ -189,6 +189,16 @@ One-step installation scripts are provided for the dependencies' installation. P ```bash ros2 run dynamic_vino_sample image_object_client ~/Pictures/car.png ``` +* run face detection service sample code input from Image + Run image processing service: + ```bash + ros2 launch dynamic_vino_sample image_people_server_oss.launch.py + ``` + Run example application with an absolute path of an image on another console: + ```bash + ros2 run dynamic_vino_sample image_people_client ~/Pictures/face.png + ``` + # TODO Features * Support **result filtering** for inference process, so that the inference results can be filtered to different subsidiary inference. For example, given an image, firstly we do Object Detection on it, secondly we pass cars to vehicle brand recognition and pass license plate to license number recognition. diff --git a/doc/BINARY_VERSION_README.md b/doc/BINARY_VERSION_README.md index 3df484b4..c9d8dad1 100644 --- a/doc/BINARY_VERSION_README.md +++ b/doc/BINARY_VERSION_README.md @@ -187,6 +187,16 @@ This project is a ROS2 wrapper for CV API of [OpenVINO™](https://software.inte ```bash ros2 run dynamic_vino_sample image_object_client ~/Pictures/car.png ``` +* run people detection service sample code input from Image + Run image processing service: + ```bash + ros2 launch dynamic_vino_sample image_people_server.launch.py + ``` + Run example application with an absolute path of an image on another console: + ```bash + ros2 run dynamic_vino_sample image_people_client ~/Pictures/face.png + ``` + ## 6.Known Issues * Possible problems diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/common.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/common.hpp index ad6548cb..fd0de215 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/common.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/common.hpp @@ -308,7 +308,7 @@ static UNUSED void writeOutputBmp( { unsigned int seed = (unsigned int)time(NULL); // Known colors for training classes from Cityscape dataset - static std::vector colors = { {128, 64, 128}, {232, 35, 244}, {70, 70, 70}, + static std::vector colors = {{128, 64, 128}, {232, 35, 244}, {70, 70, 70}, {156, 102, 102}, {153, 153, 190}, {153, 153, 153}, {30, 170, 250}, {0, 220, 220}, {35, 142, 107}, {152, 251, 152}, {180, 130, 70}, {60, 20, 220}, @@ -497,7 +497,7 @@ static UNUSED void addRectangles( unsigned char * data, size_t height, size_t width, std::vector rectangles, std::vector classes) { - std::vector colors = { {128, 64, 128}, {232, 35, 244}, {70, 70, 70}, + std::vector colors = {{128, 64, 128}, {232, 35, 244}, {70, 70, 70}, {156, 102, 102}, {153, 153, 190}, {153, 153, 153}, {30, 170, 250}, {0, 220, 220}, {35, 142, 107}, {152, 251, 152}, {180, 130, 70}, {60, 20, 220}, @@ -1071,7 +1071,7 @@ static UNUSED void addRectangles( unsigned char * data, size_t height, size_t width, std::vector detectedObjects) { - std::vector colors = { {128, 64, 128}, {232, 35, 244}, {70, 70, 70}, + std::vector colors = {{128, 64, 128}, {232, 35, 244}, {70, 70, 70}, {156, 102, 102}, {153, 153, 190}, {153, 153, 153}, {30, 170, 250}, {0, 220, 220}, {35, 142, 107}, {152, 251, 152}, {180, 130, 70}, {60, 20, 220}, diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/inputs/base_input.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/inputs/base_input.hpp index 5c707139..820abcbc 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/inputs/base_input.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/inputs/base_input.hpp @@ -31,6 +31,11 @@ */ namespace Input { +struct Config +{ + std::string path; +}; + class BaseInputDevice : public Ros2Handler { public: @@ -62,7 +67,7 @@ class BaseInputDevice : public Ros2Handler return true; } - virtual void config() = 0; //< TODO + virtual void config(const Config&){}; virtual ~BaseInputDevice() = default; /** * @brief Get the width of the frame read from input device. diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/inputs/image_input.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/inputs/image_input.hpp index 9b9f0832..25d8f07b 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/inputs/image_input.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/inputs/image_input.hpp @@ -62,8 +62,8 @@ class Image : public BaseInputDevice * @return Whether the next frame is successfully read. */ bool read(cv::Mat * frame) override; - bool readService(cv::Mat * frame, std::string config_path); - void config() override; + + void config(const Config&) override; private: cv::Mat image_; diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/inputs/realsense_camera.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/inputs/realsense_camera.hpp index 03d1bbc6..acabb945 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/inputs/realsense_camera.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/inputs/realsense_camera.hpp @@ -58,7 +58,6 @@ class RealSenseCamera : public BaseInputDevice * @return Whether the next frame is successfully read. */ bool read(cv::Mat * frame) override; - void config() override; private: rs2::config cfg_; diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/inputs/realsense_camera_topic.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/inputs/realsense_camera_topic.hpp index b76a692c..b6789f52 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/inputs/realsense_camera_topic.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/inputs/realsense_camera_topic.hpp @@ -48,7 +48,6 @@ class RealSenseCameraTopic : public BaseInputDevice, public rclcpp::Node return true; } bool read(cv::Mat * frame) override; - void config() override; private: rclcpp::Subscription::SharedPtr sub_; diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/inputs/standard_camera.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/inputs/standard_camera.hpp index 0af9ee81..8a52c022 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/inputs/standard_camera.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/inputs/standard_camera.hpp @@ -55,7 +55,6 @@ class StandardCamera : public BaseInputDevice * @return Whether the next frame is successfully read. */ bool read(cv::Mat * frame) override; - void config() override; private: cv::VideoCapture cap; diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/inputs/video_input.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/inputs/video_input.hpp index 5ac76863..8d048300 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/inputs/video_input.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/inputs/video_input.hpp @@ -59,7 +59,6 @@ class Video : public BaseInputDevice * @return Whether the next frame is successfully read. */ bool read(cv::Mat * frame) override; - void config() override; private: cv::VideoCapture cap; diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/outputs/base_output.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/outputs/base_output.hpp index d2625777..e440cddb 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/outputs/base_output.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/outputs/base_output.hpp @@ -30,6 +30,7 @@ #include #include #include +#include #include #include #include @@ -119,12 +120,24 @@ class BaseOutput int getFPS() const; void setPipeline(Pipeline * const pipeline); - virtual void setResponse(std::shared_ptr response) {} - virtual void setResponse(std::shared_ptr response) {} - virtual void setResponse(std::shared_ptr response) {} - virtual void setResponse(std::shared_ptr response) {} + + virtual void setServiceResponse( + std::shared_ptr response) {} + virtual void setServiceResponseForFace( + std::shared_ptr response) {} + virtual void setServiceResponse( + std::shared_ptr response) {} + virtual void setServiceResponse( + std::shared_ptr response) {} + virtual void setServiceResponse( + std::shared_ptr response) {} + virtual void setServiceResponse( + std::shared_ptr response) {} + Pipeline * getPipeline() const; cv::Mat getFrame() const; + + virtual void clearData() {} protected: cv::Mat frame_; diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/outputs/ros_service_output.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/outputs/ros_service_output.hpp index 4af36622..602dc4ee 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/outputs/ros_service_output.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/outputs/ros_service_output.hpp @@ -37,71 +37,36 @@ #include #include "dynamic_vino_lib/inferences/face_detection.hpp" -#include "dynamic_vino_lib/outputs/base_output.hpp" +#include "dynamic_vino_lib/outputs/ros_topic_output.hpp" namespace Outputs { /** - * @class RosTopicOutput - * @brief This class handles and publish the detection result with ros topic. + * @class RosServiceOutput + * @brief This class handles and publish the detection result for service calling. */ -class RosServiceOutput : public BaseOutput +class RosServiceOutput : public RosTopicOutput { public: RosServiceOutput() {} - /** - * @brief Calculate the camera matrix of a frame. - * @param[in] A frame. - */ - void feedFrame(const cv::Mat &) override; + /** * @brief Publish all the detected infomations generated by the accept * functions with ros topic. */ void handleOutput() override {} - /** - * @brief Generate ros topic infomation according to - * the object detection result. - * @param[in] results a bundle of object detection results. - */ - void accept(const std::vector & results) override; - /** - * @brief Generate ros topic infomation according to - * the face detection result. - * @param[in] An face detection result objetc. - */ - void accept(const std::vector &) override; - /** - * @brief Generate ros topic infomation according to - * the emotion detection result. - * @param[in] An emotion detection result objetc. - */ - void accept(const std::vector &) override; - /** - * @brief Generate ros topic infomation according to - * the age gender detection result. - * @param[in] An age gender detection result objetc. - */ - void accept(const std::vector &) override; - /** - * @brief Generate ros topic infomation according to - * the headpose detection result. - * @param[in] An head pose detection result objetc. - */ - void accept(const std::vector &) override; - void setResponse(std::shared_ptr response); + void clearData() override; + + void setServiceResponse(std::shared_ptr response); + void setResponseForFace(std::shared_ptr response); + void setServiceResponse(std::shared_ptr response); + void setServiceResponse(std::shared_ptr response); + void setServiceResponse(std::shared_ptr response); + void setServiceResponse(std::shared_ptr response); private: - std_msgs::msg::Header getHeader(); const std::string service_name_; - std::shared_ptr node_; - object_msgs::msg::ObjectInBox object_; - std::vector objects_; - object_msgs::msg::ObjectInBox face_; - people_msgs::msg::Emotion emotion_; - people_msgs::msg::AgeGender ag_; - people_msgs::msg::HeadPose hp_; }; } // namespace Outputs #endif // DYNAMIC_VINO_LIB__OUTPUTS__ROS_SERVICE_OUTPUT_HPP_ diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/outputs/ros_topic_output.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/outputs/ros_topic_output.hpp index ecc6d454..45a24a34 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/outputs/ros_topic_output.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/outputs/ros_topic_output.hpp @@ -62,7 +62,7 @@ class RosTopicOutput : public BaseOutput * @brief Publish all the detected infomations generated by the accept * functions with ros topic. */ - void handleOutput() override; + virtual void handleOutput() override; /** * @brief Generate ros topic infomation according to * the person reidentification result. @@ -106,7 +106,7 @@ class RosTopicOutput : public BaseOutput */ void accept(const std::vector &) override; -private: +protected: std_msgs::msg::Header getHeader(); const std::string topic_name_; std::shared_ptr node_; diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/pipeline.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/pipeline.hpp index 44f21279..7b2b66dd 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/pipeline.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/pipeline.hpp @@ -86,11 +86,7 @@ class Pipeline * Data flow from input device to inference network, then to output device. */ void runOnce(); - /** - * @brief The callback function provided for all the inference network in the - * pipeline. - */ - void runService(std::string config_path); + void callback(const std::string & detection_name); /** * @brief Set the inference network to call the callback function as soon as diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/services/frame_processing_server.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/services/frame_processing_server.hpp index a157cf7b..41c66783 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/services/frame_processing_server.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/services/frame_processing_server.hpp @@ -36,37 +36,24 @@ namespace vino_service { +template class FrameProcessingServer : public rclcpp::Node { public: - explicit FrameProcessingServer(const std::string service_name, const std::string config_path); + explicit FrameProcessingServer(const std::string & service_name, + const std::string & config_path); + + void initService(const std::string & config_path); private: - void cbFaceDetection( - const std::shared_ptr request, - std::shared_ptr response); + void cbService(const std::shared_ptr< typename T::Request> request, std::shared_ptr response); - void cbAgeGenderRecognition( - const std::shared_ptr request, - std::shared_ptr response); + //rclcpp::Service::SharedPtr service_; + std::shared_ptr> service_; - void cbEmotionRecognition( - const std::shared_ptr request, - std::shared_ptr response); + std::string service_name_; + std::string config_path_; - void cbHeadPoseRecognition( - const std::shared_ptr request, - std::shared_ptr response); - - void cbObjectDetection( - const std::shared_ptr request, - std::shared_ptr response); - - rclcpp::Service::SharedPtr face_service_; - rclcpp::Service::SharedPtr age_gender_service_; - rclcpp::Service::SharedPtr emotion_service_; - rclcpp::Service::SharedPtr head_pose_service_; - rclcpp::Service::SharedPtr object_service_; }; } // namespace vino_service #endif // DYNAMIC_VINO_LIB__SERVICES__FRAME_PROCESSING_SERVER_HPP_ diff --git a/dynamic_vino_lib/src/factory.cpp b/dynamic_vino_lib/src/factory.cpp index 89c0fc76..07c9e357 100644 --- a/dynamic_vino_lib/src/factory.cpp +++ b/dynamic_vino_lib/src/factory.cpp @@ -74,11 +74,11 @@ Factory::makePluginByName( } else if (!custom_cldnn_message.empty()) { // Load Extensions for other plugins not CPU plugin.SetConfig( - { {InferenceEngine::PluginConfigParams::KEY_CONFIG_FILE, custom_cldnn_message}}); + {{InferenceEngine::PluginConfigParams::KEY_CONFIG_FILE, custom_cldnn_message}}); } if (performance_message) { - plugin.SetConfig({ {InferenceEngine::PluginConfigParams::KEY_PERF_COUNT, - InferenceEngine::PluginConfigParams::YES}}); + plugin.SetConfig({{InferenceEngine::PluginConfigParams::KEY_PERF_COUNT, + InferenceEngine::PluginConfigParams::YES}}); } return std::make_unique( InferenceEngine::InferenceEnginePluginPtr(plugin)); diff --git a/dynamic_vino_lib/src/inputs/image_input.cpp b/dynamic_vino_lib/src/inputs/image_input.cpp index 1b4e7609..3f496bfd 100644 --- a/dynamic_vino_lib/src/inputs/image_input.cpp +++ b/dynamic_vino_lib/src/inputs/image_input.cpp @@ -19,6 +19,7 @@ #include #include "dynamic_vino_lib/inputs/image_input.hpp" +#include "dynamic_vino_lib/slog.hpp" Input::Image::Image(const std::string & file) { @@ -48,24 +49,12 @@ bool Input::Image::read(cv::Mat * frame) return true; } -bool Input::Image::readService(cv::Mat * frame, std::string config_path) +void Input::Image::config(const Input::Config & config) { - image_ = cv::imread(config_path); - if (image_.data != NULL) { - setInitStatus(true); - setWidth((size_t)image_.cols); - setHeight((size_t)image_.rows); - } else { - setInitStatus(false); - } - if (!isInit()) { - return false; + if(config.path != "") + { + file_.assign(config.path); + initialize(); + slog::info << "Image Input device was reinitialized with new file:" << config.path.c_str() << slog::endl; } - *frame = image_; - return true; -} - -void Input::Image::config() -{ - // TODO(weizhi): config } diff --git a/dynamic_vino_lib/src/inputs/image_service_input.cpp b/dynamic_vino_lib/src/inputs/image_service_input.cpp deleted file mode 100644 index de5700e5..00000000 --- a/dynamic_vino_lib/src/inputs/image_service_input.cpp +++ /dev/null @@ -1,57 +0,0 @@ -// Copyright (c) 2018 Intel Corporation -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -/** - * @brief a header file with declaration of Image class - * @file image_input.cpp - */ - -#include -#include "dynamic_vino_lib/inputs/image_service_input.hpp" - -// Image -Input::ServiceImage::ServiceImage(const std::string & file) -{ - file_.assign(file); -} - -bool Input::ServiceImage::initialize() -{ - image_ = cv::imread(file_); - if (image_.data != NULL) { - setInitStatus(true); - setWidth((size_t)image_.cols); - setHeight((size_t)image_.rows); - } else { - setInitStatus(false); - } - return isInit(); -} - -bool Input::ServiceImage::read(cv::Mat * frame) -{ - if (!isInit()) { - return false; - } - - // parse request before assign - // .... - *frame = image_; - return true; -} - -void Input::ServiceImage::config() -{ - // TODO(weizhi): config -} diff --git a/dynamic_vino_lib/src/inputs/realsense_camera.cpp b/dynamic_vino_lib/src/inputs/realsense_camera.cpp index 85db27bc..81ad9110 100644 --- a/dynamic_vino_lib/src/inputs/realsense_camera.cpp +++ b/dynamic_vino_lib/src/inputs/realsense_camera.cpp @@ -91,7 +91,4 @@ bool Input::RealSenseCamera::read(cv::Mat * frame) .copyTo(*frame); return true; } -void Input::RealSenseCamera::config() -{ - // TODO(weizhi): config -} + diff --git a/dynamic_vino_lib/src/inputs/realsense_camera_topic.cpp b/dynamic_vino_lib/src/inputs/realsense_camera_topic.cpp index e3129c6a..1dfac2a1 100644 --- a/dynamic_vino_lib/src/inputs/realsense_camera_topic.cpp +++ b/dynamic_vino_lib/src/inputs/realsense_camera_topic.cpp @@ -63,7 +63,3 @@ bool Input::RealSenseCameraTopic::read(cv::Mat * frame) return true; } -void Input::RealSenseCameraTopic::config() -{ - // TODO(weizhi): config -} diff --git a/dynamic_vino_lib/src/inputs/standard_camera.cpp b/dynamic_vino_lib/src/inputs/standard_camera.cpp index ea96ddb0..e02cd5f4 100644 --- a/dynamic_vino_lib/src/inputs/standard_camera.cpp +++ b/dynamic_vino_lib/src/inputs/standard_camera.cpp @@ -58,8 +58,3 @@ bool Input::StandardCamera::read(cv::Mat * frame) cap.grab(); return cap.retrieve(*frame); } - -void Input::StandardCamera::config() -{ - // TODO(weizhi): config -} diff --git a/dynamic_vino_lib/src/inputs/video_input.cpp b/dynamic_vino_lib/src/inputs/video_input.cpp index ac51e54c..df9e4664 100644 --- a/dynamic_vino_lib/src/inputs/video_input.cpp +++ b/dynamic_vino_lib/src/inputs/video_input.cpp @@ -57,8 +57,3 @@ bool Input::Video::read(cv::Mat * frame) cap.grab(); return cap.retrieve(*frame); } - -void Input::Video::config() -{ - // TODO(weizhi): config -} diff --git a/dynamic_vino_lib/src/models/head_pose_detection_model.cpp b/dynamic_vino_lib/src/models/head_pose_detection_model.cpp index 0b26cae1..8263d6a2 100644 --- a/dynamic_vino_lib/src/models/head_pose_detection_model.cpp +++ b/dynamic_vino_lib/src/models/head_pose_detection_model.cpp @@ -36,7 +36,7 @@ void Models::HeadPoseDetectionModel::checkLayerProperty( { slog::info << "Checking Head Pose network outputs" << slog::endl; InferenceEngine::OutputsDataMap outputInfo(net_reader->getNetwork().getOutputsInfo()); - std::map layerNames = { {output_angle_r_, false}, + std::map layerNames = {{output_angle_r_, false}, {output_angle_p_, false}, {output_angle_y_, false}}; diff --git a/dynamic_vino_lib/src/outputs/ros_service_output.cpp b/dynamic_vino_lib/src/outputs/ros_service_output.cpp index bd21812d..2cf248fe 100644 --- a/dynamic_vino_lib/src/outputs/ros_service_output.cpp +++ b/dynamic_vino_lib/src/outputs/ros_service_output.cpp @@ -13,8 +13,8 @@ // limitations under the License. /** - * @brief a header file with declaration of RosTopicOutput class - * @file ros_topic_output.cpp + * @brief a header file with declaration of RosServiceOutput class + * @file ros_service_output.cpp */ #include @@ -25,115 +25,91 @@ // Outputs::RosServiceOutput::RosServiceOutput() -void Outputs::RosServiceOutput::feedFrame(const cv::Mat & frame) -{ - frame_ = frame.clone(); -} -void Outputs::RosServiceOutput::accept( - const std::vector & results) +void Outputs::RosServiceOutput::setServiceResponse( + std::shared_ptr response) { - objects_.clear(); - for (auto & r : results) { - auto loc = r.getLocation(); - object_.roi.x_offset = loc.x; - object_.roi.y_offset = loc.y; - object_.roi.width = loc.width; - object_.roi.height = loc.height; - object_.object.object_name = r.getLabel(); - object_.object.probability = r.getConfidence(); - objects_.push_back(object_); + if(detected_objects_topic_ != nullptr && detected_objects_topic_->objects_vector.size()>0) + { + response->objects.objects_vector = detected_objects_topic_->objects_vector; + } else if(faces_topic_ != nullptr && faces_topic_->objects_vector.size()>0) + { + response->objects.objects_vector = faces_topic_->objects_vector; } } -void Outputs::RosServiceOutput::accept( - const std::vector & results) +void Outputs::RosServiceOutput::setResponseForFace( + std::shared_ptr response) { - for (auto r : results) { - // slog::info << ">"; - auto loc = r.getLocation(); - face_.roi.x_offset = loc.x; - face_.roi.y_offset = loc.y; - face_.roi.width = loc.width; - face_.roi.height = loc.height; - face_.object.object_name = r.getLabel(); - face_.object.probability = r.getConfidence(); - // faces_topic_->objects_vector.push_back(face); - // objects_topic_->objects_vector.push_back(face); + if(faces_topic_ != nullptr && faces_topic_->objects_vector.size()>0) + { + response->objects.objects_vector = faces_topic_->objects_vector; } } -void Outputs::RosServiceOutput::accept( - const std::vector & results) +void Outputs::RosServiceOutput::setServiceResponse( + std::shared_ptr response) { - for (auto r : results) { - auto loc = r.getLocation(); - emotion_.roi.x_offset = loc.x; - emotion_.roi.y_offset = loc.y; - emotion_.roi.width = loc.width; - emotion_.roi.height = loc.height; - emotion_.emotion = r.getLabel(); - // emotions_topic_->emotions.push_back(emotion); + if(age_gender_topic_ != nullptr) + { + response->age_gender.objects = age_gender_topic_->objects; } } -void Outputs::RosServiceOutput::accept( - const std::vector & results) +void Outputs::RosServiceOutput::setServiceResponse( + std::shared_ptr response) { - for (auto r : results) { - auto loc = r.getLocation(); - ag_.roi.x_offset = loc.x; - ag_.roi.y_offset = loc.y; - ag_.roi.width = loc.width; - ag_.roi.height = loc.height; - ag_.age = r.getAge(); - auto male_prob = r.getMaleProbability(); - if (male_prob > 0.5) { - ag_.gender = "Male"; - ag_.gender_confidence = male_prob; - } else { - ag_.gender = "Female"; - ag_.gender_confidence = 1.0 - male_prob; - } - // age_gender_topic_->objects.push_back(ag); + if(emotions_topic_ != nullptr) + { + response->emotion.emotions = emotions_topic_->emotions; } } -void Outputs::RosServiceOutput::accept( - const std::vector & results) +void Outputs::RosServiceOutput::setServiceResponse( + std::shared_ptr response) { - for (auto r : results) { - auto loc = r.getLocation(); - hp_.roi.x_offset = loc.x; - hp_.roi.y_offset = loc.y; - hp_.roi.width = loc.width; - hp_.roi.height = loc.height; - hp_.yaw = r.getAngleY(); - hp_.pitch = r.getAngleP(); - hp_.roll = r.getAngleR(); - // headpose_topic_->headposes.push_back(hp); + if(headpose_topic_ != nullptr) + { + response->headpose.headposes = headpose_topic_->headposes; } } -// void Outputs::RosServiceOutput::handleOutput() - -void Outputs::RosServiceOutput::setResponse( - std::shared_ptr response) +void Outputs::RosServiceOutput::setServiceResponse( + std::shared_ptr response) { - response->objects.objects_vector = objects_; + slog::info << "in People::Response ..."; + if(faces_topic_ != nullptr) + { + slog::info << "[FACES],"; + response->persons.faces = faces_topic_->objects_vector; + } else if(detected_objects_topic_ != nullptr) + { + slog::info << "[FACES(objects)],"; + response->persons.faces = detected_objects_topic_->objects_vector; + } + if(age_gender_topic_ != nullptr) + { + slog::info << "[AGE_GENDER],"; + response->persons.agegenders = age_gender_topic_->objects; + } + if(emotions_topic_ != nullptr) + { + slog::info << "[EMOTION],"; + response->persons.emotions = emotions_topic_->emotions; + } + if(headpose_topic_ != nullptr) + { + slog::info << "[HEADPOSE],"; + response->persons.headposes = headpose_topic_->headposes; + } + slog::info << "DONE!" << slog::endl; } -/** - * TODO: implement the value gain - */ -std_msgs::msg::Header Outputs::RosServiceOutput::getHeader() +void Outputs::RosServiceOutput::clearData() { - std_msgs::msg::Header header; - header.frame_id = "default_camera"; - - std::chrono::high_resolution_clock::time_point tp = std::chrono::high_resolution_clock::now(); - int64 ns = tp.time_since_epoch().count(); - header.stamp.sec = ns / 1000000000; - header.stamp.nanosec = ns % 1000000000; - return header; + faces_topic_ = nullptr; + detected_objects_topic_ = nullptr; + age_gender_topic_ = nullptr; + emotions_topic_ = nullptr; + headpose_topic_ = nullptr; } diff --git a/dynamic_vino_lib/src/pipeline.cpp b/dynamic_vino_lib/src/pipeline.cpp index 9ed2f411..dd94e76e 100644 --- a/dynamic_vino_lib/src/pipeline.cpp +++ b/dynamic_vino_lib/src/pipeline.cpp @@ -214,39 +214,6 @@ void Pipeline::runOnce() } } -void Pipeline::runService(std::string config_path) -{ - std::cout << "run service once" << std::endl; - initInferenceCounter(); - - if (!frame_.empty()) { - frame_.release(); - } - - if (!input_device_->readService(&frame_, config_path)) { - // throw std::logic_error("Failed to get frame from cv::VideoCapture"); - slog::warn << "Failed to get frame from input_device." << slog::endl; - } - width_ = frame_.cols; - height_ = frame_.rows; - for (auto & pair : name_to_output_map_) { - pair.second->feedFrame(frame_); - } - - auto pos = next_.equal_range(input_device_name_); - std::string detection_name = pos.first->second; - auto detection_ptr = name_to_detection_map_[detection_name]; - - detection_ptr->enqueue(frame_, cv::Rect(width_ / 2, height_ / 2, width_, height_)); - detection_ptr->SynchronousRequest(); - - bool fetch_or_not = detection_ptr->fetchResults(); - - for (auto & pair : name_to_output_map_) { - detection_ptr->observeOutput(pair.second); - } -} - void Pipeline::printPipeline() { for (auto & current_node : next_) { diff --git a/dynamic_vino_lib/src/services/frame_processing_server.cpp b/dynamic_vino_lib/src/services/frame_processing_server.cpp index 14fc80d9..ce13b36f 100644 --- a/dynamic_vino_lib/src/services/frame_processing_server.cpp +++ b/dynamic_vino_lib/src/services/frame_processing_server.cpp @@ -20,167 +20,85 @@ #include #include #include +#include +#include #include "dynamic_vino_lib/pipeline_manager.hpp" #include "dynamic_vino_lib/pipeline.hpp" #include "dynamic_vino_lib/inputs/base_input.hpp" #include "dynamic_vino_lib/inputs/image_input.hpp" #include "dynamic_vino_lib/slog.hpp" +#include +#include + namespace vino_service { -FrameProcessingServer::FrameProcessingServer( - const std::string service_name, - const std::string config_path) +template +FrameProcessingServer::FrameProcessingServer( + const std::string & service_name +, const std::string & config_path) : Node("node_with_service") +, service_name_(service_name) +, config_path_(config_path) +{ + initService(config_path); +} + +template +void FrameProcessingServer::initService( + const std::string & config_path) { Params::ParamManager::getInstance().parse(config_path); Params::ParamManager::getInstance().print(); auto pcommon = Params::ParamManager::getInstance().getCommon(); auto pipelines = Params::ParamManager::getInstance().getPipelines(); - if (pipelines.size() < 1) { - throw std::logic_error("Pipeline parameters should be set!"); + if (pipelines.size() != 1) { + throw std::logic_error("1 and only 1 pipeline can be set to FrameProcessServer!"); } for (auto & p : pipelines) { PipelineManager::getInstance().createPipeline(p); } - for (auto & p : pipelines) { - for (unsigned int i = 0; i < p.infers.size(); i++) { - if (!p.infers[i].name.compare("FaceDetection")) { - face_service_ = create_service( - "/detect_face", std::bind(&FrameProcessingServer::cbFaceDetection, this, - std::placeholders::_1, std::placeholders::_2)); - } else if (!p.infers[i].name.compare("AgeGenderRecognition")) { - age_gender_service_ = create_service( - "/detect_age_gender", std::bind(&FrameProcessingServer::cbAgeGenderRecognition, this, - std::placeholders::_1, std::placeholders::_2)); - } else if (!p.infers[i].name.compare("EmotionRecognition")) { - emotion_service_ = create_service( - "/detect_emotion", std::bind(&FrameProcessingServer::cbEmotionRecognition, this, + service_ = create_service("/openvino_toolkit/service", + std::bind(&FrameProcessingServer::cbService, this, std::placeholders::_1, std::placeholders::_2)); - } else if (!p.infers[i].name.compare("HeadPoseEstimation")) { - head_pose_service_ = create_service( - "/detect_head_pose", std::bind(&FrameProcessingServer::cbHeadPoseRecognition, this, - std::placeholders::_1, std::placeholders::_2)); - } else if (!p.infers[i].name.compare("ObjectDetection")) { - object_service_ = create_service( - "/detect_object", std::bind(&FrameProcessingServer::cbObjectDetection, this, - std::placeholders::_1, std::placeholders::_2)); - } - } - } -} - -void FrameProcessingServer::cbFaceDetection( - const std::shared_ptr request, - std::shared_ptr response) -{ - /* -std::map pipelines_ = -PipelineManager::getInstance().getPipelines(); -for (auto it = pipelines_.begin(); it != pipelines_.end(); ++it) { - PipelineManager::PipelineData& p = pipelines_[it->second.params.name.c_str()]; - //p.pipeline->runService(request->image_path); - //auto output_handle = p.pipeline->getOutputHandle(); - - for (auto& pair : output_handle) { - if (pair.first.compare("FaceDetection")) { - pair.second -> setResponse(response); - response->objects.inference_time_ms = 11.11; - } - } - */ - // p.pipeline->runService(request->image_path); - response->objects.inference_time_ms = 11.11; - //} -} - -void FrameProcessingServer::cbAgeGenderRecognition( - const std::shared_ptr request, - std::shared_ptr response) -{ - std::cout << "inside cb" << std::endl; - - std::map pipelines_ = - PipelineManager::getInstance().getPipelines(); - for (auto it = pipelines_.begin(); it != pipelines_.end(); ++it) { - PipelineManager::PipelineData & p = pipelines_[it->second.params.name.c_str()]; - p.pipeline->runService(request->image_path); - auto output_handle = p.pipeline->getOutputHandle(); - - for (auto & pair : output_handle) { - if (pair.first.compare("AgeGenderRecognition")) { - pair.second->setResponse(response); - } - } - // p.pipeline->runService(request->image_path); - } -} - -void FrameProcessingServer::cbEmotionRecognition( - const std::shared_ptr request, - std::shared_ptr response) -{ - std::cout << "inside cb" << std::endl; - - std::map pipelines_ = - PipelineManager::getInstance().getPipelines(); - for (auto it = pipelines_.begin(); it != pipelines_.end(); ++it) { - PipelineManager::PipelineData & p = pipelines_[it->second.params.name.c_str()]; - p.pipeline->runService(request->image_path); - auto output_handle = p.pipeline->getOutputHandle(); - - for (auto & pair : output_handle) { - if (pair.first.compare("EmotionRecognition")) { - pair.second->setResponse(response); - } - } - // p.pipeline->runService(request->image_path); - } -} - -void FrameProcessingServer::cbHeadPoseRecognition( - const std::shared_ptr request, - std::shared_ptr response) -{ - std::cout << "inside cb" << std::endl; - - std::map pipelines_ = - PipelineManager::getInstance().getPipelines(); - for (auto it = pipelines_.begin(); it != pipelines_.end(); ++it) { - PipelineManager::PipelineData & p = pipelines_[it->second.params.name.c_str()]; - p.pipeline->runService(request->image_path); - auto output_handle = p.pipeline->getOutputHandle(); - - for (auto & pair : output_handle) { - if (pair.first.compare("HeadPoseEstimation")) { - pair.second->setResponse(response); - } - } - // p.pipeline->runService(request->image_path); - } } -void FrameProcessingServer::cbObjectDetection( - const std::shared_ptr request, - std::shared_ptr response) +template +void FrameProcessingServer::cbService( + const std::shared_ptr request, + std::shared_ptr response) { std::map pipelines_ = PipelineManager::getInstance().getPipelines(); - for (auto it = pipelines_.begin(); it != pipelines_.end(); ++it) { + for (auto it = pipelines_.begin(); it != pipelines_.end(); ++it) + { PipelineManager::PipelineData & p = pipelines_[it->second.params.name.c_str()]; - p.pipeline->runService(request->image_path); + auto input = p.pipeline->getInputDevice(); + Input::Config config; + config.path = request->image_path; + input->config(config); + p.pipeline->runOnce(); auto output_handle = p.pipeline->getOutputHandle(); - for (auto & pair : output_handle) { - if (!pair.first.compare("RosService")) { - pair.second->setResponse(response); + for (auto & pair : output_handle) + { + if (!pair.first.compare(kOutputTpye_RosService)) + { + //slog::info << "[FrameProcessingServer] Handling Output:" << pair.first.c_str() << slog::endl; + pair.second->setServiceResponse(response); + pair.second->clearData(); + return; //TODO, return directly, suppose only 1 pipeline dealing with 1 request. } } } + + slog::info << "[FrameProcessingServer] Callback finished!" << slog::endl; } +template class FrameProcessingServer; +template class FrameProcessingServer; } // namespace vino_service diff --git a/people_msgs/CMakeLists.txt b/people_msgs/CMakeLists.txt index 2e5d06b6..23e5d5b6 100644 --- a/people_msgs/CMakeLists.txt +++ b/people_msgs/CMakeLists.txt @@ -30,6 +30,7 @@ find_package(builtin_interfaces REQUIRED) find_package(std_msgs REQUIRED) find_package(sensor_msgs REQUIRED) find_package(geometry_msgs REQUIRED) +find_package(object_msgs REQUIRED) rosidl_generate_interfaces(${PROJECT_NAME} "msg/Emotion.msg" @@ -38,6 +39,7 @@ rosidl_generate_interfaces(${PROJECT_NAME} "msg/AgeGenderStamped.msg" "msg/HeadPose.msg" "msg/HeadPoseStamped.msg" + "msg/PersonsStamped.msg" "msg/ObjectInMask.msg" "msg/ObjectsInMasks.msg" "msg/Reidentification.msg" @@ -45,7 +47,8 @@ rosidl_generate_interfaces(${PROJECT_NAME} "srv/AgeGender.srv" "srv/Emotion.srv" "srv/HeadPose.srv" - DEPENDENCIES builtin_interfaces std_msgs sensor_msgs geometry_msgs + "srv/People.srv" + DEPENDENCIES builtin_interfaces std_msgs sensor_msgs object_msgs geometry_msgs ) ament_export_dependencies(rosidl_default_runtime) diff --git a/people_msgs/msg/PersonsStamped.msg b/people_msgs/msg/PersonsStamped.msg new file mode 100644 index 00000000..2aae1a08 --- /dev/null +++ b/people_msgs/msg/PersonsStamped.msg @@ -0,0 +1,19 @@ +# Copyright (c) 2018 Intel Corporation +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +std_msgs/Header header +object_msgs/ObjectInBox[] faces +people_msgs/Emotion[] emotions +people_msgs/AgeGender[] agegenders +people_msgs/HeadPose[] headposes diff --git a/people_msgs/package.xml b/people_msgs/package.xml index 668503c6..d8501e38 100644 --- a/people_msgs/package.xml +++ b/people_msgs/package.xml @@ -30,12 +30,14 @@ limitations under the License. builtin_interfaces std_msgs sensor_msgs + object_msgs geometry_msgs rosidl_default_runtime builtin_interfaces std_msgs sensor_msgs + object_msgs geometry_msgs rosidl_interface_packages diff --git a/people_msgs/srv/People.srv b/people_msgs/srv/People.srv new file mode 100644 index 00000000..100142a0 --- /dev/null +++ b/people_msgs/srv/People.srv @@ -0,0 +1,17 @@ +# Copyright (c) 2018 Intel Corporation +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +string image_path # input: an image +--- +PersonsStamped persons # output: emotion result diff --git a/sample/CMakeLists.txt b/sample/CMakeLists.txt index ebe494a9..c4e34451 100644 --- a/sample/CMakeLists.txt +++ b/sample/CMakeLists.txt @@ -176,6 +176,27 @@ ament_target_dependencies(image_object_server "OpenCV" ) +add_executable(image_people_server + src/image_people_server.cpp +) +target_link_libraries(image_people_server + dl + cpu_extension + gflags) +ament_target_dependencies(image_people_server + "rclcpp" + "rmw_implementation" + "std_msgs" + "object_msgs" + "ament_index_cpp" + "class_loader" + "dynamic_vino_lib" + "InferenceEngine" + "people_msgs" + "vino_param_lib" + "OpenCV" +) + add_executable(image_object_client src/image_object_client.cpp ) @@ -197,6 +218,27 @@ ament_target_dependencies(image_object_client "OpenCV" ) +add_executable(image_people_client + src/image_people_client.cpp +) +target_link_libraries(image_people_client + dl + cpu_extension + gflags) +ament_target_dependencies(image_people_client + "rclcpp" + "rmw_implementation" + "std_msgs" + "object_msgs" + "ament_index_cpp" + "class_loader" + "dynamic_vino_lib" + "InferenceEngine" + "people_msgs" + "vino_param_lib" + "OpenCV" +) + install(TARGETS vino_param_sample DESTINATION lib/${PROJECT_NAME}) @@ -206,9 +248,15 @@ install(TARGETS pipeline_with_params install(TARGETS image_object_server DESTINATION lib/${PROJECT_NAME}) +install(TARGETS image_people_server + DESTINATION lib/${PROJECT_NAME}) + install(TARGETS image_object_client DESTINATION lib/${PROJECT_NAME}) +install(TARGETS image_people_client + DESTINATION lib/${PROJECT_NAME}) + # Install param files. install(DIRECTORY param diff --git a/sample/launch/image_people_server.launch.py b/sample/launch/image_people_server.launch.py new file mode 100644 index 00000000..c0a4ee57 --- /dev/null +++ b/sample/launch/image_people_server.launch.py @@ -0,0 +1,33 @@ +# Copyright 2018 Open Source Robotics Foundation, Inc. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +"""Launch face detection and rviz.""" + +import os + +from ament_index_python.packages import get_package_share_directory +from launch import LaunchDescription +import launch_ros.actions + + +def generate_launch_description(): + default_yaml = os.path.join(get_package_share_directory('dynamic_vino_sample'), 'param', + 'image_people_server.yaml') + return LaunchDescription([ + # Openvino detection + launch_ros.actions.Node( + package='dynamic_vino_sample', node_executable='image_people_server', + arguments=['-config', default_yaml], + output='screen'), + ]) diff --git a/sample/param/image_object_server_oss.yaml b/sample/param/image_object_server_oss.yaml index e107b415..53ff02f2 100644 --- a/sample/param/image_object_server_oss.yaml +++ b/sample/param/image_object_server_oss.yaml @@ -9,12 +9,12 @@ Pipelines: batch: 16 confidence_threshold: 0.5 enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame - outputs: [RosService] + outputs: [RosService, RViz] connects: - left: Image right: [ObjectDetection] - left: ObjectDetection - right: [RosService] + right: [RosService, RViz] input_path: "/home/intel/Pictures/car.png" Common: diff --git a/sample/param/image_people_server.yaml b/sample/param/image_people_server.yaml index 96ecbb55..5b9b49c4 100644 --- a/sample/param/image_people_server.yaml +++ b/sample/param/image_people_server.yaml @@ -24,18 +24,18 @@ Pipelines: engine: CPU label: to/be/set/xxx.labels batch: 16 - outputs: [ImageWindow, RosTopic, RViz] + outputs: [RosService, RViz] connects: - left: Image right: [FaceDetection] - left: FaceDetection - right: [AgeGenderRecognition, EmotionRecognition, HeadPoseEstimation, ImageWindow, RosTopic, RViz] + right: [AgeGenderRecognition, EmotionRecognition, HeadPoseEstimation, RosService, RViz] - left: AgeGenderRecognition - right: [ImageWindow, RosTopic, RViz] + right: [RosService, RViz] - left: EmotionRecognition - right: [ImageWindow, RosTopic, RViz] + right: [RosService, RViz] - left: HeadPoseEstimation - right: [ImageWindow, RosTopic, RViz] - input_path: "/home/intel/Pictures/timg.jpeg" + right: [RosService, RViz] + input_path: "~/Pictures/face.jpeg" Common: diff --git a/sample/param/image_people_server_oss.yaml b/sample/param/image_people_server_oss.yaml new file mode 100644 index 00000000..9107b2e7 --- /dev/null +++ b/sample/param/image_people_server_oss.yaml @@ -0,0 +1,40 @@ +Pipelines: +- name: people + inputs: [Image] + infers: + - name: FaceDetection + model: /opt/openvino_toolkit/open_model_zoo/model_downloader/Transportation/object_detection/face/pruned_mobilenet_reduced_ssd_shared_weights/dldt/face-detection-adas-0001.xml + engine: CPU + label: /opt/intel/computer_vision_sdk/deployment_tools/intel_models/face-detection-adas-0001/FP32/face-detection-adas-0001.labels + batch: 16 + - name: AgeGenderRecognition + model: /opt/openvino_toolkit/open_model_zoo/model_downloader/Retail/object_attributes/age_gender/dldt/age-gender-recognition-retail-0013.xml + engine: CPU + label: to/be/set/xxx.labels + batch: 16 + - name: EmotionRecognition + model: /opt/openvino_toolkit/open_model_zoo/model_downloader/Retail/object_attributes/emotions_recognition/0003/dldt/emotions-recognition-retail-0003.xml + engine: CPU + label: /opt/intel/computer_vision_sdk/deployment_tools/intel_models/emotions-recognition-retail-0003/FP32/emotions-recognition-retail-0003.labels + batch: 16 + - name: HeadPoseEstimation + model: /opt/openvino_toolkit/open_model_zoo/model_downloader/Transportation/object_attributes/headpose/vanilla_cnn/dldt/head-pose-estimation-adas-0001.xml + engine: CPU + label: to/be/set/xxx.labels + batch: 16 + outputs: [RosService, RViz] + confidence_threshold: 0.2 + connects: + - left: Image + right: [FaceDetection] + - left: FaceDetection + right: [AgeGenderRecognition, EmotionRecognition, HeadPoseEstimation, RosService, RViz] + - left: AgeGenderRecognition + right: [RosService, RViz] + - left: EmotionRecognition + right: [RosService, RViz] + - left: HeadPoseEstimation + right: [RosService, RViz] + input_path: "~/Pictures/face.jpeg" + +Common: diff --git a/sample/src/image_object_client.cpp b/sample/src/image_object_client.cpp index e97ab81a..d7fd3a01 100644 --- a/sample/src/image_object_client.cpp +++ b/sample/src/image_object_client.cpp @@ -25,7 +25,7 @@ int main(int argc, char ** argv) { rclcpp::init(argc, argv); - auto node = rclcpp::Node::make_shared("service_example"); + auto node = rclcpp::Node::make_shared("service_example_for_object"); if (argc != 2) { RCLCPP_INFO(node->get_logger(), "Usage: ros2 run dynamic_vino_sample image_object_client" ""); @@ -33,7 +33,7 @@ int main(int argc, char ** argv) } std::string image_path = argv[1]; - auto client = node->create_client("/detect_object"); + auto client = node->create_client("/openvino_toolkit/service"); auto request = std::make_shared(); request->image_path = image_path; diff --git a/sample/src/image_object_server.cpp b/sample/src/image_object_server.cpp index 2ea5fa7b..e6ab0c42 100644 --- a/sample/src/image_object_server.cpp +++ b/sample/src/image_object_server.cpp @@ -53,7 +53,7 @@ std::string getConfigPath(int argc, char * argv[]) std::string prefix_path; ament_index_cpp::get_resource("packages", "dynamic_vino_sample", content, &prefix_path); // slog::info << "prefix_path=" << prefix_path << slog::endl; - return prefix_path + "/share/dynamic_vino_sample/param/image_object_server.yaml"; + return prefix_path + "/share/dynamic_vino_sample/param/image_object_server_oss.yaml"; } int main(int argc, char ** argv) @@ -63,7 +63,8 @@ int main(int argc, char ** argv) std::string config_path = getConfigPath(argc, argv); try { - auto node = std::make_shared("frame_processing_server", + std::string service_name = "frame_processing_server"; + auto node = std::make_shared>(service_name, config_path); rclcpp::spin(node); } catch (...) { diff --git a/sample/src/image_people_client.cpp b/sample/src/image_people_client.cpp index 604f37a3..701d2c31 100644 --- a/sample/src/image_people_client.cpp +++ b/sample/src/image_people_client.cpp @@ -14,34 +14,31 @@ #include #include +#include #include #include #include +#include #include "dynamic_vino_lib/services/frame_processing_server.hpp" +#include +#include int main(int argc, char ** argv) { rclcpp::init(argc, argv); - std::cout << "object client" << std::endl; - auto node = rclcpp::Node::make_shared("service_example"); - - std::string image_path = "/home/intel/Pictures/timg.jpeg"; - - std::cout << "******0000" << std::endl; - - auto client = node->create_client("/detect_face"); - std::cout << "******face client created" << std::endl; - auto request = std::make_shared(); - std::cout << "******face request created" << std::endl; + auto node = rclcpp::Node::make_shared("service_example_for_face"); + if (argc != 2) { + RCLCPP_INFO(node->get_logger(), "Usage: ros2 run dynamic_vino_sample image_object_client" + ""); + return -1; + } - auto client = node->create_client("/detect_face"); - std::cout << "******face client created" << std::endl; - auto request = std::make_shared(); - std::cout << "******face request created" << std::endl; + std::string image_path = argv[1]; - // request->image_path = argv[1]; + auto client = node->create_client("/openvino_toolkit/service"); + auto request = std::make_shared(); request->image_path = image_path; while (!client->wait_for_service(std::chrono::seconds(1))) { @@ -54,15 +51,33 @@ int main(int argc, char ** argv) auto result = client->async_send_request(request); - std::cout << "******result got" << std::endl; - if (rclcpp::spin_until_future_complete(node, result) == rclcpp::executor::FutureReturnCode::SUCCESS) { - auto srv = result.get(); + + auto people = result.get(); - std::cout << "******srv got" << std::endl; - - std::cout << "***********" << srv->objects.inference_time_ms << std::endl; + if(people->persons.emotions.size() == 0 && people->persons.agegenders.size() == 0 && + people->persons.headposes.size() == 0) + { + RCLCPP_INFO(node->get_logger(), "Get response, but no any person found."); + return 0; + } + RCLCPP_INFO(node->get_logger(), "Found persons..."); + std::cout << "Emotions:"; + for(auto e : people->persons.emotions) + { + std::cout << e.emotion.c_str() << " "; + } + std::cout << std::endl; + + std::cout << "AgeGender:"; + for(auto a : people->persons.agegenders) + { + std::cout << a.age << "," << a.gender.c_str() << " "; + } + std::cout << std::endl; + } else { + RCLCPP_WARN(node->get_logger(), "NO response received!!"); } } diff --git a/sample/src/image_people_server.cpp b/sample/src/image_people_server.cpp new file mode 100644 index 00000000..ef1ccf3f --- /dev/null +++ b/sample/src/image_people_server.cpp @@ -0,0 +1,75 @@ +// Copyright (c) 2018 Intel Corporation +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include +#include +#include +#include +#include + +#include "dynamic_vino_lib/pipeline_manager.hpp" +#include "dynamic_vino_lib/services/frame_processing_server.hpp" +#include "dynamic_vino_lib/pipeline.hpp" +#include "dynamic_vino_lib/slog.hpp" +#include "dynamic_vino_lib/inputs/base_input.hpp" +#include "dynamic_vino_lib/inputs/image_input.hpp" +#include "gflags/gflags.h" +#include "inference_engine.hpp" +#include "extension/ext_list.hpp" +#include "utility.hpp" +#include + +bool parseAndCheckCommandLine(int argc, char ** argv) +{ + // -----Parsing and validation of input args--------------------------- + gflags::ParseCommandLineNonHelpFlags(&argc, &argv, true); + if (FLAGS_h) { + showUsageForParam(); + return false; + } + + return true; +} + + +std::string getConfigPath(int argc, char * argv[]) +{ + if (parseAndCheckCommandLine(argc, argv)) { + if (!FLAGS_config.empty()) { + return FLAGS_config; + } + } + + std::string content; + std::string prefix_path; + ament_index_cpp::get_resource("packages", "dynamic_vino_sample", content, &prefix_path); + // slog::info << "prefix_path=" << prefix_path << slog::endl; + return prefix_path + "/share/dynamic_vino_sample/param/image_people_server_oss.yaml"; +} + +int main(int argc, char ** argv) +{ + rclcpp::init(argc, argv); + + std::string config_path = getConfigPath(argc, argv); + + try { + auto node = std::make_shared>("service_people_detection", + config_path); + rclcpp::spin(node); + } catch (...) { + std::cout << "[ERROR] [service_people_detection]: " << + "exception caught" << std::endl; + } +} diff --git a/sample/src/image_server.cpp b/sample/src/image_server.cpp index b1f7a346..5bb91c88 100644 --- a/sample/src/image_server.cpp +++ b/sample/src/image_server.cpp @@ -44,7 +44,8 @@ int main(int argc, char ** argv) std::cout << "***config path is " << config_path << std::endl; try { - auto node = std::make_shared("frame_processing_server", + std::string service_name = "frame_processing_server"; + auto node = std::make_shared>(service_name, config_path); rclcpp::spin(node); } catch (...) { From dc6313b2df20c1a6b448d712146a91abf9d6b319 Mon Sep 17 00:00:00 2001 From: Rachel Date: Thu, 7 Mar 2019 00:33:52 +0800 Subject: [PATCH 13/28] reformat code style --- .../include/dynamic_vino_lib/common.hpp | 2 +- .../dynamic_vino_lib/inputs/base_input.hpp | 3 +- .../dynamic_vino_lib/inputs/image_input.hpp | 2 +- .../dynamic_vino_lib/outputs/base_output.hpp | 3 -- .../outputs/ros_service_output.hpp | 1 - .../outputs/ros_topic_output.hpp | 2 +- .../services/frame_processing_server.hpp | 14 +++---- dynamic_vino_lib/src/inputs/image_input.cpp | 6 +-- .../src/inputs/realsense_camera.cpp | 1 - .../src/inputs/realsense_camera_topic.cpp | 1 - .../src/outputs/ros_service_output.cpp | 33 ++++++---------- .../src/services/frame_processing_server.cpp | 38 ++++++++----------- sample/src/image_object_server.cpp | 4 +- sample/src/image_people_client.cpp | 14 +++---- sample/src/image_people_server.cpp | 6 +-- sample/src/image_server.cpp | 4 +- vino_param_lib/src/param_manager.cpp | 2 +- 17 files changed, 54 insertions(+), 82 deletions(-) diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/common.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/common.hpp index fd0de215..c553acb7 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/common.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/common.hpp @@ -209,7 +209,7 @@ static UNUSED std::ostream & operator<<(std::ostream & os, const PluginVersion & inline void printPluginVersion(InferenceEngine::InferenceEnginePluginPtr ptr, std::ostream & stream) { - const PluginVersion * pluginVersion; + const PluginVersion * pluginVersion = nullptr; ptr->GetVersion((const InferenceEngine::Version * &)pluginVersion); stream << pluginVersion << std::endl; } diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/inputs/base_input.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/inputs/base_input.hpp index 820abcbc..f94e1337 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/inputs/base_input.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/inputs/base_input.hpp @@ -66,8 +66,7 @@ class BaseInputDevice : public Ros2Handler { return true; } - - virtual void config(const Config&){}; + virtual void config(const Config &) {} virtual ~BaseInputDevice() = default; /** * @brief Get the width of the frame read from input device. diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/inputs/image_input.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/inputs/image_input.hpp index 25d8f07b..662e128b 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/inputs/image_input.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/inputs/image_input.hpp @@ -63,7 +63,7 @@ class Image : public BaseInputDevice */ bool read(cv::Mat * frame) override; - void config(const Config&) override; + void config(const Config &) override; private: cv::Mat image_; diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/outputs/base_output.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/outputs/base_output.hpp index e440cddb..723ba72f 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/outputs/base_output.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/outputs/base_output.hpp @@ -120,7 +120,6 @@ class BaseOutput int getFPS() const; void setPipeline(Pipeline * const pipeline); - virtual void setServiceResponse( std::shared_ptr response) {} virtual void setServiceResponseForFace( @@ -133,10 +132,8 @@ class BaseOutput std::shared_ptr response) {} virtual void setServiceResponse( std::shared_ptr response) {} - Pipeline * getPipeline() const; cv::Mat getFrame() const; - virtual void clearData() {} protected: diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/outputs/ros_service_output.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/outputs/ros_service_output.hpp index 602dc4ee..345b47b9 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/outputs/ros_service_output.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/outputs/ros_service_output.hpp @@ -66,7 +66,6 @@ class RosServiceOutput : public RosTopicOutput private: const std::string service_name_; - }; } // namespace Outputs #endif // DYNAMIC_VINO_LIB__OUTPUTS__ROS_SERVICE_OUTPUT_HPP_ diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/outputs/ros_topic_output.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/outputs/ros_topic_output.hpp index 45a24a34..3d219c3a 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/outputs/ros_topic_output.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/outputs/ros_topic_output.hpp @@ -62,7 +62,7 @@ class RosTopicOutput : public BaseOutput * @brief Publish all the detected infomations generated by the accept * functions with ros topic. */ - virtual void handleOutput() override; + void handleOutput() override; /** * @brief Generate ros topic infomation according to * the person reidentification result. diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/services/frame_processing_server.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/services/frame_processing_server.hpp index 41c66783..3b432a21 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/services/frame_processing_server.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/services/frame_processing_server.hpp @@ -36,24 +36,24 @@ namespace vino_service { -template +template class FrameProcessingServer : public rclcpp::Node { public: - explicit FrameProcessingServer(const std::string & service_name, + explicit FrameProcessingServer( + const std::string & service_name, const std::string & config_path); - void initService(const std::string & config_path); private: - void cbService(const std::shared_ptr< typename T::Request> request, std::shared_ptr response); + void cbService( + const std::shared_ptr request, + std::shared_ptr response); - //rclcpp::Service::SharedPtr service_; + // rclcpp::Service::SharedPtr service_; std::shared_ptr> service_; - std::string service_name_; std::string config_path_; - }; } // namespace vino_service #endif // DYNAMIC_VINO_LIB__SERVICES__FRAME_PROCESSING_SERVER_HPP_ diff --git a/dynamic_vino_lib/src/inputs/image_input.cpp b/dynamic_vino_lib/src/inputs/image_input.cpp index 3f496bfd..5a295cac 100644 --- a/dynamic_vino_lib/src/inputs/image_input.cpp +++ b/dynamic_vino_lib/src/inputs/image_input.cpp @@ -51,10 +51,10 @@ bool Input::Image::read(cv::Mat * frame) void Input::Image::config(const Input::Config & config) { - if(config.path != "") - { + if (config.path != "") { file_.assign(config.path); initialize(); - slog::info << "Image Input device was reinitialized with new file:" << config.path.c_str() << slog::endl; + slog::info << "Image Input device was reinitialized with new file:" << + config.path.c_str() << slog::endl; } } diff --git a/dynamic_vino_lib/src/inputs/realsense_camera.cpp b/dynamic_vino_lib/src/inputs/realsense_camera.cpp index 81ad9110..f0bd7aa6 100644 --- a/dynamic_vino_lib/src/inputs/realsense_camera.cpp +++ b/dynamic_vino_lib/src/inputs/realsense_camera.cpp @@ -91,4 +91,3 @@ bool Input::RealSenseCamera::read(cv::Mat * frame) .copyTo(*frame); return true; } - diff --git a/dynamic_vino_lib/src/inputs/realsense_camera_topic.cpp b/dynamic_vino_lib/src/inputs/realsense_camera_topic.cpp index 1dfac2a1..93a64857 100644 --- a/dynamic_vino_lib/src/inputs/realsense_camera_topic.cpp +++ b/dynamic_vino_lib/src/inputs/realsense_camera_topic.cpp @@ -62,4 +62,3 @@ bool Input::RealSenseCameraTopic::read(cv::Mat * frame) return true; } - diff --git a/dynamic_vino_lib/src/outputs/ros_service_output.cpp b/dynamic_vino_lib/src/outputs/ros_service_output.cpp index 2cf248fe..736f76a3 100644 --- a/dynamic_vino_lib/src/outputs/ros_service_output.cpp +++ b/dynamic_vino_lib/src/outputs/ros_service_output.cpp @@ -29,11 +29,9 @@ void Outputs::RosServiceOutput::setServiceResponse( std::shared_ptr response) { - if(detected_objects_topic_ != nullptr && detected_objects_topic_->objects_vector.size()>0) - { + if (detected_objects_topic_ != nullptr && detected_objects_topic_->objects_vector.size() > 0) { response->objects.objects_vector = detected_objects_topic_->objects_vector; - } else if(faces_topic_ != nullptr && faces_topic_->objects_vector.size()>0) - { + } else if (faces_topic_ != nullptr && faces_topic_->objects_vector.size() > 0) { response->objects.objects_vector = faces_topic_->objects_vector; } } @@ -41,8 +39,7 @@ void Outputs::RosServiceOutput::setServiceResponse( void Outputs::RosServiceOutput::setResponseForFace( std::shared_ptr response) { - if(faces_topic_ != nullptr && faces_topic_->objects_vector.size()>0) - { + if (faces_topic_ != nullptr && faces_topic_->objects_vector.size() > 0) { response->objects.objects_vector = faces_topic_->objects_vector; } } @@ -50,8 +47,7 @@ void Outputs::RosServiceOutput::setResponseForFace( void Outputs::RosServiceOutput::setServiceResponse( std::shared_ptr response) { - if(age_gender_topic_ != nullptr) - { + if (age_gender_topic_ != nullptr) { response->age_gender.objects = age_gender_topic_->objects; } } @@ -59,8 +55,7 @@ void Outputs::RosServiceOutput::setServiceResponse( void Outputs::RosServiceOutput::setServiceResponse( std::shared_ptr response) { - if(emotions_topic_ != nullptr) - { + if (emotions_topic_ != nullptr) { response->emotion.emotions = emotions_topic_->emotions; } } @@ -68,8 +63,7 @@ void Outputs::RosServiceOutput::setServiceResponse( void Outputs::RosServiceOutput::setServiceResponse( std::shared_ptr response) { - if(headpose_topic_ != nullptr) - { + if (headpose_topic_ != nullptr) { response->headpose.headposes = headpose_topic_->headposes; } } @@ -78,27 +72,22 @@ void Outputs::RosServiceOutput::setServiceResponse( std::shared_ptr response) { slog::info << "in People::Response ..."; - if(faces_topic_ != nullptr) - { + if (faces_topic_ != nullptr) { slog::info << "[FACES],"; response->persons.faces = faces_topic_->objects_vector; - } else if(detected_objects_topic_ != nullptr) - { + } else if (detected_objects_topic_ != nullptr) { slog::info << "[FACES(objects)],"; response->persons.faces = detected_objects_topic_->objects_vector; } - if(age_gender_topic_ != nullptr) - { + if (age_gender_topic_ != nullptr) { slog::info << "[AGE_GENDER],"; response->persons.agegenders = age_gender_topic_->objects; } - if(emotions_topic_ != nullptr) - { + if (emotions_topic_ != nullptr) { slog::info << "[EMOTION],"; response->persons.emotions = emotions_topic_->emotions; } - if(headpose_topic_ != nullptr) - { + if (headpose_topic_ != nullptr) { slog::info << "[HEADPOSE],"; response->persons.headposes = headpose_topic_->headposes; } diff --git a/dynamic_vino_lib/src/services/frame_processing_server.cpp b/dynamic_vino_lib/src/services/frame_processing_server.cpp index ce13b36f..da3bab1f 100644 --- a/dynamic_vino_lib/src/services/frame_processing_server.cpp +++ b/dynamic_vino_lib/src/services/frame_processing_server.cpp @@ -13,6 +13,8 @@ // limitations under the License. #include "dynamic_vino_lib/services/frame_processing_server.hpp" +#include +#include #include #include @@ -28,26 +30,23 @@ #include "dynamic_vino_lib/inputs/base_input.hpp" #include "dynamic_vino_lib/inputs/image_input.hpp" #include "dynamic_vino_lib/slog.hpp" -#include -#include - namespace vino_service { -template +template FrameProcessingServer::FrameProcessingServer( - const std::string & service_name -, const std::string & config_path) -: Node("node_with_service") -, service_name_(service_name) -, config_path_(config_path) + const std::string & service_name, + const std::string & config_path) +: Node("node_with_service"), + service_name_(service_name), + config_path_(config_path) { initService(config_path); } -template +template void FrameProcessingServer::initService( - const std::string & config_path) + const std::string & config_path) { Params::ParamManager::getInstance().parse(config_path); Params::ParamManager::getInstance().print(); @@ -63,8 +62,8 @@ void FrameProcessingServer::initService( } service_ = create_service("/openvino_toolkit/service", - std::bind(&FrameProcessingServer::cbService, this, - std::placeholders::_1, std::placeholders::_2)); + std::bind(&FrameProcessingServer::cbService, this, + std::placeholders::_1, std::placeholders::_2)); } template @@ -74,8 +73,7 @@ void FrameProcessingServer::cbService( { std::map pipelines_ = PipelineManager::getInstance().getPipelines(); - for (auto it = pipelines_.begin(); it != pipelines_.end(); ++it) - { + for (auto it = pipelines_.begin(); it != pipelines_.end(); ++it) { PipelineManager::PipelineData & p = pipelines_[it->second.params.name.c_str()]; auto input = p.pipeline->getInputDevice(); Input::Config config; @@ -84,18 +82,14 @@ void FrameProcessingServer::cbService( p.pipeline->runOnce(); auto output_handle = p.pipeline->getOutputHandle(); - for (auto & pair : output_handle) - { - if (!pair.first.compare(kOutputTpye_RosService)) - { - //slog::info << "[FrameProcessingServer] Handling Output:" << pair.first.c_str() << slog::endl; + for (auto & pair : output_handle) { + if (!pair.first.compare(kOutputTpye_RosService)) { pair.second->setServiceResponse(response); pair.second->clearData(); - return; //TODO, return directly, suppose only 1 pipeline dealing with 1 request. + return; // TODO(weizhi) , return directly, suppose only 1 pipeline dealing with 1 request. } } } - slog::info << "[FrameProcessingServer] Callback finished!" << slog::endl; } diff --git a/sample/src/image_object_server.cpp b/sample/src/image_object_server.cpp index e6ab0c42..ff0fe404 100644 --- a/sample/src/image_object_server.cpp +++ b/sample/src/image_object_server.cpp @@ -64,8 +64,8 @@ int main(int argc, char ** argv) try { std::string service_name = "frame_processing_server"; - auto node = std::make_shared>(service_name, - config_path); + auto node = std::make_shared>(service_name, config_path); rclcpp::spin(node); } catch (...) { std::cout << "[ERROR] [frame_processing_server]: " << diff --git a/sample/src/image_people_client.cpp b/sample/src/image_people_client.cpp index 701d2c31..7c2b1c4a 100644 --- a/sample/src/image_people_client.cpp +++ b/sample/src/image_people_client.cpp @@ -12,6 +12,8 @@ // See the License for the specific language governing permissions and // limitations under the License. +#include +#include #include #include #include @@ -21,8 +23,6 @@ #include #include "dynamic_vino_lib/services/frame_processing_server.hpp" -#include -#include int main(int argc, char ** argv) { @@ -54,10 +54,9 @@ int main(int argc, char ** argv) if (rclcpp::spin_until_future_complete(node, result) == rclcpp::executor::FutureReturnCode::SUCCESS) { - auto people = result.get(); - if(people->persons.emotions.size() == 0 && people->persons.agegenders.size() == 0 && + if (people->persons.emotions.size() == 0 && people->persons.agegenders.size() == 0 && people->persons.headposes.size() == 0) { RCLCPP_INFO(node->get_logger(), "Get response, but no any person found."); @@ -65,15 +64,12 @@ int main(int argc, char ** argv) } RCLCPP_INFO(node->get_logger(), "Found persons..."); std::cout << "Emotions:"; - for(auto e : people->persons.emotions) - { + for (auto e : people->persons.emotions) { std::cout << e.emotion.c_str() << " "; } std::cout << std::endl; - std::cout << "AgeGender:"; - for(auto a : people->persons.agegenders) - { + for (auto a : people->persons.agegenders) { std::cout << a.age << "," << a.gender.c_str() << " "; } std::cout << std::endl; diff --git a/sample/src/image_people_server.cpp b/sample/src/image_people_server.cpp index ef1ccf3f..b8950b73 100644 --- a/sample/src/image_people_server.cpp +++ b/sample/src/image_people_server.cpp @@ -12,6 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. +#include #include #include #include @@ -28,7 +29,6 @@ #include "inference_engine.hpp" #include "extension/ext_list.hpp" #include "utility.hpp" -#include bool parseAndCheckCommandLine(int argc, char ** argv) { @@ -65,8 +65,8 @@ int main(int argc, char ** argv) std::string config_path = getConfigPath(argc, argv); try { - auto node = std::make_shared>("service_people_detection", - config_path); + auto node = std::make_shared>("service_people_detection", config_path); rclcpp::spin(node); } catch (...) { std::cout << "[ERROR] [service_people_detection]: " << diff --git a/sample/src/image_server.cpp b/sample/src/image_server.cpp index 5bb91c88..9a682953 100644 --- a/sample/src/image_server.cpp +++ b/sample/src/image_server.cpp @@ -45,8 +45,8 @@ int main(int argc, char ** argv) try { std::string service_name = "frame_processing_server"; - auto node = std::make_shared>(service_name, - config_path); + auto node = std::make_shared>(service_name, config_path); rclcpp::spin(node); } catch (...) { std::cout << "[ERROR] [frame_processing_server]: " << diff --git a/vino_param_lib/src/param_manager.cpp b/vino_param_lib/src/param_manager.cpp index fe586544..36cc0ade 100644 --- a/vino_param_lib/src/param_manager.cpp +++ b/vino_param_lib/src/param_manager.cpp @@ -166,7 +166,7 @@ void ParamManager::print() const slog::info << "\t\tLabel: " << infer.label << slog::endl; slog::info << "\t\tBatch: " << infer.batch << slog::endl; slog::info << "\t\tConfidence_threshold: " << infer.confidence_threshold << slog::endl; - slog::info << "\t\tEnable_roi_constraint: " << infer.enable_roi_constraint < Date: Thu, 7 Mar 2019 00:34:22 +0800 Subject: [PATCH 14/28] add face detection service launch --- .../launch/image_people_server_oss.launch.py | 33 +++++++++++++++++++ 1 file changed, 33 insertions(+) create mode 100644 sample/launch/image_people_server_oss.launch.py diff --git a/sample/launch/image_people_server_oss.launch.py b/sample/launch/image_people_server_oss.launch.py new file mode 100644 index 00000000..2106afd7 --- /dev/null +++ b/sample/launch/image_people_server_oss.launch.py @@ -0,0 +1,33 @@ +# Copyright 2018 Open Source Robotics Foundation, Inc. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +"""Launch face detection and rviz.""" + +import os + +from ament_index_python.packages import get_package_share_directory +from launch import LaunchDescription +import launch_ros.actions + + +def generate_launch_description(): + default_yaml = os.path.join(get_package_share_directory('dynamic_vino_sample'), 'param', + 'image_people_server_oss.yaml') + return LaunchDescription([ + # Openvino detection + launch_ros.actions.Node( + package='dynamic_vino_sample', node_executable='image_people_server', + arguments=['-config', default_yaml], + output='screen'), + ]) From c6deadaa500abcb9f7c9faed3f117db3fc43dbb0 Mon Sep 17 00:00:00 2001 From: Rachel Date: Thu, 7 Mar 2019 18:50:39 +0800 Subject: [PATCH 15/28] modify readme and script to support R5 --- doc/BINARY_VERSION_README.md | 8 ++++---- doc/OPEN_SOURCE_CODE_README.md | 10 +++++----- script/environment_setup.sh | 13 +++++++++---- script/environment_setup_binary.sh | 15 ++++++++++----- 4 files changed, 28 insertions(+), 18 deletions(-) diff --git a/doc/BINARY_VERSION_README.md b/doc/BINARY_VERSION_README.md index c9d8dad1..4ba4dd5d 100644 --- a/doc/BINARY_VERSION_README.md +++ b/doc/BINARY_VERSION_README.md @@ -15,11 +15,11 @@ This project is a ROS2 wrapper for CV API of [OpenVINO™](https://software.inte * Demo application to show above detection and recognitions ## 2. Prerequisite -- An x86_64 computer running Ubuntu 16.04. Below processors are supported: +- An x86_64 computer running Ubuntu 18.04. Below processors are supported: * 6th-8th Generation Intel® Core™ * Intel® Xeon® v5 family * Intel® Xeon® v6 family -- ROS2 [Bouncy](https://github.com/ros2/ros2/wiki) +- ROS2 [Crystal](https://github.com/ros2/ros2/wiki) - [OpenVINO™ Toolkit](https://software.intel.com/en-us/openvino-toolkit) - RGB Camera, e.g. RealSense D400 Series or standard USB camera or Video/Image File - Graphics are required only if you use a GPU. The official system requirements for GPU are: @@ -38,7 +38,7 @@ This project is a ROS2 wrapper for CV API of [OpenVINO™](https://software.inte ./environment_setup_binary.sh ``` **Note**:You can also choose to follow the steps below to build the environment step by step. -* Install ROS2 [Bouncy](https://github.com/ros2/ros2/wiki) ([guide](https://github.com/ros2/ros2/wiki/Linux-Development-Setup))
+* Install ROS2 [Crystal](https://github.com/ros2/ros2/wiki) ([guide](https://index.ros.org/doc/ros2/Installation/Linux-Development-Setup/))
* Install [OpenVINO™ Toolkit](https://software.intel.com/en-us/openvino-toolkit) ([guide](https://software.intel.com/en-us/articles/OpenVINO-Install-Linux))
**Note**: Please use *root privileges* to run the installer when installing the core components. * Install OpenCL Driver for GPU @@ -206,6 +206,6 @@ This project is a ROS2 wrapper for CV API of [OpenVINO™](https://software.inte # or E: [ncAPI] [ 0] ncDeviceCreate:324 global mutex initialization failed ``` - > solution - Please reboot while connecting Intel® Neural Compute Stick 2. + > solution - Please refer to the [guide](https://software.intel.com/en-us/neural-compute-stick/get-started) to set up the environment. diff --git a/doc/OPEN_SOURCE_CODE_README.md b/doc/OPEN_SOURCE_CODE_README.md index 13bfaf05..f9f7465c 100644 --- a/doc/OPEN_SOURCE_CODE_README.md +++ b/doc/OPEN_SOURCE_CODE_README.md @@ -15,11 +15,11 @@ This project is a ROS2 wrapper for CV API of [OpenVINO™](https://software.inte * Demo application to show above detection and recognitions ## 2. Prerequisite -- An x86_64 computer running Ubuntu 16.04 and Ubuntu 18.04. Below processors are supported: +- An x86_64 computer running Ubuntu 18.04. Below processors are supported: * 6th-8th Generation Intel® Core™ * Intel® Xeon® v5 family * Intel® Xeon® v6 family -- ROS2 [Bouncy](https://github.com/ros2/ros2/wiki) +- ROS2 [Crystal](https://github.com/ros2/ros2/wiki) - OpenVINO™ Toolkit Open Source
* The [Deep Learning Deployment Toolkit](https://github.com/opencv/dldt) that helps to enable fast, heterogeneous deep learning inferencing for Intel® processors (CPU and GPU/Intel® Processor Graphics), and supports more than 100 public and custom models.
@@ -41,7 +41,7 @@ This project is a ROS2 wrapper for CV API of [OpenVINO™](https://software.inte ./environment_setup.sh ``` **Note**:You can also choose to follow the steps below to build the environment step by step. -* Install ROS2 [Bouncy](https://github.com/ros2/ros2/wiki) ([guide](https://github.com/ros2/ros2/wiki/Linux-Development-Setup))
+* Install ROS2 [Crystal](https://github.com/ros2/ros2/wiki) ([guide](https://index.ros.org/doc/ros2/Installation/Linux-Development-Setup/))
* Install OpenVINO™ Toolkit Open Source
* Install [OpenCV 3.3 or later](https://docs.opencv.org/master/d9/df8/tutorial_root.html)([guide](https://docs.opencv.org/master/d7/d9f/tutorial_linux_install.html)) ```bash @@ -84,7 +84,7 @@ This project is a ROS2 wrapper for CV API of [OpenVINO™](https://software.inte mkdir ~/code && cd ~/code git clone https://github.com/opencv/dldt.git cd dldt/inference-engine/ - git checkout 2018_R4 + git checkout 2018_R5 git submodule init git submodule update --recursive ./install_dependencies.sh @@ -99,7 +99,7 @@ This project is a ROS2 wrapper for CV API of [OpenVINO™](https://software.inte cd ~/code git clone https://github.com/opencv/open_model_zoo.git cd open_model_zoo/demos/ - git checkout 2018_R4 + git checkout 2018_R5 mkdir build && cd build cmake -DCMAKE_BUILD_TYPE=Release /opt/openvino_toolkit/dldt/inference-engine make -j8 diff --git a/script/environment_setup.sh b/script/environment_setup.sh index b0f2b002..b5afc8e7 100755 --- a/script/environment_setup.sh +++ b/script/environment_setup.sh @@ -83,8 +83,13 @@ if [ "$ROS2_SRC" == "1" ]; then fi rosdep update - rosdep install --from-paths src --ignore-src --rosdistro crystal -y --skip-keys "console_bridge fastcdr fastrtps libopensplice67 libopensplice69 python3-lark-parser rti-connext-dds-5.3.1 urdfdom_headers" - colcon build --symlink-install --packages-ignore qt_gui_cpp rqt_gui_cpp + if [ $system_ver = "16.04" ]; then + rosdep install --from-paths src --ignore-src --rosdistro crystal -y --skip-keys "console_bridge fastcdr fastrtps libopensplice67 libopensplice69 python3-lark-parser rti-connext-dds-5.3.1 urdfdom_headers" + colcon build --symlink-install --packages-ignore qt_gui_cpp rqt_gui_cpp + else + rosdep install --from-paths src --ignore-src --rosdistro crystal -y --skip-keys "console_bridge fastcdr fastrtps libopensplice67 libopensplice69 rti-connext-dds-5.3.1 urdfdom_headers" + colcon build --symlink-install + fi fi # Setup OpenCV @@ -186,7 +191,7 @@ if [ "$DLDT" == "1" ]; then mkdir -p ~/code && cd ~/code git clone https://github.com/opencv/dldt.git cd dldt/inference-engine/ - git checkout 2018_R4 + git checkout 2018_R5 git submodule init git submodule update --recursive mkdir build && cd build @@ -205,7 +210,7 @@ if [ "$MODEL_ZOO" == "1" ]; then mkdir -p ~/code && cd ~/code git clone https://github.com/opencv/open_model_zoo.git cd open_model_zoo/demos/ - git checkout 2018_R4 + git checkout 2018_R5 mkdir build && cd build cmake -DCMAKE_BUILD_TYPE=Release /opt/openvino_toolkit/dldt/inference-engine make -j8 diff --git a/script/environment_setup_binary.sh b/script/environment_setup_binary.sh index e7866226..ef98300b 100755 --- a/script/environment_setup_binary.sh +++ b/script/environment_setup_binary.sh @@ -82,8 +82,13 @@ if [ "$ROS2_SRC" == "1" ]; then fi rosdep update - rosdep install --from-paths src --ignore-src --rosdistro crystal -y --skip-keys "console_bridge fastcdr fastrtps libopensplice67 libopensplice69 python3-lark-parser rti-connext-dds-5.3.1 urdfdom_headers" - colcon build --symlink-install --packages-ignore qt_gui_cpp rqt_gui_cpp + if [ $system_ver = "16.04" ]; then + rosdep install --from-paths src --ignore-src --rosdistro crystal -y --skip-keys "console_bridge fastcdr fastrtps libopensplice67 libopensplice69 python3-lark-parser rti-connext-dds-5.3.1 urdfdom_headers" + colcon build --symlink-install --packages-ignore qt_gui_cpp rqt_gui_cpp + else + rosdep install --from-paths src --ignore-src --rosdistro crystal -y --skip-keys "console_bridge fastcdr fastrtps libopensplice67 libopensplice69 rti-connext-dds-5.3.1 urdfdom_headers" + colcon build --symlink-install + fi fi #setup OPENVINO @@ -91,9 +96,9 @@ if [ "$OPENVINO" == "1" ]; then echo "===================Installing OpenVINO Toolkit...=======================" cd ~/Downloads - wget -c http://registrationcenter-download.intel.com/akdlm/irc_nas/14920/l_openvino_toolkit_p_2018.4.420.tgz - tar -xvf l_openvino_toolkit_p_2018.4.420.tgz - cd l_openvino_toolkit_p_2018.4.420 + wget -c http://registrationcenter-download.intel.com/akdlm/irc_nas/15078/l_openvino_toolkit_p_2018.5.455.tgz + tar -xvf l_openvino_toolkit_p_2018.5.455.tgz + cd l_openvino_toolkit_p_2018.5.455 echo $ROOT_PASSWD | sudo -S ./install_cv_sdk_dependencies.sh cp $basedir/openvino_silent.cfg . echo $ROOT_PASSWD | sudo -S ./install.sh --silent openvino_silent.cfg From 5619201b59990acfcacd5ec744fa0488e27a9c90 Mon Sep 17 00:00:00 2001 From: Houk Chen Date: Fri, 8 Mar 2019 11:42:06 +0800 Subject: [PATCH 16/28] Enable Person Attributes Detection Feature --- dynamic_vino_lib/CMakeLists.txt | 2 + .../inferences/person_attribs_detection.hpp | 120 ++++++++++++++++++ .../models/person_attribs_detection_model.hpp | 48 +++++++ .../models/person_reidentification_model.hpp | 2 +- .../dynamic_vino_lib/outputs/base_output.hpp | 7 + .../outputs/image_window_output.hpp | 9 +- .../outputs/ros_topic_output.hpp | 10 ++ .../dynamic_vino_lib/outputs/rviz_output.hpp | 6 + .../dynamic_vino_lib/pipeline_manager.hpp | 2 + .../dynamic_vino_lib/pipeline_params.hpp | 1 + .../inferences/person_attribs_detection.cpp | 109 ++++++++++++++++ .../models/person_attribs_detection_model.cpp | 62 +++++++++ .../src/outputs/image_window_output.cpp | 14 ++ .../src/outputs/ros_topic_output.cpp | 26 ++++ dynamic_vino_lib/src/outputs/rviz_output.cpp | 6 + dynamic_vino_lib/src/pipeline_manager.cpp | 22 ++++ people_msgs/CMakeLists.txt | 2 + people_msgs/msg/PersonAttribute.msg | 17 +++ people_msgs/msg/PersonAttributeStamped.msg | 17 +++ sample/param/pipeline_reidentification.yaml | 12 +- 20 files changed, 490 insertions(+), 4 deletions(-) create mode 100644 dynamic_vino_lib/include/dynamic_vino_lib/inferences/person_attribs_detection.hpp create mode 100644 dynamic_vino_lib/include/dynamic_vino_lib/models/person_attribs_detection_model.hpp create mode 100644 dynamic_vino_lib/src/inferences/person_attribs_detection.cpp create mode 100644 dynamic_vino_lib/src/models/person_attribs_detection_model.cpp create mode 100644 people_msgs/msg/PersonAttribute.msg create mode 100644 people_msgs/msg/PersonAttributeStamped.msg diff --git a/dynamic_vino_lib/CMakeLists.txt b/dynamic_vino_lib/CMakeLists.txt index 1a715677..7b7eee2a 100644 --- a/dynamic_vino_lib/CMakeLists.txt +++ b/dynamic_vino_lib/CMakeLists.txt @@ -190,6 +190,7 @@ add_library(${PROJECT_NAME} SHARED src/inferences/head_pose_detection.cpp src/inferences/object_segmentation.cpp src/inferences/person_reidentification.cpp + src/inferences/person_attribs_detection.cpp src/inputs/realsense_camera.cpp src/inputs/realsense_camera_topic.cpp src/inputs/standard_camera.cpp @@ -203,6 +204,7 @@ add_library(${PROJECT_NAME} SHARED src/models/head_pose_detection_model.cpp src/models/object_segmentation_model.cpp src/models/person_reidentification_model.cpp + src/models/person_attribs_detection_model.cpp src/outputs/image_window_output.cpp src/outputs/ros_topic_output.cpp src/outputs/rviz_output.cpp diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/inferences/person_attribs_detection.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/inferences/person_attribs_detection.hpp new file mode 100644 index 00000000..ed213e73 --- /dev/null +++ b/dynamic_vino_lib/include/dynamic_vino_lib/inferences/person_attribs_detection.hpp @@ -0,0 +1,120 @@ +// Copyright (c) 2018 Intel Corporation +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +/** + * @brief A header file with declaration for PersonAttribsDetection Class + * @file person_attribs_detection.hpp + */ +#ifndef DYNAMIC_VINO_LIB__INFERENCES__PERSON_ATTRIBS_DETECTION_HPP_ +#define DYNAMIC_VINO_LIB__INFERENCES__PERSON_ATTRIBS_DETECTION_HPP_ +#include +#include +#include +#include +#include "dynamic_vino_lib/models/person_attribs_detection_model.hpp" +#include "dynamic_vino_lib/engines/engine.hpp" +#include "dynamic_vino_lib/inferences/base_inference.hpp" +#include "inference_engine.hpp" +#include "opencv2/opencv.hpp" +// namespace +namespace dynamic_vino_lib +{ +/** + * @class PersonAttribsDetectionResult + * @brief Class for storing and processing person attributes detection result. + */ +class PersonAttribsDetectionResult : public Result +{ +public: + friend class PersonAttribsDetection; + explicit PersonAttribsDetectionResult(const cv::Rect & location); + std::string getAttributes() const + { + return attributes_; + } + bool getMaleProbability() const + { + return male_probability_; + } + +private: + float male_probability_; + std::string attributes_ = ""; +}; +/** + * @class PersonAttribsDetection + * @brief Class to load person attributes detection model and perform person attributes detection. + */ +class PersonAttribsDetection : public BaseInference +{ +public: + using Result = dynamic_vino_lib::PersonAttribsDetectionResult; + explicit PersonAttribsDetection(double); + ~PersonAttribsDetection() override; + /** + * @brief Load the person attributes detection model. + */ + void loadNetwork(std::shared_ptr); + /** + * @brief Enqueue a frame to this class. + * The frame will be buffered but not infered yet. + * @param[in] frame The frame to be enqueued. + * @param[in] input_frame_loc The location of the enqueued frame with respect + * to the frame generated by the input device. + * @return Whether this operation is successful. + */ + bool enqueue(const cv::Mat &, const cv::Rect &) override; + /** + * @brief Start inference for all buffered frames. + * @return Whether this operation is successful. + */ + bool submitRequest() override; + /** + * @brief This function will fetch the results of the previous inference and + * stores the results in a result buffer array. All buffered frames will be + * cleared. + * @return Whether the Inference object fetches a result this time + */ + bool fetchResults() override; + /** + * @brief Get the length of the buffer result array. + * @return The length of the buffer result array. + */ + const int getResultsLength() const override; + /** + * @brief Get the location of result with respect + * to the frame generated by the input device. + * @param[in] idx The index of the result. + */ + const dynamic_vino_lib::Result * getLocationResult(int idx) const override; + /** + * @brief Show the observed detection result either through image window + or ROS topic. + */ + const void observeOutput(const std::shared_ptr & output); + /** + * @brief Get the name of the Inference instance. + * @return The name of the Inference instance. + */ + const std::string getName() const override; + +private: + std::shared_ptr valid_model_; + std::vector results_; + double attribs_confidence_; + const std::vector net_attributes_ = {"is male", "hat", + "longsleeves", "longpants", "longhair", "coatjacket"}; +}; +} // namespace dynamic_vino_lib +#endif // DYNAMIC_VINO_LIB__INFERENCES__PERSON_ATTRIBS_DETECTION_HPP_ diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/models/person_attribs_detection_model.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/models/person_attribs_detection_model.hpp new file mode 100644 index 00000000..363f33bb --- /dev/null +++ b/dynamic_vino_lib/include/dynamic_vino_lib/models/person_attribs_detection_model.hpp @@ -0,0 +1,48 @@ +// Copyright (c) 2018 Intel Corporation +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +/** + * @brief A header file with declaration for PersonAttribsDetectionModel Class + * @file person_attribs_detection_model.h + */ +#ifndef DYNAMIC_VINO_LIB__MODELS__PERSON_ATTRIBS_DETECTION_MODEL_HPP_ +#define DYNAMIC_VINO_LIB__MODELS__PERSON_ATTRIBS_DETECTION_MODEL_HPP_ +#include +#include "dynamic_vino_lib/models/base_model.hpp" +namespace Models +{ +/** + * @class PersonAttribsDetectionModel + * @brief This class generates the person attributes detection model. + */ +class PersonAttribsDetectionModel : public BaseModel +{ +public: + PersonAttribsDetectionModel(const std::string &, int, int, int); + inline const std::string getInputName() {return input_;} + inline const std::string getOutputName() {return output_;} + /** + * @brief Get the name of this detection model. + * @return Name of the model. + */ + const std::string getModelName() const override; + +protected: + void checkLayerProperty(const InferenceEngine::CNNNetReader::Ptr &) override; + void setLayerProperty(InferenceEngine::CNNNetReader::Ptr) override; + std::string input_; + std::string output_; +}; +} // namespace Models +#endif // DYNAMIC_VINO_LIB__MODELS__PERSON_ATTRIBS_DETECTION_MODEL_HPP_ diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/models/person_reidentification_model.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/models/person_reidentification_model.hpp index 09c1bed7..746f25ad 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/models/person_reidentification_model.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/models/person_reidentification_model.hpp @@ -14,7 +14,7 @@ /** * @brief A header file with declaration for PersonReidentificationModel Class - * @file face_detection_model.h + * @file person_reidentification_model.h */ #ifndef DYNAMIC_VINO_LIB__MODELS__PERSON_REIDENTIFICATION_MODEL_HPP_ #define DYNAMIC_VINO_LIB__MODELS__PERSON_REIDENTIFICATION_MODEL_HPP_ diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/outputs/base_output.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/outputs/base_output.hpp index d2625777..88f69af5 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/outputs/base_output.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/outputs/base_output.hpp @@ -44,6 +44,7 @@ #include "dynamic_vino_lib/inferences/object_detection.hpp" #include "dynamic_vino_lib/inferences/object_segmentation.hpp" #include "dynamic_vino_lib/inferences/person_reidentification.hpp" +#include "dynamic_vino_lib/inferences/person_attribs_detection.hpp" #include "opencv2/opencv.hpp" class Pipeline; @@ -59,6 +60,12 @@ class BaseOutput { public: BaseOutput() = default; + /** + * @brief Generate output content according to the person reidentification result. + */ + virtual void accept(const std::vector &) + { + } /** * @brief Generate output content according to the person reidentification result. */ diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/outputs/image_window_output.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/outputs/image_window_output.hpp index fd638619..8ce703aa 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/outputs/image_window_output.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/outputs/image_window_output.hpp @@ -51,7 +51,14 @@ class ImageWindowOutput : public BaseOutput void handleOutput() override; /** * @brief Generate image window output content according to - * the object segmentation result. + * the person attributes detetection result. + * @param[in] A person attributes detection result objetc. + */ + void accept( + const std::vector &) override; + /** + * @brief Generate image window output content according to + * the person reidentification result. * @param[in] A person reidentification result objetc. */ void accept( diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/outputs/ros_topic_output.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/outputs/ros_topic_output.hpp index ecc6d454..50c27f8e 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/outputs/ros_topic_output.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/outputs/ros_topic_output.hpp @@ -33,6 +33,8 @@ #include #include #include +#include +#include #include #include @@ -63,6 +65,12 @@ class RosTopicOutput : public BaseOutput * functions with ros topic. */ void handleOutput() override; + /** + * @brief Generate ros topic infomation according to + * the person attributes detection result. + * @param[in] results a bundle of person attributes detection results. + */ + void accept(const std::vector &) override; /** * @brief Generate ros topic infomation according to * the person reidentification result. @@ -110,6 +118,8 @@ class RosTopicOutput : public BaseOutput std_msgs::msg::Header getHeader(); const std::string topic_name_; std::shared_ptr node_; + rclcpp::Publisher::SharedPtr pub_person_attribs_; + std::shared_ptr person_attribs_topic_; rclcpp::Publisher::SharedPtr pub_person_reid_; std::shared_ptr person_reid_topic_; rclcpp::Publisher::SharedPtr pub_segmented_object_; diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/outputs/rviz_output.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/outputs/rviz_output.hpp index 905033c2..4d473dd3 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/outputs/rviz_output.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/outputs/rviz_output.hpp @@ -49,6 +49,12 @@ class RvizOutput : public BaseOutput * functions with rviz. */ void handleOutput() override; + /** + * @brief Generate rviz output content according to + * the person attributes detection result. + * @param[in] A person attributes detection result objetc. + */ + void accept(const std::vector &) override; /** * @brief Generate rviz output content according to * the person reidentification result. diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/pipeline_manager.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/pipeline_manager.hpp index f8d19dbb..99803717 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/pipeline_manager.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/pipeline_manager.hpp @@ -107,6 +107,8 @@ class PipelineManager createObjectSegmentation(const Params::ParamManager::InferenceParams & infer); std::shared_ptr createPersonReidentification(const Params::ParamManager::InferenceParams & infer); + std::shared_ptr + createPersonAttribsDetection(const Params::ParamManager::InferenceParams & infer); std::map pipelines_; std::map plugins_for_devices_; }; diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/pipeline_params.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/pipeline_params.hpp index 80c13a95..e36fd809 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/pipeline_params.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/pipeline_params.hpp @@ -52,6 +52,7 @@ const char kInferTpye_HeadPoseEstimation[] = "HeadPoseEstimation"; const char kInferTpye_ObjectDetection[] = "ObjectDetection"; const char kInferTpye_ObjectSegmentation[] = "ObjectSegmentation"; const char kInferTpye_PersonReidentification[] = "PersonReidentification"; +const char kInferTpye_PersonAttribsDetection[] = "PersonAttribsDetection"; /** * @class PipelineParams diff --git a/dynamic_vino_lib/src/inferences/person_attribs_detection.cpp b/dynamic_vino_lib/src/inferences/person_attribs_detection.cpp new file mode 100644 index 00000000..6034fe55 --- /dev/null +++ b/dynamic_vino_lib/src/inferences/person_attribs_detection.cpp @@ -0,0 +1,109 @@ +// Copyright (c) 2018 Intel Corporation +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +/** + * @brief a header file with declaration of PersonAttribsDetection class and + * PersonAttribsDetectionResult class + * @file person_attribs_detection.cpp + */ +#include +#include +#include +#include "dynamic_vino_lib/inferences/person_attribs_detection.hpp" +#include "dynamic_vino_lib/outputs/base_output.hpp" +#include "dynamic_vino_lib/slog.hpp" + +// PersonAttribsDetectionResult +dynamic_vino_lib::PersonAttribsDetectionResult::PersonAttribsDetectionResult( + const cv::Rect & location) : Result(location) {} + +// PersonAttribsDetection +dynamic_vino_lib::PersonAttribsDetection::PersonAttribsDetection(double attribs_confidence) +: attribs_confidence_(attribs_confidence), dynamic_vino_lib::BaseInference() {} + +dynamic_vino_lib::PersonAttribsDetection::~PersonAttribsDetection() = default; +void dynamic_vino_lib::PersonAttribsDetection::loadNetwork( + const std::shared_ptr network) +{ + valid_model_ = network; + setMaxBatchSize(network->getMaxBatchSize()); +} + +bool dynamic_vino_lib::PersonAttribsDetection::enqueue( + const cv::Mat & frame, const cv::Rect & input_frame_loc) +{ + if (getEnqueuedNum() == 0) { + results_.clear(); + } + if (!dynamic_vino_lib::BaseInference::enqueue( + frame, input_frame_loc, 1, 0, valid_model_->getInputName())) + { + return false; + } + Result r(input_frame_loc); + results_.emplace_back(r); + return true; +} + +bool dynamic_vino_lib::PersonAttribsDetection::submitRequest() +{ + return dynamic_vino_lib::BaseInference::submitRequest(); +} + +bool dynamic_vino_lib::PersonAttribsDetection::fetchResults() +{ + bool can_fetch = dynamic_vino_lib::BaseInference::fetchResults(); + if (!can_fetch) {return false;} + bool found_result = false; + InferenceEngine::InferRequest::Ptr request = getEngine()->getRequest(); + std::string output = valid_model_->getOutputName(); + const float * output_values = request->GetBlob(output)->buffer().as(); + int net_attrib_length = net_attributes_.size(); + for (int i = 0; i < getResultsLength(); i++) { + results_[i].male_probability_ = output_values[i*net_attrib_length]; + std::string attrib = ""; + for (int j = 1; j < net_attrib_length; j++) { + attrib += (output_values[i*net_attrib_length+j] > attribs_confidence_) + ? net_attributes_[j] + ", ": ""; + } + results_[i].attributes_ = attrib; + found_result = true; + } + if (!found_result) {results_.clear();} + return true; +} + +const int dynamic_vino_lib::PersonAttribsDetection::getResultsLength() const +{ + return static_cast(results_.size()); +} + +const dynamic_vino_lib::Result * +dynamic_vino_lib::PersonAttribsDetection::getLocationResult(int idx) const +{ + return &(results_[idx]); +} + +const std::string dynamic_vino_lib::PersonAttribsDetection::getName() const +{ + return valid_model_->getModelName(); +} + +const void dynamic_vino_lib::PersonAttribsDetection::observeOutput( + const std::shared_ptr & output) +{ + if (output != nullptr) { + output->accept(results_); + } +} diff --git a/dynamic_vino_lib/src/models/person_attribs_detection_model.cpp b/dynamic_vino_lib/src/models/person_attribs_detection_model.cpp new file mode 100644 index 00000000..2f5c582f --- /dev/null +++ b/dynamic_vino_lib/src/models/person_attribs_detection_model.cpp @@ -0,0 +1,62 @@ +// Copyright (c) 2018 Intel Corporation +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +/** + * @brief a header file with declaration of PersonAttribsDetectionModel class + * @file person_attribs_detection_model.cpp + */ +#include +#include "dynamic_vino_lib/models/person_attribs_detection_model.hpp" +#include "dynamic_vino_lib/slog.hpp" +// Validated Object Detection Network +Models::PersonAttribsDetectionModel::PersonAttribsDetectionModel( + const std::string & model_loc, int input_num, int output_num, int max_batch_size) +: BaseModel(model_loc, input_num, output_num, max_batch_size) {} + +void Models::PersonAttribsDetectionModel::setLayerProperty( + InferenceEngine::CNNNetReader::Ptr net_reader) +{ + // set input property + InferenceEngine::InputsDataMap input_info_map( + net_reader->getNetwork().getInputsInfo()); + InferenceEngine::InputInfo::Ptr input_info = input_info_map.begin()->second; + input_info->setPrecision(InferenceEngine::Precision::U8); + input_info->getInputData()->setLayout(InferenceEngine::Layout::NCHW); + // set output property + InferenceEngine::OutputsDataMap output_info_map( + net_reader->getNetwork().getOutputsInfo()); + // set input and output layer name + input_ = input_info_map.begin()->first; + output_ = output_info_map.begin()->first; +} + +void Models::PersonAttribsDetectionModel::checkLayerProperty( + const InferenceEngine::CNNNetReader::Ptr & net_reader) +{ + InferenceEngine::InputsDataMap input_info_map( + net_reader->getNetwork().getInputsInfo()); + if (input_info_map.size() != 1) { + throw std::logic_error("Person Attribs topology should have only one input"); + } + InferenceEngine::OutputsDataMap output_info_map( + net_reader->getNetwork().getOutputsInfo()); + if (input_info_map.size() != 1) { + throw std::logic_error("Person Attribs Network expects networks having one output"); + } +} + +const std::string Models::PersonAttribsDetectionModel::getModelName() const +{ + return "Person Attributes Detection"; +} diff --git a/dynamic_vino_lib/src/outputs/image_window_output.cpp b/dynamic_vino_lib/src/outputs/image_window_output.cpp index 51cbb8f5..ea80eb71 100644 --- a/dynamic_vino_lib/src/outputs/image_window_output.cpp +++ b/dynamic_vino_lib/src/outputs/image_window_output.cpp @@ -61,6 +61,20 @@ unsigned Outputs::ImageWindowOutput::findOutput( return outputs_.size() - 1; } +void Outputs::ImageWindowOutput::accept( + const std::vector & results) +{ + for (unsigned i = 0; i < results.size(); i++) { + cv::Rect result_rect = results[i].getLocation(); + unsigned target_index = findOutput(result_rect); + if (results[i].getMaleProbability() < 0.5) { + outputs_[target_index].scalar = cv::Scalar(0, 0, 255); + } + outputs_[target_index].rect = result_rect; + outputs_[target_index].desc += "[" + results[i].getAttributes() + "]"; + } +} + void Outputs::ImageWindowOutput::accept( const std::vector & results) { diff --git a/dynamic_vino_lib/src/outputs/ros_topic_output.cpp b/dynamic_vino_lib/src/outputs/ros_topic_output.cpp index 1a33a97e..092e6dbd 100644 --- a/dynamic_vino_lib/src/outputs/ros_topic_output.cpp +++ b/dynamic_vino_lib/src/outputs/ros_topic_output.cpp @@ -32,6 +32,8 @@ Outputs::RosTopicOutput::RosTopicOutput() // qos.reliability = RMW_QOS_POLICY_RELIABILITY_RELIABLE; // qos.history = RMW_QOS_POLICY_HISTORY_KEEP_ALL; node_ = rclcpp::Node::make_shared("topic_publisher"); + pub_person_attribs_ = node_->create_publisher( + "/openvino_toolkit/person_attributes", 16); pub_person_reid_ = node_->create_publisher( "/openvino_toolkit/reidentified_persons", 16); pub_segmented_object_ = node_->create_publisher( @@ -53,6 +55,7 @@ Outputs::RosTopicOutput::RosTopicOutput() headpose_topic_ = nullptr; segmented_objects_topic_ = nullptr; person_reid_topic_ = nullptr; + person_attribs_topic_ = nullptr; } void Outputs::RosTopicOutput::feedFrame(const cv::Mat & frame) @@ -60,6 +63,23 @@ void Outputs::RosTopicOutput::feedFrame(const cv::Mat & frame) frame_ = frame.clone(); } +void Outputs::RosTopicOutput::accept( + const std::vector & results) +{ + person_attribs_topic_ = std::make_shared(); + people_msgs::msg::PersonAttribute person_attrib; + for (auto & r : results) { + // slog::info << ">"; + auto loc = r.getLocation(); + person_attrib.roi.x_offset = loc.x; + person_attrib.roi.y_offset = loc.y; + person_attrib.roi.width = loc.width; + person_attrib.roi.height = loc.height; + person_attrib.attribute = r.getAttributes(); + person_attribs_topic_->attributes.push_back(person_attrib); + } +} + void Outputs::RosTopicOutput::accept( const std::vector & results) { @@ -202,6 +222,12 @@ void Outputs::RosTopicOutput::accept(const std::vectorheader = header; + pub_person_attribs_->publish(person_attribs_topic_); + person_attribs_topic_ = nullptr; + } if (person_reid_topic_ != nullptr) { // slog::info << "publishing faces outputs." << slog::endl; person_reid_topic_->header = header; diff --git a/dynamic_vino_lib/src/outputs/rviz_output.cpp b/dynamic_vino_lib/src/outputs/rviz_output.cpp index b8959262..656a41ba 100644 --- a/dynamic_vino_lib/src/outputs/rviz_output.cpp +++ b/dynamic_vino_lib/src/outputs/rviz_output.cpp @@ -38,6 +38,12 @@ void Outputs::RvizOutput::feedFrame(const cv::Mat & frame) image_window_output_->feedFrame(frame); } +void Outputs::RvizOutput::accept( + const std::vector & results) +{ + image_window_output_->accept(results); +} + void Outputs::RvizOutput::accept( const std::vector & results) { diff --git a/dynamic_vino_lib/src/pipeline_manager.cpp b/dynamic_vino_lib/src/pipeline_manager.cpp index c2246301..576cf85a 100644 --- a/dynamic_vino_lib/src/pipeline_manager.cpp +++ b/dynamic_vino_lib/src/pipeline_manager.cpp @@ -30,6 +30,7 @@ #include "dynamic_vino_lib/inferences/head_pose_detection.hpp" #include "dynamic_vino_lib/inferences/object_segmentation.hpp" #include "dynamic_vino_lib/inferences/person_reidentification.hpp" +#include "dynamic_vino_lib/inferences/person_attribs_detection.hpp" #include "dynamic_vino_lib/inputs/base_input.hpp" #include "dynamic_vino_lib/inputs/image_input.hpp" #include "dynamic_vino_lib/inputs/realsense_camera.hpp" @@ -42,6 +43,7 @@ #include "dynamic_vino_lib/models/head_pose_detection_model.hpp" #include "dynamic_vino_lib/models/object_segmentation_model.hpp" #include "dynamic_vino_lib/models/person_reidentification_model.hpp" +#include "dynamic_vino_lib/models/person_attribs_detection_model.hpp" #include "dynamic_vino_lib/outputs/image_window_output.hpp" #include "dynamic_vino_lib/outputs/ros_topic_output.hpp" #include "dynamic_vino_lib/outputs/rviz_output.hpp" @@ -197,6 +199,8 @@ PipelineManager::parseInference(const Params::ParamManager::PipelineParams & par object = createObjectSegmentation(infer); } else if (infer.name == kInferTpye_PersonReidentification) { object = createPersonReidentification(infer); + } else if (infer.name == kInferTpye_PersonAttribsDetection) { + object = createPersonAttribsDetection(infer); } else { slog::err << "Invalid inference name: " << infer.name << slog::endl; } @@ -306,6 +310,24 @@ PipelineManager::createPersonReidentification( return reidentification_inference_ptr; } +std::shared_ptr +PipelineManager::createPersonAttribsDetection( + const Params::ParamManager::InferenceParams & infer) +{ + auto person_attribs_detection_model = + std::make_shared(infer.model, 1, 1, infer.batch); + person_attribs_detection_model->modelInit(); + auto person_attribs_detection_engine = std::make_shared( + plugins_for_devices_[infer.engine], person_attribs_detection_model); + auto attribs_inference_ptr = + std::make_shared(infer.confidence_threshold); + attribs_inference_ptr->loadNetwork(person_attribs_detection_model); + attribs_inference_ptr->loadEngine(person_attribs_detection_engine); + + return attribs_inference_ptr; +} + + void PipelineManager::threadPipeline(const char * name) { PipelineData & p = pipelines_[name]; diff --git a/people_msgs/CMakeLists.txt b/people_msgs/CMakeLists.txt index 2e5d06b6..e5f37a66 100644 --- a/people_msgs/CMakeLists.txt +++ b/people_msgs/CMakeLists.txt @@ -42,6 +42,8 @@ rosidl_generate_interfaces(${PROJECT_NAME} "msg/ObjectsInMasks.msg" "msg/Reidentification.msg" "msg/ReidentificationStamped.msg" + "msg/PersonAttribute.msg" + "msg/PersonAttributeStamped.msg" "srv/AgeGender.srv" "srv/Emotion.srv" "srv/HeadPose.srv" diff --git a/people_msgs/msg/PersonAttribute.msg b/people_msgs/msg/PersonAttribute.msg new file mode 100644 index 00000000..12dd2793 --- /dev/null +++ b/people_msgs/msg/PersonAttribute.msg @@ -0,0 +1,17 @@ +# Copyright (c) 2017 Intel Corporation +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# This message can represent a peron's attributes +string attribute # person attributes +sensor_msgs/RegionOfInterest roi # region of interest \ No newline at end of file diff --git a/people_msgs/msg/PersonAttributeStamped.msg b/people_msgs/msg/PersonAttributeStamped.msg new file mode 100644 index 00000000..0fb6dfcd --- /dev/null +++ b/people_msgs/msg/PersonAttributeStamped.msg @@ -0,0 +1,17 @@ +# Copyright (c) 2017 Intel Corporation +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# This message can represent identified persons' attributes +std_msgs/Header header # timestamp in header is the time the sensor captured the raw data +PersonAttribute[] attributes # ObjectInBox array \ No newline at end of file diff --git a/sample/param/pipeline_reidentification.yaml b/sample/param/pipeline_reidentification.yaml index 8d5d5dad..a1e3cfb7 100644 --- a/sample/param/pipeline_reidentification.yaml +++ b/sample/param/pipeline_reidentification.yaml @@ -15,13 +15,21 @@ Pipelines: label: to/be/set/xxx.labels batch: 1 confidence_threshold: 0.7 + - name: PersonAttribsDetection + model: /opt/intel/computer_vision_sdk/deployment_tools/intel_models/person-attributes-recognition-crossroad-0031/FP32/person-attributes-recognition-crossroad-0031.xml + engine: CPU + label: to/be/set/xxx.labels + batch: 1 + confidence_threshold: 0.5 outputs: [ImageWindow, RViz, RosTopic] connects: - left: StandardCamera right: [ObjectDetection] - left: ObjectDetection - right: [PersonReidentification] + right: [PersonReidentification, PersonAttribsDetection] - left: PersonReidentification - right: [ImageWindow, RViz, RosTopic] + right: [ImageWindow] + - left: PersonAttribsDetection + right: [ImageWindow] OpenvinoCommon: \ No newline at end of file From 0ad25781ecc3bdac9b44c5ecec3a9dc83b082fc3 Mon Sep 17 00:00:00 2001 From: Houk Chen Date: Fri, 8 Mar 2019 12:42:49 +0800 Subject: [PATCH 17/28] code reformat --- .../inferences/person_attribs_detection.hpp | 2 +- .../src/inferences/person_attribs_detection.cpp | 9 +++++---- .../src/models/person_attribs_detection_model.cpp | 4 ++-- sample/param/pipeline_reidentification.yaml | 4 ++-- 4 files changed, 10 insertions(+), 9 deletions(-) diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/inferences/person_attribs_detection.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/inferences/person_attribs_detection.hpp index ed213e73..ce67bf89 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/inferences/person_attribs_detection.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/inferences/person_attribs_detection.hpp @@ -114,7 +114,7 @@ class PersonAttribsDetection : public BaseInference std::vector results_; double attribs_confidence_; const std::vector net_attributes_ = {"is male", "hat", - "longsleeves", "longpants", "longhair", "coatjacket"}; + "longsleeves", "longpants", "longhair", "coatjacket"}; }; } // namespace dynamic_vino_lib #endif // DYNAMIC_VINO_LIB__INFERENCES__PERSON_ATTRIBS_DETECTION_HPP_ diff --git a/dynamic_vino_lib/src/inferences/person_attribs_detection.cpp b/dynamic_vino_lib/src/inferences/person_attribs_detection.cpp index 6034fe55..6bd44c36 100644 --- a/dynamic_vino_lib/src/inferences/person_attribs_detection.cpp +++ b/dynamic_vino_lib/src/inferences/person_attribs_detection.cpp @@ -26,7 +26,8 @@ // PersonAttribsDetectionResult dynamic_vino_lib::PersonAttribsDetectionResult::PersonAttribsDetectionResult( - const cv::Rect & location) : Result(location) {} + const cv::Rect & location) +: Result(location) {} // PersonAttribsDetection dynamic_vino_lib::PersonAttribsDetection::PersonAttribsDetection(double attribs_confidence) @@ -71,11 +72,11 @@ bool dynamic_vino_lib::PersonAttribsDetection::fetchResults() const float * output_values = request->GetBlob(output)->buffer().as(); int net_attrib_length = net_attributes_.size(); for (int i = 0; i < getResultsLength(); i++) { - results_[i].male_probability_ = output_values[i*net_attrib_length]; + results_[i].male_probability_ = output_values[i * net_attrib_length]; std::string attrib = ""; for (int j = 1; j < net_attrib_length; j++) { - attrib += (output_values[i*net_attrib_length+j] > attribs_confidence_) - ? net_attributes_[j] + ", ": ""; + attrib += (output_values[i * net_attrib_length + j] > attribs_confidence_) ? + net_attributes_[j] + ", " : ""; } results_[i].attributes_ = attrib; found_result = true; diff --git a/dynamic_vino_lib/src/models/person_attribs_detection_model.cpp b/dynamic_vino_lib/src/models/person_attribs_detection_model.cpp index 2f5c582f..517c69ad 100644 --- a/dynamic_vino_lib/src/models/person_attribs_detection_model.cpp +++ b/dynamic_vino_lib/src/models/person_attribs_detection_model.cpp @@ -47,12 +47,12 @@ void Models::PersonAttribsDetectionModel::checkLayerProperty( InferenceEngine::InputsDataMap input_info_map( net_reader->getNetwork().getInputsInfo()); if (input_info_map.size() != 1) { - throw std::logic_error("Person Attribs topology should have only one input"); + throw std::logic_error("Person Attribs topology should have only one input"); } InferenceEngine::OutputsDataMap output_info_map( net_reader->getNetwork().getOutputsInfo()); if (input_info_map.size() != 1) { - throw std::logic_error("Person Attribs Network expects networks having one output"); + throw std::logic_error("Person Attribs Network expects networks having one output"); } } diff --git a/sample/param/pipeline_reidentification.yaml b/sample/param/pipeline_reidentification.yaml index a1e3cfb7..73d62a74 100644 --- a/sample/param/pipeline_reidentification.yaml +++ b/sample/param/pipeline_reidentification.yaml @@ -28,8 +28,8 @@ Pipelines: - left: ObjectDetection right: [PersonReidentification, PersonAttribsDetection] - left: PersonReidentification - right: [ImageWindow] + right: [ImageWindow, RViz, RosTopic] - left: PersonAttribsDetection - right: [ImageWindow] + right: [ImageWindow, RViz, RosTopic] OpenvinoCommon: \ No newline at end of file From 21a1d5c6085b4fb409e248cf7acce794f7f0223f Mon Sep 17 00:00:00 2001 From: Rachel Date: Fri, 8 Mar 2019 16:54:09 +0800 Subject: [PATCH 18/28] Enable NCS under the OpenVINO Open Source version --- README.md | 47 ++++++++++++++++++++++++++++++++++++++++++++++- 1 file changed, 46 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 82043f3b..154d9b95 100644 --- a/README.md +++ b/README.md @@ -115,6 +115,51 @@ See below pictures for the demo result snapshots. # Installation & Launching **NOTE:** Intel releases 2 different series of OpenVINO Toolkit, we call them as [OpenSource Version](https://github.com/opencv/dldt/) and [Tarball Version](https://software.intel.com/en-us/openvino-toolkit). This guidelie uses OpenSource Version as the installation and launching example. **If you want to use Tarball version, please follow [the guide for Tarball Version](https://github.com/intel/ros2_openvino_toolkit/blob/devel/doc/BINARY_VERSION_README.md).** +## Enable Intel® Neural Compute Stick 2 (Intel® NCS 2) under the OpenVINO Open Source version (Optional)
+1. Intel Distribution of OpenVINO toolkit
+ * Download OpenVINO toolkit by following the [guide](https://software.intel.com/en-us/openvino-toolkit/choose-download)
+ ```bash + cd ~/Downloads + wget -c http://registrationcenter-download.intel.com/akdlm/irc_nas/15078/l_openvino_toolkit_p_2018.5.455.tgz + ``` + * Install OpenVINO toolkit by following the [guide](https://software.intel.com/en-us/articles/OpenVINO-Install-Linux)
+ ```bash + cd ~/Downloads + tar -xvf l_openvino_toolkit_p_2018.5.455.tgz + cd l_openvino_toolkit_p_2018.5.455 + # root is required instead of sudo + sudo -E ./install_cv_sdk_dependencies.sh + sudo ./install_GUI.sh + # build sample code under OpenVINO toolkit + source /opt/intel/computer_vision_sdk/bin/setupvars.sh + cd /opt/intel/computer_vision_sdk/deployment_tools/inference_engine/samples/ + mkdir build + cd build + cmake .. + make + ``` + * Configure the Neural Compute Stick USB Driver + ```bash + cd ~/Downloads + cat < 97-usbboot.rules + SUBSYSTEM=="usb", ATTRS{idProduct}=="2150", ATTRS{idVendor}=="03e7", GROUP="users", MODE="0666", ENV{ID_MM_DEVICE_IGNORE}="1" + SUBSYSTEM=="usb", ATTRS{idProduct}=="2485", ATTRS{idVendor}=="03e7", GROUP="users", MODE="0666", ENV{ID_MM_DEVICE_IGNORE}="1" + SUBSYSTEM=="usb", ATTRS{idProduct}=="f63b", ATTRS{idVendor}=="03e7", GROUP="users", MODE="0666", ENV{ID_MM_DEVICE_IGNORE}="1" + EOF + sudo cp 97-usbboot.rules /etc/udev/rules.d/ + sudo udevadm control --reload-rules + sudo udevadm trigger + sudo ldconfig + rm 97-usbboot.rules + ``` + +2. Configure the environment (you can write the configuration to your ~/.basrch file)
+ **Note**: If you used root privileges to install the OpenVINO binary package, it installs the Intel Distribution of OpenVINO toolkit in this directory: */opt/intel/openvino_/* + ```bash + export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/opt/intel/computer_vision_sdk/deployment_tools/inference_engine/samples/build/intel64/Release/lib + source /opt/intel/computer_vision_sdk/bin/setupvars.sh + ``` + ## Dependencies Installation One-step installation scripts are provided for the dependencies' installation. Please see [the guide](https://github.com/intel/ros2_openvino_toolkit/blob/devel/doc/OPEN_SOURCE_CODE_README.md) for details. @@ -199,7 +244,6 @@ One-step installation scripts are provided for the dependencies' installation. P ros2 run dynamic_vino_sample image_people_client ~/Pictures/face.png ``` - # TODO Features * Support **result filtering** for inference process, so that the inference results can be filtered to different subsidiary inference. For example, given an image, firstly we do Object Detection on it, secondly we pass cars to vehicle brand recognition and pass license plate to license number recognition. * Design **resource manager** to better use such resources as models, engines, and other external plugins. @@ -208,3 +252,4 @@ One-step installation scripts are provided for the dependencies' installation. P # More Information * ROS2 OpenVINO discription writen in Chinese: https://mp.weixin.qq.com/s/BgG3RGauv5pmHzV_hkVAdw + From c2a6bc725b36904d225bd4cdfb09aa518031cce5 Mon Sep 17 00:00:00 2001 From: Houk Chen Date: Mon, 11 Mar 2019 11:33:25 +0800 Subject: [PATCH 19/28] accept header from RealsenseCameraTopic --- .../dynamic_vino_lib/inputs/base_input.hpp | 21 ++++++++++++++----- .../inputs/realsense_camera_topic.hpp | 6 +++--- dynamic_vino_lib/src/inputs/image_input.cpp | 2 +- .../src/inputs/realsense_camera.cpp | 3 +-- .../src/inputs/realsense_camera_topic.cpp | 16 +++++++------- .../src/inputs/standard_camera.cpp | 4 +--- dynamic_vino_lib/src/inputs/video_input.cpp | 3 +-- .../src/outputs/ros_topic_output.cpp | 8 +------ dynamic_vino_lib/src/outputs/rviz_output.cpp | 9 +------- 9 files changed, 32 insertions(+), 40 deletions(-) diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/inputs/base_input.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/inputs/base_input.hpp index f94e1337..797a8848 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/inputs/base_input.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/inputs/base_input.hpp @@ -23,6 +23,7 @@ #include #include #include "dynamic_vino_lib/inputs/ros2_handler.hpp" +#include /** * @class BaseInputDevice @@ -120,24 +121,34 @@ class BaseInputDevice : public Ros2Handler * @brief Set the frame_id of input device for ROSTopic outputs. * @param[in] frame_id The frame_id of input device. */ - inline void setFrameID(std::string frame_id) + inline void setHeader(std::string frame_id) { - frame_id_ = frame_id; + header_.frame_id = frame_id; + std::chrono::high_resolution_clock::time_point tp = std::chrono::high_resolution_clock::now(); + int64 ns = tp.time_since_epoch().count(); + header_.stamp.sec = ns / 1000000000; + header_.stamp.nanosec = ns % 1000000000; } + + inline void setHeader(std_msgs::msg::Header header) + { + header_ = header; + } + /** * @brief Get the frame_id of input device. * @return Frame_id of input device. */ - inline std::string getFrameID() + inline std_msgs::msg::Header getHeader() { - return frame_id_; + return header_; } private: size_t width_ = 0; size_t height_ = 0; bool is_init_ = false; - std::string frame_id_; + std_msgs::msg::Header header_; }; } // namespace Input #endif // DYNAMIC_VINO_LIB__INPUTS__BASE_INPUT_HPP_ diff --git a/dynamic_vino_lib/include/dynamic_vino_lib/inputs/realsense_camera_topic.hpp b/dynamic_vino_lib/include/dynamic_vino_lib/inputs/realsense_camera_topic.hpp index b6789f52..73aa1ca4 100644 --- a/dynamic_vino_lib/include/dynamic_vino_lib/inputs/realsense_camera_topic.hpp +++ b/dynamic_vino_lib/include/dynamic_vino_lib/inputs/realsense_camera_topic.hpp @@ -48,11 +48,11 @@ class RealSenseCameraTopic : public BaseInputDevice, public rclcpp::Node return true; } bool read(cv::Mat * frame) override; - + private: rclcpp::Subscription::SharedPtr sub_; - cv::Mat image; - int image_count; + cv::Mat image_; + int image_count_; void cb(const sensor_msgs::msg::Image::SharedPtr image_msg); }; diff --git a/dynamic_vino_lib/src/inputs/image_input.cpp b/dynamic_vino_lib/src/inputs/image_input.cpp index 5a295cac..3a30d226 100644 --- a/dynamic_vino_lib/src/inputs/image_input.cpp +++ b/dynamic_vino_lib/src/inputs/image_input.cpp @@ -28,7 +28,6 @@ Input::Image::Image(const std::string & file) bool Input::Image::initialize() { - setFrameID("image_frame"); image_ = cv::imread(file_); if (image_.data != NULL) { setInitStatus(true); @@ -46,6 +45,7 @@ bool Input::Image::read(cv::Mat * frame) return false; } *frame = image_; + setHeader("image_frame"); return true; } diff --git a/dynamic_vino_lib/src/inputs/realsense_camera.cpp b/dynamic_vino_lib/src/inputs/realsense_camera.cpp index f0bd7aa6..3eaac36e 100644 --- a/dynamic_vino_lib/src/inputs/realsense_camera.cpp +++ b/dynamic_vino_lib/src/inputs/realsense_camera.cpp @@ -23,7 +23,6 @@ // RealSenseCamera bool Input::RealSenseCamera::initialize() { - setFrameID("realsense_camera_frame"); cfg_.enable_stream(RS2_STREAM_COLOR, 640, 480, RS2_FORMAT_BGR8, 30); setInitStatus(pipe_.start(cfg_)); setWidth(640); @@ -47,7 +46,6 @@ bool Input::RealSenseCamera::initialize() } bool Input::RealSenseCamera::initialize(size_t width, size_t height) { - setFrameID("realsense_camera_frame"); if (3 * width != 4 * height) { slog::err << "The aspect ratio must be 4:3 when using RealSense camera" << slog::endl; return false; @@ -89,5 +87,6 @@ bool Input::RealSenseCamera::read(cv::Mat * frame) cv::Mat(cv::Size(static_cast(getWidth()), static_cast(getHeight())), CV_8UC3, const_cast(color_frame.get_data()), cv::Mat::AUTO_STEP) .copyTo(*frame); + setHeader("realsense_camera_frame"); return true; } diff --git a/dynamic_vino_lib/src/inputs/realsense_camera_topic.cpp b/dynamic_vino_lib/src/inputs/realsense_camera_topic.cpp index 93a64857..fd4f4cf3 100644 --- a/dynamic_vino_lib/src/inputs/realsense_camera_topic.cpp +++ b/dynamic_vino_lib/src/inputs/realsense_camera_topic.cpp @@ -38,27 +38,25 @@ bool Input::RealSenseCameraTopic::initialize() "/openvino_toolkit/image_raw", std::bind(&RealSenseCameraTopic::cb, this, std::placeholders::_1)); - image_count = 0; + image_count_ = 0; return true; } void Input::RealSenseCameraTopic::cb(const sensor_msgs::msg::Image::SharedPtr image_msg) { slog::info << "Receiving a new image from Camera topic." << slog::endl; - setFrameID(image_msg->header.frame_id); - image = cv_bridge::toCvCopy(image_msg, "bgr8")->image; - ++image_count; + setHeader(image_msg->header); + image_ = cv_bridge::toCvCopy(image_msg, "bgr8")->image; + ++image_count_; } bool Input::RealSenseCameraTopic::read(cv::Mat * frame) { - if (image.empty() || image_count <= 0) { + if (image_.empty() || image_count_ <= 0) { slog::warn << "No data received in CameraTopic instance" << slog::endl; return false; } - - *frame = image; - --image_count; - + *frame = image_; + --image_count_; return true; } diff --git a/dynamic_vino_lib/src/inputs/standard_camera.cpp b/dynamic_vino_lib/src/inputs/standard_camera.cpp index e02cd5f4..54bd92e0 100644 --- a/dynamic_vino_lib/src/inputs/standard_camera.cpp +++ b/dynamic_vino_lib/src/inputs/standard_camera.cpp @@ -21,7 +21,6 @@ // StandardCamera bool Input::StandardCamera::initialize() { - setFrameID("standard_camera_frame"); setInitStatus(cap.open(0)); setWidth((size_t)cap.get(CV_CAP_PROP_FRAME_WIDTH)); setHeight((size_t)cap.get(CV_CAP_PROP_FRAME_HEIGHT)); @@ -30,7 +29,6 @@ bool Input::StandardCamera::initialize() bool Input::StandardCamera::initialize(int camera_num) { - setFrameID("standard_camera_frame"); setInitStatus(cap.open(camera_num)); setWidth((size_t)cap.get(CV_CAP_PROP_FRAME_WIDTH)); setHeight((size_t)cap.get(CV_CAP_PROP_FRAME_HEIGHT)); @@ -39,7 +37,6 @@ bool Input::StandardCamera::initialize(int camera_num) bool Input::StandardCamera::initialize(size_t width, size_t height) { - setFrameID("standard_camera_frame"); setWidth(width); setHeight(height); setInitStatus(cap.open(0)); @@ -56,5 +53,6 @@ bool Input::StandardCamera::read(cv::Mat * frame) return false; } cap.grab(); + setHeader("standard_camera_frame"); return cap.retrieve(*frame); } diff --git a/dynamic_vino_lib/src/inputs/video_input.cpp b/dynamic_vino_lib/src/inputs/video_input.cpp index df9e4664..d452ec8a 100644 --- a/dynamic_vino_lib/src/inputs/video_input.cpp +++ b/dynamic_vino_lib/src/inputs/video_input.cpp @@ -29,7 +29,6 @@ Input::Video::Video(const std::string & video) bool Input::Video::initialize() { - setFrameID("video_frame"); setInitStatus(cap.open(video_)); setWidth((size_t)cap.get(CV_CAP_PROP_FRAME_WIDTH)); setHeight((size_t)cap.get(CV_CAP_PROP_FRAME_HEIGHT)); @@ -38,7 +37,6 @@ bool Input::Video::initialize() bool Input::Video::initialize(size_t width, size_t height) { - setFrameID("video_frame"); setWidth(width); setHeight(height); setInitStatus(cap.open(video_)); @@ -55,5 +53,6 @@ bool Input::Video::read(cv::Mat * frame) return false; } cap.grab(); + setHeader("video_frame"); return cap.retrieve(*frame); } diff --git a/dynamic_vino_lib/src/outputs/ros_topic_output.cpp b/dynamic_vino_lib/src/outputs/ros_topic_output.cpp index 092e6dbd..2de99f69 100644 --- a/dynamic_vino_lib/src/outputs/ros_topic_output.cpp +++ b/dynamic_vino_lib/src/outputs/ros_topic_output.cpp @@ -276,11 +276,5 @@ void Outputs::RosTopicOutput::handleOutput() */ std_msgs::msg::Header Outputs::RosTopicOutput::getHeader() { - std_msgs::msg::Header header; - header.frame_id = getPipeline()->getInputDevice()->getFrameID(); - std::chrono::high_resolution_clock::time_point tp = std::chrono::high_resolution_clock::now(); - int64 ns = tp.time_since_epoch().count(); - header.stamp.sec = ns / 1000000000; - header.stamp.nanosec = ns % 1000000000; - return header; + return getPipeline()->getInputDevice()->getHeader(); } diff --git a/dynamic_vino_lib/src/outputs/rviz_output.cpp b/dynamic_vino_lib/src/outputs/rviz_output.cpp index 656a41ba..4ed4262e 100644 --- a/dynamic_vino_lib/src/outputs/rviz_output.cpp +++ b/dynamic_vino_lib/src/outputs/rviz_output.cpp @@ -96,12 +96,5 @@ void Outputs::RvizOutput::handleOutput() std_msgs::msg::Header Outputs::RvizOutput::getHeader() { - std_msgs::msg::Header header; - header.frame_id = getPipeline()->getInputDevice()->getFrameID(); - - std::chrono::high_resolution_clock::time_point tp = std::chrono::high_resolution_clock::now(); - int64 ns = tp.time_since_epoch().count(); - header.stamp.sec = ns / 1000000000; - header.stamp.nanosec = ns % 1000000000; - return header; + return getPipeline()->getInputDevice()->getHeader(); } From ab01e42903e6376d262bfb05f1162b237eda959d Mon Sep 17 00:00:00 2001 From: Rachel Date: Wed, 13 Mar 2019 13:07:38 +0800 Subject: [PATCH 20/28] add people detection service test case --- .../tests/service/unittest_peopleService.cpp | 80 +++++++++++++++++++ .../image_people_service_test.launch.py | 33 ++++++++ .../testParam/image_people_service_test.yaml | 41 ++++++++++ 3 files changed, 154 insertions(+) create mode 100644 sample/tests/service/unittest_peopleService.cpp create mode 100644 sample/tests/testParam/image_people_service_test.launch.py create mode 100644 sample/tests/testParam/image_people_service_test.yaml diff --git a/sample/tests/service/unittest_peopleService.cpp b/sample/tests/service/unittest_peopleService.cpp new file mode 100644 index 00000000..8c7a8b35 --- /dev/null +++ b/sample/tests/service/unittest_peopleService.cpp @@ -0,0 +1,80 @@ +// Copyright (c) 2017 Intel Corporation. All Rights Reserved +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include "dynamic_vino_lib/services/frame_processing_server.hpp" + +std::string generate_file_path(std::string path) +{ + std::string base_path = __FILE__; + const std::string filename = "sample/tests/service/unittest_peopleService.cpp"; + base_path = base_path.substr(0, base_path.length() - filename.length() - 1); + return base_path + "/" + path; +} + +TEST(UnitTestPeople, testPeople) +{ + auto node = rclcpp::Node::make_shared("openvino_people_service_test"); + + auto client = node->create_client("/openvino_toolkit/service"); + auto request = std::make_shared(); + + std::string buffer = generate_file_path("data/images/team.jpg"); + std::cout << buffer << std::endl; + request->image_path = buffer; + + if (!client->wait_for_service(std::chrono::seconds(30))) { + ASSERT_TRUE(false) << "service not available after waiting"; + } + + auto result = client->async_send_request(request); + + auto ret = rclcpp::spin_until_future_complete(node, result, std::chrono::seconds(5)); + EXPECT_EQ(ret, rclcpp::executor::FutureReturnCode::SUCCESS); + + auto srv = result.get(); + + EXPECT_TRUE(srv->persons.faces.size()); + + for (unsigned int i = 0; i < srv->persons.faces.size(); i++) { + EXPECT_EQ(srv->persons.faces[i].object.object_name, "Person"); + EXPECT_TRUE(srv->persons.emotions[i].emotion.c_str()); + EXPECT_TRUE(srv->persons.agegenders[i].age); + EXPECT_TRUE(srv->persons.agegenders[i].gender.c_str()); + } +} + +int main(int argc, char ** argv) +{ + rclcpp::init(argc, argv); + testing::InitGoogleTest(&argc, argv); + auto offset = std::chrono::seconds(20); + system("ros2 launch dynamic_vino_sample image_people_service_test.launch.py &"); + rclcpp::sleep_for(offset); + int ret = RUN_ALL_TESTS(); + system("killall -s SIGINT image_people_server &"); + rclcpp::shutdown(); + return ret; +} diff --git a/sample/tests/testParam/image_people_service_test.launch.py b/sample/tests/testParam/image_people_service_test.launch.py new file mode 100644 index 00000000..6155205f --- /dev/null +++ b/sample/tests/testParam/image_people_service_test.launch.py @@ -0,0 +1,33 @@ +# Copyright 2018 Open Source Robotics Foundation, Inc. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +"""Launch face detection and rviz.""" + +import os + +from ament_index_python.packages import get_package_share_directory +from launch import LaunchDescription +import launch_ros.actions + + +def generate_launch_description(): + default_yaml = os.path.join(get_package_share_directory('dynamic_vino_sample'), 'testParam', + 'image_people_service_test.yaml') + return LaunchDescription([ + # Openvino detection + launch_ros.actions.Node( + package='dynamic_vino_sample', node_executable='image_people_server', + arguments=['-config', default_yaml], + output='screen'), + ]) diff --git a/sample/tests/testParam/image_people_service_test.yaml b/sample/tests/testParam/image_people_service_test.yaml new file mode 100644 index 00000000..c1d97669 --- /dev/null +++ b/sample/tests/testParam/image_people_service_test.yaml @@ -0,0 +1,41 @@ +Pipelines: +- name: people + inputs: [Image] + infers: + - name: FaceDetection + model: /opt/openvino_toolkit/open_model_zoo/model_downloader/Transportation/object_detection/face/pruned_mobilenet_reduced_ssd_shared_weights/dldt/face-detection-adas-0001.xml + engine: CPU + label: /opt/intel/computer_vision_sdk/deployment_tools/intel_models/face-detection-adas-0001/FP32/face-detection-adas-0001.labels + batch: 16 + confidence_threshold: 0.5 + enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame + - name: AgeGenderRecognition + model: /opt/openvino_toolkit/open_model_zoo/model_downloader/Retail/object_attributes/age_gender/dldt/age-gender-recognition-retail-0013.xml + engine: CPU + label: to/be/set/xxx.labels + batch: 16 + - name: EmotionRecognition + model: /opt/openvino_toolkit/open_model_zoo/model_downloader/Retail/object_attributes/emotions_recognition/0003/dldt/emotions-recognition-retail-0003.xml + engine: CPU + label: /opt/intel/computer_vision_sdk/deployment_tools/intel_models/emotions-recognition-retail-0003/FP32/emotions-recognition-retail-0003.labels + batch: 16 + - name: HeadPoseEstimation + model: /opt/openvino_toolkit/open_model_zoo/model_downloader/Transportation/object_attributes/headpose/vanilla_cnn/dldt/head-pose-estimation-adas-0001.xml + engine: CPU + label: to/be/set/xxx.labels + batch: 16 + outputs: [RosService] + connects: + - left: Image + right: [FaceDetection] + - left: FaceDetection + right: [AgeGenderRecognition, EmotionRecognition, HeadPoseEstimation, RosService] + - left: AgeGenderRecognition + right: [RosService] + - left: EmotionRecognition + right: [RosService] + - left: HeadPoseEstimation + right: [RosService] + input_path: "/home/intel/ros2_overlay_ws/src/ros2_openvino_toolkit/data/images/team.png" + +Common: From 40f18ebb24c115804e545a98cfb3cce63cbba04f Mon Sep 17 00:00:00 2001 From: Rachel Date: Wed, 13 Mar 2019 13:08:47 +0800 Subject: [PATCH 21/28] update yaml add parameters --- sample/param/image_people_server_oss.yaml | 3 ++- sample/tests/testParam/image_object_service_test.yaml | 5 +++-- sample/tests/testParam/pipeline_face_test.yaml | 3 ++- sample/tests/testParam/pipeline_image_test.yaml | 3 ++- sample/tests/testParam/pipeline_object_test.yaml | 3 ++- sample/tests/testParam/pipeline_segmentation_test.yaml | 3 ++- 6 files changed, 13 insertions(+), 7 deletions(-) diff --git a/sample/param/image_people_server_oss.yaml b/sample/param/image_people_server_oss.yaml index 9107b2e7..4f4e3b79 100644 --- a/sample/param/image_people_server_oss.yaml +++ b/sample/param/image_people_server_oss.yaml @@ -7,6 +7,8 @@ Pipelines: engine: CPU label: /opt/intel/computer_vision_sdk/deployment_tools/intel_models/face-detection-adas-0001/FP32/face-detection-adas-0001.labels batch: 16 + confidence_threshold: 0.5 + enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame - name: AgeGenderRecognition model: /opt/openvino_toolkit/open_model_zoo/model_downloader/Retail/object_attributes/age_gender/dldt/age-gender-recognition-retail-0013.xml engine: CPU @@ -23,7 +25,6 @@ Pipelines: label: to/be/set/xxx.labels batch: 16 outputs: [RosService, RViz] - confidence_threshold: 0.2 connects: - left: Image right: [FaceDetection] diff --git a/sample/tests/testParam/image_object_service_test.yaml b/sample/tests/testParam/image_object_service_test.yaml index 229bf2da..195db899 100644 --- a/sample/tests/testParam/image_object_service_test.yaml +++ b/sample/tests/testParam/image_object_service_test.yaml @@ -7,13 +7,14 @@ Pipelines: engine: CPU label: to/be/set/xxx.labels batch: 16 + confidence_threshold: 0.5 + enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame outputs: [RosService] - confidence_threshold: 0.2 connects: - left: Image right: [ObjectDetection] - left: ObjectDetection right: [RosService] - input_path: "/home/intel/Pictures/car.png" + input_path: "/home/intel/ros2_overlay_ws/src/ros2_openvino_toolkit/data/images/car_vihecle.png" Common: diff --git a/sample/tests/testParam/pipeline_face_test.yaml b/sample/tests/testParam/pipeline_face_test.yaml index 7de0bcf1..51e38591 100644 --- a/sample/tests/testParam/pipeline_face_test.yaml +++ b/sample/tests/testParam/pipeline_face_test.yaml @@ -7,6 +7,8 @@ Pipelines: engine: CPU label: /opt/intel/computer_vision_sdk/deployment_tools/intel_models/face-detection-adas-0001/FP32/face-detection-adas-0001.labels batch: 1 + confidence_threshold: 0.5 + enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame - name: AgeGenderRecognition model: /opt/openvino_toolkit/open_model_zoo/model_downloader/Retail/object_attributes/age_gender/dldt/age-gender-recognition-retail-0013.xml engine: CPU @@ -23,7 +25,6 @@ Pipelines: label: to/be/set/xxx.labels batch: 16 outputs: [RosTopic] - confidence_threshold: 0.2 connects: - left: StandardCamera right: [FaceDetection] diff --git a/sample/tests/testParam/pipeline_image_test.yaml b/sample/tests/testParam/pipeline_image_test.yaml index be19e01d..ca213087 100644 --- a/sample/tests/testParam/pipeline_image_test.yaml +++ b/sample/tests/testParam/pipeline_image_test.yaml @@ -8,6 +8,8 @@ Pipelines: engine: CPU label: /opt/intel/computer_vision_sdk/deployment_tools/intel_models/face-detection-adas-0001/FP32/face-detection-adas-0001.labels batch: 1 + confidence_threshold: 0.5 + enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame - name: AgeGenderRecognition model: /opt/openvino_toolkit/open_model_zoo/model_downloader/Retail/object_attributes/age_gender/dldt/age-gender-recognition-retail-0013.xml engine: CPU @@ -24,7 +26,6 @@ Pipelines: label: to/be/set/xxx.labels batch: 16 outputs: [RosTopic] - confidence_threshold: 0.2 connects: - left: Image right: [FaceDetection] diff --git a/sample/tests/testParam/pipeline_object_test.yaml b/sample/tests/testParam/pipeline_object_test.yaml index 1666674e..a4d66d09 100644 --- a/sample/tests/testParam/pipeline_object_test.yaml +++ b/sample/tests/testParam/pipeline_object_test.yaml @@ -7,8 +7,9 @@ Pipelines: engine: CPU label: to/be/set/xxx.labels batch: 16 + confidence_threshold: 0.5 + enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame outputs: [RosTopic] - confidence_threshold: 0.2 connects: - left: StandardCamera right: [ObjectDetection] diff --git a/sample/tests/testParam/pipeline_segmentation_test.yaml b/sample/tests/testParam/pipeline_segmentation_test.yaml index 980287e4..a7d4fbd2 100644 --- a/sample/tests/testParam/pipeline_segmentation_test.yaml +++ b/sample/tests/testParam/pipeline_segmentation_test.yaml @@ -7,8 +7,9 @@ Pipelines: engine: CPU label: to/be/set/xxx.labels batch: 1 + confidence_threshold: 0.5 + enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame outputs: [RosTopic] - confidence_threshold: 0.2 connects: - left: StandardCamera right: [ObjectSegmentation] From dd382a93a8f5653ae2d66d058bce4109f453761e Mon Sep 17 00:00:00 2001 From: Rachel Date: Wed, 13 Mar 2019 13:12:13 +0800 Subject: [PATCH 22/28] add exception capture --- sample/src/image_object_server.cpp | 2 ++ sample/src/image_people_server.cpp | 2 ++ 2 files changed, 4 insertions(+) diff --git a/sample/src/image_object_server.cpp b/sample/src/image_object_server.cpp index ff0fe404..73e573f3 100644 --- a/sample/src/image_object_server.cpp +++ b/sample/src/image_object_server.cpp @@ -67,6 +67,8 @@ int main(int argc, char ** argv) auto node = std::make_shared>(service_name, config_path); rclcpp::spin(node); + } catch (std::exception & e) { + std::cout << e.what() << std::endl; } catch (...) { std::cout << "[ERROR] [frame_processing_server]: " << "exception caught" << std::endl; diff --git a/sample/src/image_people_server.cpp b/sample/src/image_people_server.cpp index b8950b73..d47906d4 100644 --- a/sample/src/image_people_server.cpp +++ b/sample/src/image_people_server.cpp @@ -68,6 +68,8 @@ int main(int argc, char ** argv) auto node = std::make_shared>("service_people_detection", config_path); rclcpp::spin(node); + } catch (std::exception & e) { + std::cout << e.what() << std::endl; } catch (...) { std::cout << "[ERROR] [service_people_detection]: " << "exception caught" << std::endl; From c1b1996cac7adc05d1d97933200ca5fb21baa81e Mon Sep 17 00:00:00 2001 From: Rachel Date: Wed, 13 Mar 2019 13:13:36 +0800 Subject: [PATCH 23/28] update people service add structured output --- sample/src/image_people_client.cpp | 27 +++++++++++++++++---------- 1 file changed, 17 insertions(+), 10 deletions(-) diff --git a/sample/src/image_people_client.cpp b/sample/src/image_people_client.cpp index 7c2b1c4a..eba31b91 100644 --- a/sample/src/image_people_client.cpp +++ b/sample/src/image_people_client.cpp @@ -55,7 +55,6 @@ int main(int argc, char ** argv) rclcpp::executor::FutureReturnCode::SUCCESS) { auto people = result.get(); - if (people->persons.emotions.size() == 0 && people->persons.agegenders.size() == 0 && people->persons.headposes.size() == 0) { @@ -63,16 +62,24 @@ int main(int argc, char ** argv) return 0; } RCLCPP_INFO(node->get_logger(), "Found persons..."); - std::cout << "Emotions:"; - for (auto e : people->persons.emotions) { - std::cout << e.emotion.c_str() << " "; - } - std::cout << std::endl; - std::cout << "AgeGender:"; - for (auto a : people->persons.agegenders) { - std::cout << a.age << "," << a.gender.c_str() << " "; + + for (unsigned int i = 0; i < people->persons.faces.size(); i++) { + RCLCPP_INFO(node->get_logger(), "%d: object: %s", i, + people->persons.faces[i].object.object_name.c_str()); + RCLCPP_INFO(node->get_logger(), "prob: %f", + people->persons.faces[i].object.probability); + RCLCPP_INFO( + node->get_logger(), "location: (%d, %d, %d, %d)", + people->persons.faces[i].roi.x_offset, people->persons.faces[i].roi.y_offset, + people->persons.faces[i].roi.width, people->persons.faces[i].roi.height); + RCLCPP_INFO(node->get_logger(), "Emotions: %s", + people->persons.emotions[i].emotion.c_str()); + RCLCPP_INFO(node->get_logger(), "Age: %f, Gender: %s", + people->persons.agegenders[i].age, people->persons.agegenders[i].gender.c_str()); + RCLCPP_INFO(node->get_logger(), "Yaw, Pitch and Roll for head pose is: (%f, %f, %f),", + people->persons.headposes[i].yaw, people->persons.headposes[i].pitch, + people->persons.headposes[i].roll); } - std::cout << std::endl; } else { RCLCPP_WARN(node->get_logger(), "NO response received!!"); } From 4aa7b7e13806776d3b46c5bd850bca0847363866 Mon Sep 17 00:00:00 2001 From: Rachel Date: Wed, 13 Mar 2019 13:14:25 +0800 Subject: [PATCH 24/28] add the dependency of people service --- sample/CMakeLists.txt | 15 +++++++++------ 1 file changed, 9 insertions(+), 6 deletions(-) diff --git a/sample/CMakeLists.txt b/sample/CMakeLists.txt index c4e34451..366df34b 100644 --- a/sample/CMakeLists.txt +++ b/sample/CMakeLists.txt @@ -315,22 +315,25 @@ if(BUILD_TESTING) custom_gtest(unittest_createPipelineCheck "tests/lib/unittest_createPipelineCheck.cpp" - TIMEOUT 300) + TIMEOUT 100) custom_gtest(unittest_faceDetection "tests/topic/unittest_faceDetectionCheck.cpp" - TIMEOUT 300) + TIMEOUT 100) custom_gtest(unittest_objectDetection "tests/topic/unittest_objectDetectionCheck.cpp" - TIMEOUT 300) + TIMEOUT 100) custom_gtest(unittest_imageDetection "tests/topic/unittest_imageCheck.cpp" - TIMEOUT 300) + TIMEOUT 100) custom_gtest(unittest_segmentation "tests/topic/unittest_segmentationCheck.cpp" - TIMEOUT 300) + TIMEOUT 100) custom_gtest(unittest_objectService "tests/service/unittest_objectService.cpp" - TIMEOUT 300) + TIMEOUT 100) + custom_gtest(unittest_peopleService + "tests/service/unittest_peopleService.cpp" + TIMEOUT 100) endif() From 9058d3c70a534f751ad43a4cb035e9cd9a199ead Mon Sep 17 00:00:00 2001 From: Rachel Date: Wed, 13 Mar 2019 13:14:46 +0800 Subject: [PATCH 25/28] modify service name --- sample/tests/service/unittest_objectService.cpp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/sample/tests/service/unittest_objectService.cpp b/sample/tests/service/unittest_objectService.cpp index e020e1f2..d05f1184 100644 --- a/sample/tests/service/unittest_objectService.cpp +++ b/sample/tests/service/unittest_objectService.cpp @@ -36,7 +36,7 @@ TEST(UnitTestObject, testObject) { auto node = rclcpp::Node::make_shared("openvino_object_service_test"); - auto client = node->create_client("detect_object"); + auto client = node->create_client("/openvino_toolkit/service"); auto request = std::make_shared(); std::string buffer = generate_file_path("data/images/car_vihecle.png"); From f5eed3c85570ee9ecbbf7f1c81fda0264c8320e4 Mon Sep 17 00:00:00 2001 From: Rachel Date: Wed, 13 Mar 2019 16:18:32 +0800 Subject: [PATCH 26/28] add person service launch and video snippet --- data/images/person-reidentification.gif | Bin 0 -> 8810682 bytes .../pipeline_reidentification.launch.py | 44 ++++++++++++++++++ .../pipeline_reidentification_oss.launch.py | 44 ++++++++++++++++++ sample/param/pipeline_reidentification.yaml | 10 +--- .../param/pipeline_reidentification_oss.yaml | 27 +++++++++++ 5 files changed, 116 insertions(+), 9 deletions(-) create mode 100644 data/images/person-reidentification.gif create mode 100644 sample/launch/pipeline_reidentification.launch.py create mode 100644 sample/launch/pipeline_reidentification_oss.launch.py create mode 100644 sample/param/pipeline_reidentification_oss.yaml diff --git a/data/images/person-reidentification.gif b/data/images/person-reidentification.gif new file mode 100644 index 0000000000000000000000000000000000000000..ee8690f5d1e81067945e3c3c7d6f3005544f17d7 GIT binary patch literal 8810682 zcmV)7K*zsFNk%w1VUYr+0rvm^8yguD5ey$893dhdDkvN@FB~K#A}T8;EiEf1DJC&5 zEH*1BEio-CF(xrFB``29I65sfEj2DNGA%YYGcz$dJ2X8#J2g2rD=ab{A0tvECr3Im zU@t5^LpVA`E;d3NLqs)0MLR`GJ4;MGNJuzSOgv0cJx5VIQ&T-qOf6(qH8wa*H86A( 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