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infer.cc
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infer.cc
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// Copyright (c) 2022 PaddlePaddle Authors. 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 "fastdeploy/vision.h"
#ifdef WIN32
const char sep = '\\';
#else
const char sep = '/';
#endif
void InitAndInfer(const std::string& model_dir, const std::string& image_file) {
auto model_file = model_dir + sep + "model.pdmodel";
auto params_file = model_dir + sep + "model.pdiparams";
auto config_file = model_dir + sep + "deploy.yaml";
auto subgraph_file = model_dir + sep + "subgraph.txt";
fastdeploy::vision::EnableFlyCV();
fastdeploy::RuntimeOption option;
option.UseTimVX();
option.SetLiteSubgraphPartitionPath(subgraph_file);
auto model = fastdeploy::vision::segmentation::PaddleSegModel(
model_file, params_file, config_file, option);
assert(model.Initialized());
auto im = cv::imread(image_file);
fastdeploy::vision::SegmentationResult res;
if (!model.Predict(im, &res)) {
std::cerr << "Failed to predict." << std::endl;
return;
}
std::cout << res.Str() << std::endl;
auto vis_im = fastdeploy::vision::VisSegmentation(im, res, 0.5);
cv::imwrite("vis_result.jpg", vis_im);
std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
}
int main(int argc, char* argv[]) {
if (argc < 3) {
std::cout << "Usage: infer_demo path/to/quant_model "
"path/to/image "
"e.g ./infer_demo ./ResNet50_vd_quant ./test.jpeg"
<< std::endl;
return -1;
}
std::string model_dir = argv[1];
std::string test_image = argv[2];
InitAndInfer(model_dir, test_image);
return 0;
}