From c6eca50d062ce1f97f1168e2e0dafd5e17bf54ee Mon Sep 17 00:00:00 2001 From: Aparna Chhajed Date: Tue, 5 Nov 2019 12:48:32 +0530 Subject: [PATCH] Initial Commit Initial commit of Python bindings Apps --- .python-app-pipeline.png | Bin 0 -> 21687 bytes .test3-app.png | Bin 0 -> 1081940 bytes FAQ.md | 85 +++ HOWTO.md | 195 +++++++ LICENSE | 21 + README.md | 46 ++ apps/README | 98 ++++ apps/common/FPS.py | 28 + apps/common/__init__.py | 0 apps/common/bus_call.py | 17 + apps/common/is_aarch_64.py | 14 + apps/common/utils.py | 5 + apps/deepstream-test1/README | 54 ++ apps/deepstream-test1/deepstream_test_1.py | 264 +++++++++ apps/deepstream-test1/dstest1_pgie_config.txt | 77 +++ apps/deepstream-test2/README | 63 ++ apps/deepstream-test2/deepstream_test_2.py | 321 +++++++++++ apps/deepstream-test2/dstest2_pgie_config.txt | 79 +++ .../deepstream-test2/dstest2_sgie1_config.txt | 83 +++ .../deepstream-test2/dstest2_sgie2_config.txt | 83 +++ .../deepstream-test2/dstest2_sgie3_config.txt | 83 +++ .../dstest2_tracker_config.txt | 37 ++ apps/deepstream-test2/tracker_config.yml | 19 + apps/deepstream-test3/README | 72 +++ apps/deepstream-test3/deepstream_test_3.py | 348 +++++++++++ apps/deepstream-test3/dstest3_pgie_config.txt | 79 +++ apps/deepstream-test4/README | 185 ++++++ apps/deepstream-test4/cfg_amqp.txt | 29 + apps/deepstream-test4/cfg_azure.txt | 25 + apps/deepstream-test4/cfg_kafka.txt | 23 + apps/deepstream-test4/deepstream_test_4.py | 543 ++++++++++++++++++ .../dstest4_msgconv_config.txt | 58 ++ apps/deepstream-test4/dstest4_pgie_config.txt | 79 +++ bindings/LICENSE.pybind11 | 29 + bindings/README.md | 7 + 35 files changed, 3149 insertions(+) create mode 100644 .python-app-pipeline.png create mode 100644 .test3-app.png create mode 100644 FAQ.md create mode 100644 HOWTO.md create mode 100644 LICENSE create mode 100644 README.md create mode 100644 apps/README create mode 100644 apps/common/FPS.py create mode 100644 apps/common/__init__.py create mode 100644 apps/common/bus_call.py create mode 100644 apps/common/is_aarch_64.py create mode 100644 apps/common/utils.py create mode 100644 apps/deepstream-test1/README create mode 100644 apps/deepstream-test1/deepstream_test_1.py create mode 100644 apps/deepstream-test1/dstest1_pgie_config.txt create mode 100644 apps/deepstream-test2/README create mode 100644 apps/deepstream-test2/deepstream_test_2.py create mode 100644 apps/deepstream-test2/dstest2_pgie_config.txt create mode 100644 apps/deepstream-test2/dstest2_sgie1_config.txt create mode 100644 apps/deepstream-test2/dstest2_sgie2_config.txt create mode 100644 apps/deepstream-test2/dstest2_sgie3_config.txt create mode 100644 apps/deepstream-test2/dstest2_tracker_config.txt create mode 100644 apps/deepstream-test2/tracker_config.yml create mode 100644 apps/deepstream-test3/README create mode 100644 apps/deepstream-test3/deepstream_test_3.py create mode 100644 apps/deepstream-test3/dstest3_pgie_config.txt create mode 100644 apps/deepstream-test4/README create mode 100644 apps/deepstream-test4/cfg_amqp.txt create mode 100644 apps/deepstream-test4/cfg_azure.txt create mode 100644 apps/deepstream-test4/cfg_kafka.txt create mode 100644 apps/deepstream-test4/deepstream_test_4.py create mode 100644 apps/deepstream-test4/dstest4_msgconv_config.txt create mode 100644 apps/deepstream-test4/dstest4_pgie_config.txt create mode 100644 bindings/LICENSE.pybind11 create mode 100644 bindings/README.md diff --git a/.python-app-pipeline.png b/.python-app-pipeline.png new file mode 100644 index 0000000000000000000000000000000000000000..13f041dc17bdd98fcecdf062e9b3d7ab7dbe0ee2 GIT binary patch literal 21687 zcmdqJbySqy*FQ{yASEgdA|)+S5(6j#(n>cf3Ij-Yj(~!wgmi}pNDSR6A|O&jcS&~* zUB5G+&mHUgKF{-8??3N)@3p+I8Lo4kv(L`Y-e+GE@JLyf5T6Pk4GoP@?%@MfG&Ibw zXlNKTco^U>r4o-g(a_Yrr~hzOKd#l-ocoeGq(CuWZG@&eV5e( z3tb*pSf(?9=~4z#W9Inl(dWfx7bBA2`*{AnU(myk!(?i;&93V5mCR5-wqe{BH;;FF za`Rk{X)Bv7Yv}8Fp^K&x6-Bz=e8;Oiwr|hXO^r>xjd2e8{0Wo8!I+=U;}`Ava-UOM 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zQ9n`p`6(tmOG$&aUr;hP{tZ7|zHs7!n;P1NI6i^N2%ciG-Y8tsZ))4o+fpz9VNe`M z!-14S@+PD%H|S6)Vk`8@FqGOQ4STMc32n2L*C9e_;KK2zuO4Bp$cb(@k13q{Ub(T2HfWN5P{skPuZumXkS_9nV zILA{UO{fiXSUQSzgL0(mZ$+x-w&;uy-XjD4C}Ar=PeG~zHt@L!EjsAEP=fOmh{$VG zUFdZfS%clBZGe>pDizofU!k`pS7O4(BcorcjL6^+0IiF?Fzt95SjZ-*(SU#;2?;>~ z`!S1)5w{@(1KujO$T(~XhhX)ks9guz0z`xGFhNDN-=}2ross(+6h`%^o##WQv#NH!hs{p0w=y@qrD^Ul!sbBumiP49kL&~87z+hfsvXL0N5uuV{z zT}J=G^e;u!l`lim;xn8}uS)BxB}(|)%wKc%#K(QVcjXqP^J(?+SiPPndSJ{nqQ%#* zM)m)|KJJDoRZAm$|6|+%M5z02SA4z^W}T{pb&CJbqxj6rs2OSm{83fXRIIpV8vMTi DA3A^5 literal 0 HcmV?d00001 diff --git a/FAQ.md b/FAQ.md new file mode 100644 index 0000000..c17f5f0 --- /dev/null +++ b/FAQ.md @@ -0,0 +1,85 @@ +# Frequently Asked Questions and Troubleshooting Guide + +[Ctrl-C does not stop the app during engine file generation](#faq1) +[Application fails to create gst elements](#faq2) +[GStreamer debugging](#faq3) +[Application stuck with no playback](#faq4) +[Error on setting string field](#faq5) +[Pipeline unable to perform at real time](#faq6) + + +### Ctrl-C does not stop the app during engine file generation +This is a limitation of Python signal handling: +https://docs.python.org/3/library/signal.html +"A long-running calculation implemented purely in C (such as regular expression matching on a large body of text) may run uninterrupted for an arbitrary amount of time, regardless of any signals received. The Python signal handlers will be called when the calculation finishes." + +To work around this: +1. Use ctrl-z to bg the process +2. Optionally run "jobs" if there are potentially multiple bg processes: + $ jobs + [1]- Stopped python3 deepstream_test_1.py /opt/nvidia/deepstream/deepstream-4.0/samples/streams/sample_720p.h264 (wd: /opt/nvidia/deepstream/deepstream-4.0/sources/apps/python/deepstream-test1) + [2]+ Stopped python3 deepstream_test_2.py /opt/nvidia/deepstream/deepstream-4.0/samples/streams/sample_720p.h264 +3. Kill the bg job: + $ kill % + + + +### Application fails to create gst elements +As with DeepStream SDK, if the application runs into errors, cannot create gst elements, try again after removing gstreamer cache: + rm ${HOME}/.cache/gstreamer-1.0/registry.x86_64.bin + + + +### GStreamer debugging +General GStreamer debugging: set debug level on the command line: + ``` + GST_DEBUG= python3 [options] + ``` + + +### Application stuck with no playback +The application appears to be stuck without any playback activity. + One possible cause is incompatible input type. Some of the sample apps only support H264 elementary streams. + + + +### Error on setting string field + ``` + terminate called after throwing an instance of 'pybind11::error_already_set' + what(): TypeError: (): incompatible function arguments. The following argument types are supported: + 1. (arg0: pyds., arg1: str) -> None + + Invoked with: object at 0x7ffa93d2fce0>, + ``` + + This can happen if the string field is being set with another string field, e.g.: + ``` + dstmeta.sensorStr = srcmeta.sensorStr + ``` + + Remember from the String Access section above that reading ```srcmeta.sensorStr``` directly returns an int, not string. + The proper way to copy the string field in this case is: + ``` + dstmeta.sensorStr = pyds.get_string(srcmeta.sensorStr) + ``` + + +### Pipeline unable to perform at real time + WARNING: A lot of buffers are being dropped. (13): gstbasesink.c(2902): + gst_base_sink_is_too_late (): /GstPipeline:pipeline0/GstEglGlesSink:nvvideo-renderer: + There may be a timestamping problem, or this computer is too slow. + + Answer: + This could be thrown from any GStreamer app when the pipeline through-put is low + resulting in late buffers at the sink plugin. + This could be a hardware capability limitation or expensive software calls + that hinder pipeline buffer flow. + With python, there is a possibility for such an induced delay in software. + This is with regards to the probe() callbacks an user could leverage + for metadata extraction and other use-cases as demonstrated in our test-apps. + + Please NOTE: + a) probe() callbacks are synchronous and thus holds the buffer + (info.get_buffer()) from traversing the pipeline until user return. + b) loops inside probe() callback could be costly in python. + diff --git a/HOWTO.md b/HOWTO.md new file mode 100644 index 0000000..5577c78 --- /dev/null +++ b/HOWTO.md @@ -0,0 +1,195 @@ +# How To -- +## Run the Sample Applications +## Write a DeepStream Application in Python + +This guide provides resources for DeepStream application development in Python. + +* [Prerequisites](#prereqs) +* [Running Sample Applications](#run_samples) +* [Pipeline Construction](#pipeline_construction) +* [MetaData Access](#metadata_access) +* [FAQ and Troubleshooting](FAQ.md) + + +## Prerequisites + +* Ubuntu 18.04 +* DeepStream SDK 4.0.1 +* Python 3 +* [Gst Python](https://gstreamer.freedesktop.org/modules/gst-python.html) v1.14.5 + +Gst python should be already installed on Jetson. +If missing, install with the following steps: +``` + $ sudo apt-get install python-gi-dev + $ export GST_LIBS="-lgstreamer-1.0 -lgobject-2.0 -lglib-2.0" + $ export GST_CFLAGS="-pthread -I/usr/include/gstreamer-1.0 -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include" + $ git clone https://github.com/GStreamer/gst-python.git + $ cd gst-python + $ git checkout 1a8f48a + $ ./autogen.sh PYTHON=python3 + $ ./configure PYTHON=python3 + $ make + $ sudo make install +``` + + +## Running Sample Applications + +Download the release package and unpack it under DS 4.0.1 installation: +```tar xf ds_pybind_0.5.tbz2 -C /sources``` + +This will create the following directory: +```/sources/python``` + +The Python apps and bindings are under the "python" directory. +Go into each app directory and follow instructions in the README. + +NOTE: The app configuration files contain relative paths for models. + + +## Pipeline Construction + +DeepStream pipelines can be constructed using Gst Python, the GStreamer framework's Python bindings. +See [sample applications](apps/) main functions for pipeline construction examples. + + +## MetaData Access + +DeepStream MetaData contains inference results and other information used in analytics. The MetaData is attached to the Gst Buffer received by each pipeline component. The metadata format is described in detail in the [SDK MetaData documentation](https://docs.nvidia.com/metropolis/deepstream/plugin-manual/index.html#page/DeepStream_Plugin_Manual%2Fdeepstream_plugin_metadata.03.1.html) and [API Guide](https://docs.nvidia.com/metropolis/deepstream/dev-guide/DeepStream_Development_Guide/baggage/group__NvDsMetaApi.html). + +The SDK MetaData library is developed in C/C++. Python bindings provide access to the MetaData from Python applications. The bindings are provided in a compiled module, available for x86_64 and Jetson platforms. Find them in the release package with the following layout: +``` + bindings + |- x86_64 + | |- pyds.so + |- jetson + |- pyds.so +``` + +Applications can import the module thus: +``` +import sys +sys.path.append('../') # Add path to the bindings directory +# The common/is_aarch64.py module adds the platform-specific path to pyds module +from common.is_aarch64 import is_aarch64 +import pyds +``` + +The bindings generally follow the same API as the underlying C/C++ library, with a few exceptions detailed in sections below. + +#### Memory Management + +Memory for MetaData is shared by the Python and C/C++ code paths. For example, a MetaData item may be added by a probe function written in Python, and needs to be accessed by a downstream plugin written in C/C++. The deepstream-test4 app contains such usage. The Python garbage collector does not have visibility into memory references in C/C++, and therefore cannot safely manage the lifetime of such shared memory. Because of this complication, Python access to MetaData memory is typically achieved via references without claiming ownership. + +#### Allocations + +When MetaData objects are allocated in Python, an allocation function is provided by the bindings to ensure proper memory ownership of the object. If the constructor is used, the the object will be claimed by the garbage collector when its Python references terminate. However, the object will still need to be accessed by C/C++ code downstream, and therefore must persist beyond those Python references. + +Example: +To allocate an NvDsEventMsgMeta instance, use this: +``` +msg_meta = pyds.alloc_nvds_event_msg_meta() # get reference to allocated instance without claiming memory ownership +``` +NOT this: +``` +msg_meta = NvDsEventMsgMeta() # memory will be freed by the garbage collector when msg_meta goes out of scope in Python +``` + +Allocators are available for the following structs: +``` +NvDsVehicleObject: alloc_nvds_vehicle_object() +NvDsPersonObject: alloc_nvds_person_object() +NvDsFaceObject: alloc_nvds_face_object() +NvDsEventMsgMeta: alloc_nvds_event_msg_meta() +NvDsEvent: alloc_nvds_event() +NvDsPayload: alloc_nvds_payload() +Generic buffer: alloc_buffer(size) +``` + +#### String Access + +Some MetaData structures contain string fields. These are accessable in the following manner: + +##### Setting String Fields +Setting a string field results in the allocation of a string buffer in the underlying C++ code. +```obj.type = "Type"``` +This will cause a memory buffer to be allocated, and the string "TYPE" will be copied into it. +This memory is owned by the C code and will be freed later. To free the buffer in Python code, use: +```pyds.free_buffer(obj.type)``` + +##### Reading String Fields +Directly reading a string field returns C address of the field in the form of an int, e.g.: +``` +obj = pyds.glist_get_nvds_vehicle_object(data); +print(obj.type) +``` +This will print an int representing the address of obj.type in C (which is a char*). + +To retrieve the string value of this field, use ```pyds.get_string()```, e.g.: +``` +print(pyds.get_string(obj.type)) +``` + +#### Casting + +Some MetaData instances are stored in GList form. To access the data in a GList node, the data field needs to be cast to the appropriate structure. This casting is done via binding functions: +``` +glist_get_nvds_batch_meta +glist_get_nvds_frame_meta +glist_get_nvds_object_meta +glist_get_nvds_user_met +glist_get_nvds_classifier_meta +glist_get_nvds_display_meta +glist_get_nvds_label_info +glist_get_nvds_event_msg_meta +glist_get_nvds_event_msg_meta +glist_get_nvds_vehicle_object +glist_get_nvds_person_object +``` + +Example: +``` +l_frame = batch_meta.frame_meta_list +frame_meta = pyds.glist_get_nvds_frame_meta(l_frame.data) +``` + +#### Callback Function Registration + +Custom MetaData added to NvDsUserMeta require custom copy and release functions. The MetaData library relies on these custom functions to perform deep-copy of the custom structure, and free allocated resources. These functions are registered as callback function pointers in the NvDsUserMeta structure. + +Callback functions are registered using these functions: +``` +pyds.set_user_copyfunc(NvDsUserMeta_instance, copy_function) +pyds.set_user_releasefunc(NvDsUserMeta_instance, free_func) +``` + +*NOTE*: Callbacks need to be unregistered with the bindings library before the application exits. The bindings library currently keeps global references to the registered functions, and these cannot last beyond bindings library unload which happens at application exit. Use the following function to unregister all callbacks: +```pyds.unset_callback_funcs()``` + +See the deepstream-test4 sample application for an example of callback registration and unregistration. + +Limitation: the bindings library currently only supports a single set of callback functions for each application. The last registered function will be used. + +#### Optimizations and Utilities + +Python interpretation is generally slower than running compiled C/C++ code. To provide better performance, some operations are implemented in C and exposed via the bindings interface. This is currently experimental and will expand over time. + +The following optimized functions are available: + +##### pyds.NvOSD_ColorParams.set(double red, double green, double blue, double alpha) + +This is a simple function that performs the same operations as the following: +``` +txt_params.text_bg_clr.red = red +txt_params.text_bg_clr.green = green +txt_params.text_bg_clr.blue = blue +txt_params.text_bg_clr.alpha = alpha +``` + +These are performend on each object in deepstream_test_4.py, causing the aggregate processing time to slow down the pipeline. Pushing this function into the C layer helps to increase performance. + +##### generate_ts_rfc3339 (buffer, buffer_size) + +This function populates the input buffer with a timestamp generated according to RFC3339: +```%Y-%m-%dT%H:%M:%S.nnnZ\0``` diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..d4cf9b2 --- /dev/null +++ b/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2019 NVIDIA CORPORATION. All rights reserved. + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/README.md b/README.md new file mode 100644 index 0000000..e07b6b8 --- /dev/null +++ b/README.md @@ -0,0 +1,46 @@ +# DeepStream Python Apps + +This repository contains Python bindings and sample applications for the [DeepStream SDK](https://developer.nvidia.com/deepstream-sdk). + +The bindings and apps are currently in *Alpha* at v0.5. API changes are expected in future releases. +SDK version supported: 4.0.1 + +Download the latest release package complete with bindings and sample applications from the release section. + +* [Sample Applications](#sample_applications) +* [MetaData Bindings](#metadata_bindings) + + +## Sample Applications + +Sample applications provided here demonstrate how to work with DeepStream pipelines using Python. +The sample applications require [MetaData Bindings](#metadata_bindings) to work. + +To run the sample applications or write your own, please consult the [HOW-TO Guide](HOWTO.md) + +

+deepstream python app screenshot +

+ +We currently provide four sample applications: +* [deepstream-test1](apps/deepstream-test1) -- 4-class object detection pipeline +* [deepstream-test2](apps/deepstream-test2) -- 4-class object detection, tracking and attribute classification pipeline +* [deepstream-test3](apps/deepstream-test3) -- multi-stream pipeline performing 4-class object detection +* [deepstream-test4](apps/deepstream-test4) -- msgbroker for sending analytics results to the cloud + +These are Python versions of the first four test applications included in the DeepStream SDK. + +Detailed application information is provided in each application's subdirectory under [apps](apps). + + +## Metadata Bindings + +Python bindings are provided for DeepStream MetaData in the form of a compiled module. This module is generated using [Pybind11](https://github.com/pybind/pybind11). + +

+bindings pipeline +

+ +These bindings support a Python interface to the MetaData structures and functions. Usage of this interface is documented in the [HOW-TO Guide](HOWTO.md) and demonstrated in the sample applications. +The current bindings are limited to the [NvDsBatchMeta](https://docs.nvidia.com/metropolis/deepstream/plugin-manual/index.html#page/DeepStream_Plugin_Manual%2Fdeepstream_plugin_metadata.03.2.html%23) hierarchy. Image data access is currently not included. + diff --git a/apps/README b/apps/README new file mode 100644 index 0000000..75e4cf9 --- /dev/null +++ b/apps/README @@ -0,0 +1,98 @@ +################################################################################ +# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved. +# +# Permission is hereby granted, free of charge, to any person obtaining a +# copy of this software and associated documentation files (the "Software"), +# to deal in the Software without restriction, including without limitation +# the rights to use, copy, modify, merge, publish, distribute, sublicense, +# and/or sell copies of the Software, and to permit persons to whom the +# Software is furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in +# all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL +# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER +# DEALINGS IN THE SOFTWARE. +################################################################################ + +================================================================================ +DeepStream SDK Python Bindings +================================================================================ +Setup pre-requisites: +- Ubuntu 18.04 +- DeepStream SDK 4.0.1 +- Python 3 +- Gst-python + +-------------------------------------------------------------------------------- +Package Contents +-------------------------------------------------------------------------------- +The DeepStream Python package includes: +1. Python bindings for DeepStream Metadata libraries + These bindings are provided as a compiled module, available for + x86_64 and Jetson platforms. Find them at: + bindings + |- x86_64 + | |- pyds.so + |- jetson + |- pyds.so +2. DeepStream test apps in Python + Four test apps are available: + deepstream-test1/deepstream_test_1.py + deepstream-test2/deepstream_test_2.py + deepstream-test3/deepstream_test_3.py + deepstream-test3/deepstream_test_4.py + +-------------------------------------------------------------------------------- +Installing Pre-requisites: +-------------------------------------------------------------------------------- + +DeepStream SDK 4.0.1 +-------------------- +Download and install from https://developer.nvidia.com/deepstream-download + +Python 3 +---------- +Should be already installed with Ubuntu 18.04 + +Gst-python +---------- +Should be already installed on Jetson +If missing, install with the following steps: + $ sudo apt-get install python-gi-dev + $ export GST_LIBS="-lgstreamer-1.0 -lgobject-2.0 -lglib-2.0" + $ export GST_CFLAGS="-pthread -I/usr/include/gstreamer-1.0 -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include" + $ git clone https://github.com/GStreamer/gst-python.git + $ cd gst-python + $ git checkout 1a8f48a + $ ./autogen.sh PYTHON=python3 + $ ./configure PYTHON=python3 + $ make + $ sudo make install + +-------------------------------------------------------------------------------- +Running the samples +-------------------------------------------------------------------------------- +The apps are configured to work from inside the DeepStream SDK 4.0.1 installation. +Untar the contents into /sources/. + +Note that the apps import the pyds module from this relative path: +../bindings/ + +Follow README in each app's directory to run the app. + +Example: running test1 app: +$ cd deepstream-test1 +$ python3 deepstream_test_1.py + +-------------------------------------------------------------------------------- +Notes: +-------------------------------------------------------------------------------- +As with DeepStream SDK, if the application runs into errors, cannot create gst elements, +try again after removing gstreamer cache + rm ${HOME}/.cache/gstreamer-1.0/registry.x86_64.bin diff --git a/apps/common/FPS.py b/apps/common/FPS.py new file mode 100644 index 0000000..6d3bbe3 --- /dev/null +++ b/apps/common/FPS.py @@ -0,0 +1,28 @@ +import time +start_time=time.time() +frame_count=0 + +class GETFPS: + def __init__(self,stream_id): + global start_time + self.start_time=start_time + self.is_first=True + global frame_count + self.frame_count=frame_count + self.stream_id=stream_id + def get_fps(self): + end_time=time.time() + if(self.is_first): + self.start_time=end_time + self.is_first=False + if(end_time-self.start_time>5): + print("**********************FPS*****************************************") + print("Fps of stream",self.stream_id,"is ", float(self.frame_count)/5.0) + self.frame_count=0 + self.start_time=end_time + else: + self.frame_count=self.frame_count+1 + def print_data(self): + print('frame_count=',self.frame_count) + print('start_time=',self.start_time) + diff --git a/apps/common/__init__.py b/apps/common/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/apps/common/bus_call.py b/apps/common/bus_call.py new file mode 100644 index 0000000..609132e --- /dev/null +++ b/apps/common/bus_call.py @@ -0,0 +1,17 @@ +import gi +import sys +gi.require_version('Gst', '1.0') +from gi.repository import GObject, Gst +def bus_call(bus, message, loop): + t = message.type + if t == Gst.MessageType.EOS: + sys.stdout.write("End-of-stream\n") + loop.quit() + elif t==Gst.MessageType.WARNING: + err, debug = message.parse_warning() + sys.stderr.write("Warning: %s: %s\n" % (err, debug)) + elif t == Gst.MessageType.ERROR: + err, debug = message.parse_error() + sys.stderr.write("Error: %s: %s\n" % (err, debug)) + loop.quit() + return True diff --git a/apps/common/is_aarch_64.py b/apps/common/is_aarch_64.py new file mode 100644 index 0000000..014f85d --- /dev/null +++ b/apps/common/is_aarch_64.py @@ -0,0 +1,14 @@ +import platform +import sys +def is_aarch64(): + machine = platform.uname()[4] + if machine in ['aarch64']: + return True + else: + return False + +if is_aarch64(): + sys.path.append('../../bindings/jetson') +else: + sys.path.append('../../bindings/x86_64') + diff --git a/apps/common/utils.py b/apps/common/utils.py new file mode 100644 index 0000000..7a97d69 --- /dev/null +++ b/apps/common/utils.py @@ -0,0 +1,5 @@ +import ctypes + +def long_to_int(l): + value = ctypes.c_int(l & 0xffffffff).value + return value diff --git a/apps/deepstream-test1/README b/apps/deepstream-test1/README new file mode 100644 index 0000000..2653fd8 --- /dev/null +++ b/apps/deepstream-test1/README @@ -0,0 +1,54 @@ +################################################################################ +# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved. +# +# Permission is hereby granted, free of charge, to any person obtaining a +# copy of this software and associated documentation files (the "Software"), +# to deal in the Software without restriction, including without limitation +# the rights to use, copy, modify, merge, publish, distribute, sublicense, +# and/or sell copies of the Software, and to permit persons to whom the +# Software is furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in +# all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL +# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER +# DEALINGS IN THE SOFTWARE. +################################################################################ + +Prequisites: +- DeepStreamSDK 4.0.1 +- Python 3 +- Gst-python + +To run the test app: + $ python3 deepstream_test_1.py + +This document shall describe about the sample deepstream-test1 application. + +It is meant for simple demonstration of how to use the various DeepStream SDK +elements in the pipeline and extract meaningful insights from a video stream. + +This sample creates instance of "nvinfer" element. Instance of +the "nvinfer" uses TensorRT API to execute inferencing on a model. Using a +correct configuration for a nvinfer element instance is therefore very +important as considerable behaviors of the instance are parameterized +through these configs. + +For reference, here are the config files used for this sample : +1. The 4-class detector (referred to as pgie in this sample) uses + dstest1_pgie_config.txt + +In this sample, we first create one instance of "nvinfer", referred as the pgie. +This is our 4 class detector and it detects for "Vehicle , RoadSign, TwoWheeler, +Person". +nvinfer element attach some MetaData to the buffer. By attaching +the probe function at the end of the pipeline, one can extract meaningful +information from this inference. Please refer the "osd_sink_pad_buffer_probe" +function in the sample code. For details on the Metadata format, refer to the +file "gstnvdsmeta.h" + diff --git a/apps/deepstream-test1/deepstream_test_1.py b/apps/deepstream-test1/deepstream_test_1.py new file mode 100644 index 0000000..fbcd098 --- /dev/null +++ b/apps/deepstream-test1/deepstream_test_1.py @@ -0,0 +1,264 @@ +################################################################################ +# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved. +# +# Permission is hereby granted, free of charge, to any person obtaining a +# copy of this software and associated documentation files (the "Software"), +# to deal in the Software without restriction, including without limitation +# the rights to use, copy, modify, merge, publish, distribute, sublicense, +# and/or sell copies of the Software, and to permit persons to whom the +# Software is furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in +# all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL +# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER +# DEALINGS IN THE SOFTWARE. +################################################################################ + +#!/usr/bin/env python + +import sys +sys.path.append('../') +import gi +gi.require_version('Gst', '1.0') +from gi.repository import GObject, Gst +from common.is_aarch_64 import is_aarch64 +from common.bus_call import bus_call + +import pyds + +PGIE_CLASS_ID_VEHICLE = 0 +PGIE_CLASS_ID_BICYCLE = 1 +PGIE_CLASS_ID_PERSON = 2 +PGIE_CLASS_ID_ROADSIGN = 3 + + +def osd_sink_pad_buffer_probe(pad,info,u_data): + frame_number=0 + #Intiallizing object counter with 0. + obj_counter = { + PGIE_CLASS_ID_VEHICLE:0, + PGIE_CLASS_ID_PERSON:0, + PGIE_CLASS_ID_BICYCLE:0, + PGIE_CLASS_ID_ROADSIGN:0 + } + num_rects=0 + + gst_buffer = info.get_buffer() + if not gst_buffer: + print("Unable to get GstBuffer ") + return + + # Retrieve batch metadata from the gst_buffer + # Note that pyds.gst_buffer_get_nvds_batch_meta() expects the + # C address of gst_buffer as input, which is obtained with hash(gst_buffer) + batch_meta = pyds.gst_buffer_get_nvds_batch_meta(hash(gst_buffer)) + l_frame = batch_meta.frame_meta_list + while l_frame is not None: + try: + # Note that l_frame.data needs a cast to pyds.NvDsFrameMeta + # The casting is done by pyds.glist_get_nvds_frame_meta() + # The casting also keeps ownership of the underlying memory + # in the C code, so the Python garbage collector will leave + # it alone. + frame_meta = pyds.glist_get_nvds_frame_meta(l_frame.data) + except StopIteration: + break + + frame_number=frame_meta.frame_num + num_rects = frame_meta.num_obj_meta + l_obj=frame_meta.obj_meta_list + while l_obj is not None: + try: + # Casting l_obj.data to pyds.NvDsObjectMeta + obj_meta=pyds.glist_get_nvds_object_meta(l_obj.data) + except StopIteration: + break + obj_counter[obj_meta.class_id] += 1 + try: + l_obj=l_obj.next + except StopIteration: + break + + # Acquiring a display meta object. The memory ownership remains in + # the C code so downstream plugins can still access it. Otherwise + # the garbage collector will claim it when this probe function exits. + display_meta=pyds.nvds_acquire_display_meta_from_pool(batch_meta) + display_meta.num_labels = 1 + py_nvosd_text_params = display_meta.text_params[0] + # Setting display text to be shown on screen + # Note that the pyds module allocates a buffer for the string, and the + # memory will not be claimed by the garbage collector. + # Reading the display_text field here will return the C address of the + # allocated string. Use pyds.get_string() to get the string content. + py_nvosd_text_params.display_text = "Frame Number={} Number of Objects={} Vehicle_count={} Person_count={}".format(frame_number, num_rects, obj_counter[PGIE_CLASS_ID_VEHICLE], obj_counter[PGIE_CLASS_ID_PERSON]) + + # Now set the offsets where the string should appear + py_nvosd_text_params.x_offset = 10 + py_nvosd_text_params.y_offset = 12 + + # Font , font-color and font-size + py_nvosd_text_params.font_params.font_name = "Serif" + py_nvosd_text_params.font_params.font_size = 10 + # set(red, green, blue, alpha); set to White + py_nvosd_text_params.font_params.font_color.set(1.0, 1.0, 1.0, 1.0) + + # Text background color + py_nvosd_text_params.set_bg_clr = 1 + # set(red, green, blue, alpha); set to Black + py_nvosd_text_params.text_bg_clr.set(0.0, 0.0, 0.0, 1.0) + # Using pyds.get_string() to get display_text as string + print(pyds.get_string(py_nvosd_text_params.display_text)) + pyds.nvds_add_display_meta_to_frame(frame_meta, display_meta) + try: + l_frame=l_frame.next + except StopIteration: + break + + return Gst.PadProbeReturn.OK + + +def main(args): + # Check input arguments + if len(args) != 2: + sys.stderr.write("usage: %s \n" % args[0]) + sys.exit(1) + + # Standard GStreamer initialization + GObject.threads_init() + Gst.init(None) + + # Create gstreamer elements + # Create Pipeline element that will form a connection of other elements + print("Creating Pipeline \n ") + pipeline = Gst.Pipeline() + + if not pipeline: + sys.stderr.write(" Unable to create Pipeline \n") + + # Source element for reading from the file + print("Creating Source \n ") + source = Gst.ElementFactory.make("filesrc", "file-source") + if not source: + sys.stderr.write(" Unable to create Source \n") + + # Since the data format in the input file is elementary h264 stream, + # we need a h264parser + print("Creating H264Parser \n") + h264parser = Gst.ElementFactory.make("h264parse", "h264-parser") + if not h264parser: + sys.stderr.write(" Unable to create h264 parser \n") + + # Use nvdec_h264 for hardware accelerated decode on GPU + print("Creating Decoder \n") + decoder = Gst.ElementFactory.make("nvv4l2decoder", "nvv4l2-decoder") + if not decoder: + sys.stderr.write(" Unable to create Nvv4l2 Decoder \n") + + # Create nvstreammux instance to form batches from one or more sources. + streammux = Gst.ElementFactory.make("nvstreammux", "Stream-muxer") + if not streammux: + sys.stderr.write(" Unable to create NvStreamMux \n") + + # Use nvinfer to run inferencing on decoder's output, + # behaviour of inferencing is set through config file + pgie = Gst.ElementFactory.make("nvinfer", "primary-inference") + if not pgie: + sys.stderr.write(" Unable to create pgie \n") + + # Use convertor to convert from NV12 to RGBA as required by nvosd + nvvidconv = Gst.ElementFactory.make("nvvideoconvert", "convertor") + if not nvvidconv: + sys.stderr.write(" Unable to create nvvidconv \n") + + # Create OSD to draw on the converted RGBA buffer + nvosd = Gst.ElementFactory.make("nvdsosd", "onscreendisplay") + + if not nvosd: + sys.stderr.write(" Unable to create nvosd \n") + + # Finally render the osd output + if is_aarch64(): + transform = Gst.ElementFactory.make("nvegltransform", "nvegl-transform") + + print("Creating EGLSink \n") + sink = Gst.ElementFactory.make("nveglglessink", "nvvideo-renderer") + if not sink: + sys.stderr.write(" Unable to create egl sink \n") + + print("Playing file %s " %args[1]) + source.set_property('location', args[1]) + streammux.set_property('width', 1920) + streammux.set_property('height', 1080) + streammux.set_property('batch-size', 1) + streammux.set_property('batched-push-timeout', 4000000) + pgie.set_property('config-file-path', "dstest1_pgie_config.txt") + + print("Adding elements to Pipeline \n") + pipeline.add(source) + pipeline.add(h264parser) + pipeline.add(decoder) + pipeline.add(streammux) + pipeline.add(pgie) + pipeline.add(nvvidconv) + pipeline.add(nvosd) + pipeline.add(sink) + if is_aarch64(): + pipeline.add(transform) + + # we link the elements together + # file-source -> h264-parser -> nvh264-decoder -> + # nvinfer -> nvvidconv -> nvosd -> video-renderer + print("Linking elements in the Pipeline \n") + source.link(h264parser) + h264parser.link(decoder) + + sinkpad = streammux.get_request_pad("sink_0") + if not sinkpad: + sys.stderr.write(" Unable to get the sink pad of streammux \n") + srcpad = decoder.get_static_pad("src") + if not srcpad: + sys.stderr.write(" Unable to get source pad of decoder \n") + srcpad.link(sinkpad) + streammux.link(pgie) + pgie.link(nvvidconv) + nvvidconv.link(nvosd) + if is_aarch64(): + nvosd.link(transform) + transform.link(sink) + else: + nvosd.link(sink) + + # create an event loop and feed gstreamer bus mesages to it + loop = GObject.MainLoop() + bus = pipeline.get_bus() + bus.add_signal_watch() + bus.connect ("message", bus_call, loop) + + # Lets add probe to get informed of the meta data generated, we add probe to + # the sink pad of the osd element, since by that time, the buffer would have + # had got all the metadata. + osdsinkpad = nvosd.get_static_pad("sink") + if not osdsinkpad: + sys.stderr.write(" Unable to get sink pad of nvosd \n") + + osdsinkpad.add_probe(Gst.PadProbeType.BUFFER, osd_sink_pad_buffer_probe, 0) + + # start play back and listen to events + print("Starting pipeline \n") + pipeline.set_state(Gst.State.PLAYING) + try: + loop.run() + except: + pass + # cleanup + pipeline.set_state(Gst.State.NULL) + +if __name__ == '__main__': + sys.exit(main(sys.argv)) + diff --git a/apps/deepstream-test1/dstest1_pgie_config.txt b/apps/deepstream-test1/dstest1_pgie_config.txt new file mode 100644 index 0000000..708b8f1 --- /dev/null +++ b/apps/deepstream-test1/dstest1_pgie_config.txt @@ -0,0 +1,77 @@ +################################################################################ +# Copyright (c) 2018-2019, NVIDIA CORPORATION. All rights reserved. +# +# Permission is hereby granted, free of charge, to any person obtaining a +# copy of this software and associated documentation files (the "Software"), +# to deal in the Software without restriction, including without limitation +# the rights to use, copy, modify, merge, publish, distribute, sublicense, +# and/or sell copies of the Software, and to permit persons to whom the +# Software is furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in +# all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL +# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER +# DEALINGS IN THE SOFTWARE. +################################################################################ + +# Following properties are mandatory when engine files are not specified: +# int8-calib-file(Only in INT8) +# Caffemodel mandatory properties: model-file, proto-file, output-blob-names +# UFF: uff-file, input-dims, uff-input-blob-name, output-blob-names +# ONNX: onnx-file +# +# Mandatory properties for detectors: +# num-detected-classes +# +# Optional properties for detectors: +# enable-dbscan(Default=false), interval(Primary mode only, Default=0) +# custom-lib-path, +# parse-bbox-func-name +# +# Mandatory properties for classifiers: +# classifier-threshold, is-classifier +# +# Optional properties for classifiers: +# classifier-async-mode(Secondary mode only, Default=false) +# +# Optional properties in secondary mode: +# operate-on-gie-id(Default=0), operate-on-class-ids(Defaults to all classes), +# input-object-min-width, input-object-min-height, input-object-max-width, +# input-object-max-height +# +# Following properties are always recommended: +# batch-size(Default=1) +# +# Other optional properties: +# net-scale-factor(Default=1), network-mode(Default=0 i.e FP32), +# model-color-format(Default=0 i.e. RGB) model-engine-file, labelfile-path, +# mean-file, gie-unique-id(Default=0), offsets, gie-mode (Default=1 i.e. primary), +# custom-lib-path, network-mode(Default=0 i.e FP32) +# +# The values in the config file are overridden by values set through GObject +# properties. + +[property] +gpu-id=0 +net-scale-factor=0.0039215697906911373 +model-file=../../../../samples/models/Primary_Detector/resnet10.caffemodel +proto-file=../../../../samples/models/Primary_Detector/resnet10.prototxt +labelfile-path=../../../../samples/models/Primary_Detector/labels.txt +int8-calib-file=../../../../samples/models/Primary_Detector/cal_trt.bin +batch-size=1 +network-mode=1 +num-detected-classes=4 +interval=0 +gie-unique-id=1 +output-blob-names=conv2d_bbox;conv2d_cov/Sigmoid + +[class-attrs-all] +threshold=0.2 +eps=0.2 +group-threshold=1 diff --git a/apps/deepstream-test2/README b/apps/deepstream-test2/README new file mode 100644 index 0000000..7fa59fc --- /dev/null +++ b/apps/deepstream-test2/README @@ -0,0 +1,63 @@ +################################################################################ +# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved. +# +# Permission is hereby granted, free of charge, to any person obtaining a +# copy of this software and associated documentation files (the "Software"), +# to deal in the Software without restriction, including without limitation +# the rights to use, copy, modify, merge, publish, distribute, sublicense, +# and/or sell copies of the Software, and to permit persons to whom the +# Software is furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in +# all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL +# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER +# DEALINGS IN THE SOFTWARE. +################################################################################ + +Prequisites: +- DeepStreamSDK 4.0.1 +- Python 3 +- Gst-python + +To run the test app: + $ python3 deepstream_test_2.py + +This document shall describe about the sample deepstream-test2 application. + +It is meant for simple demonstration of how to use the various DeepStream SDK +elements in the pipeline and extract meaningful insights from a video stream. + +This sample creates multiple instances of "nvinfer" element. Each instance of +the "nvinfer" uses TensorRT API to infer on frames/objects. Every +instance is configured through its respective config file. Using a correct +configuration for a nvinfer element instance is therefore very important as +considerable behaviors of the instance are parameterized through these configs. + +For reference, here are the config files used for this sample : +1. The 4-class detector (referred to as pgie in this sample) uses + dstest2_pgie_config.txt +2. The vehicle color classifier (referred to as sgie1 in this sample) uses + dstest2_sgie1_config.txt +3. The vehicle make classifier (referred to as sgie2 in this sample) uses + dstest2_sgie2_config.txt +4. The vehicle type classifier (referred to as sgie3 in this sample) uses + dstest2_sgie3_config.txt +5. The tracker (referred to as nvtracker in this sample) uses + dstest2_tracker_config.txt + +In this sample, we first create one instance of "nvinfer", referred as the pgie. +This is our 4 class detector and it detects for "Vehicle , RoadSign, TwoWheeler, +Person". After this we link a "nvtracker" instance which tracks the objects +detected by the pgie. After this we create 3 more instances of "nvinfer" +referred to as sgie1, sgie2, sgie3 respectively. +Each of the nvinfer elements attach some MetaData to the buffer. By attaching +the probe function at the end of the pipeline, one can extract meaningful +information from these inferences. Please refer the "osd_sink_pad_buffer_probe" +function in the sample code. For details on the Metadata format, refer to the +file "gstnvdsmeta.h" diff --git a/apps/deepstream-test2/deepstream_test_2.py b/apps/deepstream-test2/deepstream_test_2.py new file mode 100644 index 0000000..0ef6eba --- /dev/null +++ b/apps/deepstream-test2/deepstream_test_2.py @@ -0,0 +1,321 @@ +################################################################################ +# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved. +# +# Permission is hereby granted, free of charge, to any person obtaining a +# copy of this software and associated documentation files (the "Software"), +# to deal in the Software without restriction, including without limitation +# the rights to use, copy, modify, merge, publish, distribute, sublicense, +# and/or sell copies of the Software, and to permit persons to whom the +# Software is furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in +# all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL +# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER +# DEALINGS IN THE SOFTWARE. +################################################################################ + +#!/usr/bin/env python + +import sys +sys.path.append('../') +import platform +import configparser + +import gi +gi.require_version('Gst', '1.0') +from gi.repository import GObject, Gst +from common.is_aarch_64 import is_aarch64 +from common.bus_call import bus_call + +import pyds + +PGIE_CLASS_ID_VEHICLE = 0 +PGIE_CLASS_ID_BICYCLE = 1 +PGIE_CLASS_ID_PERSON = 2 +PGIE_CLASS_ID_ROADSIGN = 3 + +def osd_sink_pad_buffer_probe(pad,info,u_data): + frame_number=0 + #Intiallizing object counter with 0. + obj_counter = { + PGIE_CLASS_ID_VEHICLE:0, + PGIE_CLASS_ID_PERSON:0, + PGIE_CLASS_ID_BICYCLE:0, + PGIE_CLASS_ID_ROADSIGN:0 + } + num_rects=0 + gst_buffer = info.get_buffer() + if not gst_buffer: + print("Unable to get GstBuffer ") + return + + # Retrieve batch metadata from the gst_buffer + # Note that pyds.gst_buffer_get_nvds_batch_meta() expects the + # C address of gst_buffer as input, which is obtained with hash(gst_buffer) + batch_meta = pyds.gst_buffer_get_nvds_batch_meta(hash(gst_buffer)) + l_frame = batch_meta.frame_meta_list + while l_frame is not None: + try: + # Note that l_frame.data needs a cast to pyds.NvDsFrameMeta + # The casting is done by pyds.glist_get_nvds_frame_meta() + # The casting also keeps ownership of the underlying memory + # in the C code, so the Python garbage collector will leave + # it alone. + frame_meta = pyds.glist_get_nvds_frame_meta(l_frame.data) + except StopIteration: + break + + frame_number=frame_meta.frame_num + num_rects = frame_meta.num_obj_meta + l_obj=frame_meta.obj_meta_list + while l_obj is not None: + try: + # Casting l_obj.data to pyds.NvDsObjectMeta + obj_meta=pyds.glist_get_nvds_object_meta(l_obj.data) + except StopIteration: + break + obj_counter[obj_meta.class_id] += 1 + try: + l_obj=l_obj.next + except StopIteration: + break + + # Acquiring a display meta object. The memory ownership remains in + # the C code so downstream plugins can still access it. Otherwise + # the garbage collector will claim it when this probe function exits. + display_meta=pyds.nvds_acquire_display_meta_from_pool(batch_meta) + display_meta.num_labels = 1 + py_nvosd_text_params = display_meta.text_params[0] + # Setting display text to be shown on screen + # Note that the pyds module allocates a buffer for the string, and the + # memory will not be claimed by the garbage collector. + # Reading the display_text field here will return the C address of the + # allocated string. Use pyds.get_string() to get the string content. + py_nvosd_text_params.display_text = "Frame Number={} Number of Objects={} Vehicle_count={} Person_count={}".format(frame_number, num_rects, obj_counter[PGIE_CLASS_ID_VEHICLE], obj_counter[PGIE_CLASS_ID_PERSON]) + + # Now set the offsets where the string should appear + py_nvosd_text_params.x_offset = 10 + py_nvosd_text_params.y_offset = 12 + + # Font , font-color and font-size + py_nvosd_text_params.font_params.font_name = "Serif" + py_nvosd_text_params.font_params.font_size = 10 + # set(red, green, blue, alpha); set to White + py_nvosd_text_params.font_params.font_color.set(1.0, 1.0, 1.0, 1.0) + + # Text background color + py_nvosd_text_params.set_bg_clr = 1 + # set(red, green, blue, alpha); set to Black + py_nvosd_text_params.text_bg_clr.set(0.0, 0.0, 0.0, 1.0) + # Using pyds.get_string() to get display_text as string + print(pyds.get_string(py_nvosd_text_params.display_text)) + pyds.nvds_add_display_meta_to_frame(frame_meta, display_meta) + try: + l_frame=l_frame.next + except StopIteration: + break + return Gst.PadProbeReturn.OK + +def main(args): + # Check input arguments + if len(args) != 2: + sys.stderr.write("usage: %s \n" % args[0]) + sys.exit(1) + + # Standard GStreamer initialization + GObject.threads_init() + Gst.init(None) + + # Create gstreamer elements + # Create Pipeline element that will form a connection of other elements + print("Creating Pipeline \n ") + pipeline = Gst.Pipeline() + + if not pipeline: + sys.stderr.write(" Unable to create Pipeline \n") + + # Source element for reading from the file + print("Creating Source \n ") + source = Gst.ElementFactory.make("filesrc", "file-source") + if not source: + sys.stderr.write(" Unable to create Source \n") + + # Since the data format in the input file is elementary h264 stream, + # we need a h264parser + print("Creating H264Parser \n") + h264parser = Gst.ElementFactory.make("h264parse", "h264-parser") + if not h264parser: + sys.stderr.write(" Unable to create h264 parser \n") + + # Use nvdec_h264 for hardware accelerated decode on GPU + print("Creating Decoder \n") + decoder = Gst.ElementFactory.make("nvv4l2decoder", "nvv4l2-decoder") + if not decoder: + sys.stderr.write(" Unable to create Nvv4l2 Decoder \n") + + # Create nvstreammux instance to form batches from one or more sources. + streammux = Gst.ElementFactory.make("nvstreammux", "Stream-muxer") + if not streammux: + sys.stderr.write(" Unable to create NvStreamMux \n") + + # Use nvinfer to run inferencing on decoder's output, + # behaviour of inferencing is set through config file + pgie = Gst.ElementFactory.make("nvinfer", "primary-inference") + if not pgie: + sys.stderr.write(" Unable to create pgie \n") + + tracker = Gst.ElementFactory.make("nvtracker", "tracker") + if not tracker: + sys.stderr.write(" Unable to create tracker \n") + + sgie1 = Gst.ElementFactory.make("nvinfer", "secondary1-nvinference-engine") + if not sgie1: + sys.stderr.write(" Unable to make sgie1 \n") + + + sgie2 = Gst.ElementFactory.make("nvinfer", "secondary2-nvinference-engine") + if not sgie1: + sys.stderr.write(" Unable to make sgie2 \n") + + sgie3 = Gst.ElementFactory.make("nvinfer", "secondary3-nvinference-engine") + if not sgie3: + sys.stderr.write(" Unable to make sgie3 \n") + + nvvidconv = Gst.ElementFactory.make("nvvideoconvert", "convertor") + if not nvvidconv: + sys.stderr.write(" Unable to create nvvidconv \n") + + # Create OSD to draw on the converted RGBA buffer + nvosd = Gst.ElementFactory.make("nvdsosd", "onscreendisplay") + + if not nvosd: + sys.stderr.write(" Unable to create nvosd \n") + + # Finally render the osd output + if is_aarch64(): + transform = Gst.ElementFactory.make("nvegltransform", "nvegl-transform") + + print("Creating EGLSink \n") + sink = Gst.ElementFactory.make("nveglglessink", "nvvideo-renderer") + if not sink: + sys.stderr.write(" Unable to create egl sink \n") + + print("Playing file %s " %args[1]) + source.set_property('location', args[1]) + streammux.set_property('width', 1920) + streammux.set_property('height', 1080) + streammux.set_property('batch-size', 1) + streammux.set_property('batched-push-timeout', 4000000) + + #Set properties of pgie and sgie + pgie.set_property('config-file-path', "dstest2_pgie_config.txt") + sgie1.set_property('config-file-path', "dstest2_sgie1_config.txt") + sgie2.set_property('config-file-path', "dstest2_sgie2_config.txt") + sgie3.set_property('config-file-path', "dstest2_sgie3_config.txt") + + #Set properties of tracker + config = configparser.ConfigParser() + config.read('dstest2_tracker_config.txt') + config.sections() + + for key in config['tracker']: + if key == 'tracker-width' : + tracker_width = config.getint('tracker', key) + tracker.set_property('tracker-width', tracker_width) + if key == 'tracker-height' : + tracker_height = config.getint('tracker', key) + tracker.set_property('tracker-height', tracker_height) + if key == 'gpu-id' : + tracker_gpu_id = config.getint('tracker', key) + tracker.set_property('gpu_id', tracker_gpu_id) + if key == 'll-lib-file' : + tracker_ll_lib_file = config.get('tracker', key) + tracker.set_property('ll-lib-file', tracker_ll_lib_file) + if key == 'll-config-file' : + tracker_ll_config_file = config.get('tracker', key) + tracker.set_property('ll-config-file', tracker_ll_config_file) + if key == 'enable-batch-process' : + tracker_enable_batch_process = config.getint('tracker', key) + tracker.set_property('enable_batch_process', tracker_enable_batch_process) + + print("Adding elements to Pipeline \n") + pipeline.add(source) + pipeline.add(h264parser) + pipeline.add(decoder) + pipeline.add(streammux) + pipeline.add(pgie) + pipeline.add(tracker) + pipeline.add(sgie1) + pipeline.add(sgie2) + pipeline.add(sgie3) + pipeline.add(nvvidconv) + pipeline.add(nvosd) + pipeline.add(sink) + if is_aarch64(): + pipeline.add(transform) + + # we link the elements together + # file-source -> h264-parser -> nvh264-decoder -> + # nvinfer -> nvvidconv -> nvosd -> video-renderer + print("Linking elements in the Pipeline \n") + source.link(h264parser) + h264parser.link(decoder) + + sinkpad = streammux.get_request_pad("sink_0") + if not sinkpad: + sys.stderr.write(" Unable to get the sink pad of streammux \n") + srcpad = decoder.get_static_pad("src") + if not srcpad: + sys.stderr.write(" Unable to get source pad of decoder \n") + srcpad.link(sinkpad) + streammux.link(pgie) + pgie.link(tracker) + tracker.link(sgie1) + sgie1.link(sgie2) + sgie2.link(sgie3) + sgie3.link(nvvidconv) + nvvidconv.link(nvosd) + if is_aarch64(): + nvosd.link(transform) + transform.link(sink) + else: + nvosd.link(sink) + + + # create and event loop and feed gstreamer bus mesages to it + loop = GObject.MainLoop() + + bus = pipeline.get_bus() + bus.add_signal_watch() + bus.connect ("message", bus_call, loop) + + # Lets add probe to get informed of the meta data generated, we add probe to + # the sink pad of the osd element, since by that time, the buffer would have + # had got all the metadata. + osdsinkpad = nvosd.get_static_pad("sink") + if not osdsinkpad: + sys.stderr.write(" Unable to get sink pad of nvosd \n") + osdsinkpad.add_probe(Gst.PadProbeType.BUFFER, osd_sink_pad_buffer_probe, 0) + + + print("Starting pipeline \n") + + # start play back and listed to events + pipeline.set_state(Gst.State.PLAYING) + try: + loop.run() + except: + pass + + # cleanup + pipeline.set_state(Gst.State.NULL) + +if __name__ == '__main__': + sys.exit(main(sys.argv)) + diff --git a/apps/deepstream-test2/dstest2_pgie_config.txt b/apps/deepstream-test2/dstest2_pgie_config.txt new file mode 100644 index 0000000..72adff1 --- /dev/null +++ b/apps/deepstream-test2/dstest2_pgie_config.txt @@ -0,0 +1,79 @@ +################################################################################ +# Copyright (c) 2018-2019, NVIDIA CORPORATION. All rights reserved. +# +# Permission is hereby granted, free of charge, to any person obtaining a +# copy of this software and associated documentation files (the "Software"), +# to deal in the Software without restriction, including without limitation +# the rights to use, copy, modify, merge, publish, distribute, sublicense, +# and/or sell copies of the Software, and to permit persons to whom the +# Software is furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in +# all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL +# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER +# DEALINGS IN THE SOFTWARE. +################################################################################ + +# Following properties are mandatory when engine files are not specified: +# int8-calib-file(Only in INT8) +# Caffemodel mandatory properties: model-file, proto-file, output-blob-names +# UFF: uff-file, input-dims, uff-input-blob-name, output-blob-names +# ONNX: onnx-file +# +# Mandatory properties for detectors: +# num-detected-classes +# +# Optional properties for detectors: +# enable-dbscan(Default=false), interval(Primary mode only, Default=0) +# custom-lib-path, +# parse-bbox-func-name +# +# Mandatory properties for classifiers: +# classifier-threshold, is-classifier +# +# Optional properties for classifiers: +# classifier-async-mode(Secondary mode only, Default=false) +# +# Optional properties in secondary mode: +# operate-on-gie-id(Default=0), operate-on-class-ids(Defaults to all classes), +# input-object-min-width, input-object-min-height, input-object-max-width, +# input-object-max-height +# +# Following properties are always recommended: +# batch-size(Default=1) +# +# Other optional properties: +# net-scale-factor(Default=1), network-mode(Default=0 i.e FP32), +# model-color-format(Default=0 i.e. RGB) model-engine-file, labelfile-path, +# mean-file, gie-unique-id(Default=0), offsets, gie-mode (Default=1 i.e. primary), +# custom-lib-path, network-mode(Default=0 i.e FP32) +# +# The values in the config file are overridden by values set through GObject +# properties. + +[property] +gpu-id=0 +net-scale-factor=0.0039215697906911373 +model-file=../../../../samples/models/Primary_Detector/resnet10.caffemodel +proto-file=../../../../samples/models/Primary_Detector/resnet10.prototxt +labelfile-path=../../../../samples/models/Primary_Detector/labels.txt +int8-calib-file=../../../../samples/models/Primary_Detector/cal_trt.bin +batch-size=1 +network-mode=1 +process-mode=1 +model-color-format=0 +num-detected-classes=4 +interval=0 +gie-unique-id=1 +output-blob-names=conv2d_bbox;conv2d_cov/Sigmoid + +[class-attrs-all] +threshold=0.2 +eps=0.2 +group-threshold=1 diff --git a/apps/deepstream-test2/dstest2_sgie1_config.txt b/apps/deepstream-test2/dstest2_sgie1_config.txt new file mode 100644 index 0000000..1a03338 --- /dev/null +++ b/apps/deepstream-test2/dstest2_sgie1_config.txt @@ -0,0 +1,83 @@ +################################################################################ +# Copyright (c) 2018-2019, NVIDIA CORPORATION. All rights reserved. +# +# Permission is hereby granted, free of charge, to any person obtaining a +# copy of this software and associated documentation files (the "Software"), +# to deal in the Software without restriction, including without limitation +# the rights to use, copy, modify, merge, publish, distribute, sublicense, +# and/or sell copies of the Software, and to permit persons to whom the +# Software is furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in +# all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL +# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER +# DEALINGS IN THE SOFTWARE. +################################################################################ + +# Following properties are mandatory when engine files are not specified: +# int8-calib-file(Only in INT8) +# Caffemodel mandatory properties: model-file, proto-file, output-blob-names +# UFF: uff-file, input-dims, uff-input-blob-name, output-blob-names +# ONNX: onnx-file +# +# Mandatory properties for detectors: +# num-detected-classes +# +# Optional properties for detectors: +# enable-dbscan(Default=false), interval(Primary mode only, Default=0) +# custom-lib-path, +# parse-bbox-func-name +# +# Mandatory properties for classifiers: +# classifier-threshold, is-classifier +# +# Optional properties for classifiers: +# classifier-async-mode(Secondary mode only, Default=false) +# +# Optional properties in secondary mode: +# operate-on-gie-id(Default=0), operate-on-class-ids(Defaults to all classes), +# input-object-min-width, input-object-min-height, input-object-max-width, +# input-object-max-height +# +# Following properties are always recommended: +# batch-size(Default=1) +# +# Other optional properties: +# net-scale-factor(Default=1), network-mode(Default=0 i.e FP32), +# model-color-format(Default=0 i.e. RGB) model-engine-file, labelfile-path, +# mean-file, gie-unique-id(Default=0), offsets, gie-mode (Default=1 i.e. primary), +# custom-lib-path, network-mode(Default=0 i.e FP32) +# +# The values in the config file are overridden by values set through GObject +# properties. + +[property] +gpu-id=0 +net-scale-factor=1 +model-file=../../../../samples/models/Secondary_CarColor/resnet18.caffemodel +proto-file=../../../../samples/models/Secondary_CarColor/resnet18.prototxt +mean-file=../../../../samples/models/Secondary_CarColor/mean.ppm +labelfile-path=../../../../samples/models/Secondary_CarColor/labels.txt +int8-calib-file=../../../../samples/models/Secondary_CarColor/cal_trt.bin +batch-size=16 +# 0=FP32 and 1=INT8 mode +network-mode=1 +input-object-min-width=64 +input-object-min-height=64 +process-mode=2 +model-color-format=1 +gpu-id=0 +gie-unique-id=2 +operate-on-gie-id=1 +operate-on-class-ids=0 +is-classifier=1 +output-blob-names=predictions/Softmax +classifier-async-mode=1 +classifier-threshold=0.51 +gie-mode=2 diff --git a/apps/deepstream-test2/dstest2_sgie2_config.txt b/apps/deepstream-test2/dstest2_sgie2_config.txt new file mode 100644 index 0000000..3d4700d --- /dev/null +++ b/apps/deepstream-test2/dstest2_sgie2_config.txt @@ -0,0 +1,83 @@ +################################################################################ +# Copyright (c) 2018-2019, NVIDIA CORPORATION. All rights reserved. +# +# Permission is hereby granted, free of charge, to any person obtaining a +# copy of this software and associated documentation files (the "Software"), +# to deal in the Software without restriction, including without limitation +# the rights to use, copy, modify, merge, publish, distribute, sublicense, +# and/or sell copies of the Software, and to permit persons to whom the +# Software is furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in +# all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL +# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER +# DEALINGS IN THE SOFTWARE. +################################################################################ + +# Following properties are mandatory when engine files are not specified: +# int8-calib-file(Only in INT8) +# Caffemodel mandatory properties: model-file, proto-file, output-blob-names +# UFF: uff-file, input-dims, uff-input-blob-name, output-blob-names +# ONNX: onnx-file +# +# Mandatory properties for detectors: +# num-detected-classes +# +# Optional properties for detectors: +# enable-dbscan(Default=false), interval(Primary mode only, Default=0) +# custom-lib-path, +# parse-bbox-func-name +# +# Mandatory properties for classifiers: +# classifier-threshold, is-classifier +# +# Optional properties for classifiers: +# classifier-async-mode(Secondary mode only, Default=false) +# +# Optional properties in secondary mode: +# operate-on-gie-id(Default=0), operate-on-class-ids(Defaults to all classes), +# input-object-min-width, input-object-min-height, input-object-max-width, +# input-object-max-height +# +# Following properties are always recommended: +# batch-size(Default=1) +# +# Other optional properties: +# net-scale-factor(Default=1), network-mode(Default=0 i.e FP32), +# model-color-format(Default=0 i.e. RGB) model-engine-file, labelfile-path, +# mean-file, gie-unique-id(Default=0), offsets, gie-mode (Default=1 i.e. primary), +# custom-lib-path, network-mode(Default=0 i.e FP32) +# +# The values in the config file are overridden by values set through GObject +# properties. + +[property] +gpu-id=0 +net-scale-factor=1 +model-file=../../../../samples/models/Secondary_CarMake/resnet18.caffemodel +proto-file=../../../../samples/models/Secondary_CarMake/resnet18.prototxt +mean-file=../../../../samples/models/Secondary_CarMake/mean.ppm +labelfile-path=../../../../samples/models/Secondary_CarMake/labels.txt +int8-calib-file=../../../../samples/models/Secondary_CarMake/cal_trt.bin +batch-size=16 +# 0=FP32 and 1=INT8 mode +network-mode=1 +input-object-min-width=64 +input-object-min-height=64 +process-mode=2 +model-color-format=1 +gpu-id=0 +gie-unique-id=3 +operate-on-gie-id=1 +operate-on-class-ids=0 +is-classifier=1 +output-blob-names=predictions/Softmax +classifier-async-mode=1 +classifier-threshold=0.51 +gie-mode=2 diff --git a/apps/deepstream-test2/dstest2_sgie3_config.txt b/apps/deepstream-test2/dstest2_sgie3_config.txt new file mode 100644 index 0000000..e54f071 --- /dev/null +++ b/apps/deepstream-test2/dstest2_sgie3_config.txt @@ -0,0 +1,83 @@ +################################################################################ +# Copyright (c) 2018-2019, NVIDIA CORPORATION. All rights reserved. +# +# Permission is hereby granted, free of charge, to any person obtaining a +# copy of this software and associated documentation files (the "Software"), +# to deal in the Software without restriction, including without limitation +# the rights to use, copy, modify, merge, publish, distribute, sublicense, +# and/or sell copies of the Software, and to permit persons to whom the +# Software is furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in +# all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL +# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER +# DEALINGS IN THE SOFTWARE. +################################################################################ + +# Following properties are mandatory when engine files are not specified: +# int8-calib-file(Only in INT8) +# Caffemodel mandatory properties: model-file, proto-file, output-blob-names +# UFF: uff-file, input-dims, uff-input-blob-name, output-blob-names +# ONNX: onnx-file +# +# Mandatory properties for detectors: +# num-detected-classes +# +# Optional properties for detectors: +# enable-dbscan(Default=false), interval(Primary mode only, Default=0) +# custom-lib-path, +# parse-bbox-func-name +# +# Mandatory properties for classifiers: +# classifier-threshold, is-classifier +# +# Optional properties for classifiers: +# classifier-async-mode(Secondary mode only, Default=false) +# +# Optional properties in secondary mode: +# operate-on-gie-id(Default=0), operate-on-class-ids(Defaults to all classes), +# input-object-min-width, input-object-min-height, input-object-max-width, +# input-object-max-height +# +# Following properties are always recommended: +# batch-size(Default=1) +# +# Other optional properties: +# net-scale-factor(Default=1), network-mode(Default=0 i.e FP32), +# model-color-format(Default=0 i.e. RGB) model-engine-file, labelfile-path, +# mean-file, gie-unique-id(Default=0), offsets, gie-mode (Default=1 i.e. primary), +# custom-lib-path, network-mode(Default=0 i.e FP32) +# +# The values in the config file are overridden by values set through GObject +# properties. + +[property] +gpu-id=0 +net-scale-factor=1 +model-file=../../../../samples/models/Secondary_VehicleTypes/resnet18.caffemodel +proto-file=../../../../samples/models/Secondary_VehicleTypes/resnet18.prototxt +mean-file=../../../../samples/models/Secondary_VehicleTypes/mean.ppm +labelfile-path=../../../../samples/models/Secondary_VehicleTypes/labels.txt +int8-calib-file=../../../../samples/models/Secondary_VehicleTypes/cal_trt.bin +batch-size=16 +# 0=FP32 and 1=INT8 mode +network-mode=1 +input-object-min-width=64 +input-object-min-height=64 +model-color-format=1 +process-mode=2 +gpu-id=0 +gie-unique-id=4 +operate-on-gie-id=1 +operate-on-class-ids=0 +is-classifier=1 +output-blob-names=predictions/Softmax +classifier-async-mode=1 +classifier-threshold=0.51 +gie-mode=2 diff --git a/apps/deepstream-test2/dstest2_tracker_config.txt b/apps/deepstream-test2/dstest2_tracker_config.txt new file mode 100644 index 0000000..756d5b1 --- /dev/null +++ b/apps/deepstream-test2/dstest2_tracker_config.txt @@ -0,0 +1,37 @@ +################################################################################ +# Copyright (c) 2018-2019, NVIDIA CORPORATION. All rights reserved. +# +# Permission is hereby granted, free of charge, to any person obtaining a +# copy of this software and associated documentation files (the "Software"), +# to deal in the Software without restriction, including without limitation +# the rights to use, copy, modify, merge, publish, distribute, sublicense, +# and/or sell copies of the Software, and to permit persons to whom the +# Software is furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in +# all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL +# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER +# DEALINGS IN THE SOFTWARE. +################################################################################ + +# Mandatory properties for the tracker: +# tracker-width +# tracker-height +# gpu-id +# ll-lib-file: path to low-level tracker lib +# ll-config-file: required for NvDCF, optional for KLT and IOU +# +[tracker] +tracker-width=640 +tracker-height=368 +gpu-id=0 +ll-lib-file=/opt/nvidia/deepstream/deepstream-4.0/lib/libnvds_mot_klt.so +#ll-lib-file=/opt/nvidia/deepstream/deepstream-4.0/lib/libnvds_nvdcf.so +#ll-config-file=tracker_config.yml +enable-batch-process=1 diff --git a/apps/deepstream-test2/tracker_config.yml b/apps/deepstream-test2/tracker_config.yml new file mode 100644 index 0000000..83e1c5d --- /dev/null +++ b/apps/deepstream-test2/tracker_config.yml @@ -0,0 +1,19 @@ +%YAML:1.0 + +NvDCF: + maxTargetsPerStream: 30 # Max number of targets to track per stream. Recommended to set >10. Note: this value should account for the targets being tracked in shadow mode as well. Max value depends on the GPU memory capacity + + filterLr: 0.11 # learning rate for DCF filter in exponential moving average. Valid Range: [0.0, 1.0] + gaussianSigma: 0.75 # Standard deviation for Gaussian for desired response when creating DCF filter + + minDetectorConfidence: 0.0 # If the confidence of a detector bbox is lower than this, then it won't be considered for tracking + minTrackerConfidence: 0.6 # If the confidence of an object tracker is lower than this on the fly, then it will be tracked in shadow mode. Valid Range: [0.0, 1.0] + + featureImgSizeLevel: 1 # Size of a feature image. Valid range: {1, 2, 3, 4, 5}, from the smallest to the largest + SearchRegionPaddingScale: 3 # Search region size. Determines how large the search region should be scaled from the target bbox. Valid range: {1, 2, 3}, from the smallest to the largest + + maxShadowTrackingAge: 9 # Max length of shadow tracking (the shadow tracking age is incremented when (1) there's detector input yet no match or (2) tracker confidence is lower than minTrackerConfidence). Once reached, the tracker will be terminated. + probationAge: 0 # Once the tracker age (incremented at every frame) reaches this, the tracker is considered to be valid + earlyTerminationAge: 0 # Early termination age (in terms of shadow tracking age) during the probation period + + minVisibiilty4Tracking: 0.5 # If the visibility of the bbox of a tracker gets lower, then it will be terminated diff --git a/apps/deepstream-test3/README b/apps/deepstream-test3/README new file mode 100644 index 0000000..3818a3a --- /dev/null +++ b/apps/deepstream-test3/README @@ -0,0 +1,72 @@ +################################################################################ +# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved. +# +# Permission is hereby granted, free of charge, to any person obtaining a +# copy of this software and associated documentation files (the "Software"), +# to deal in the Software without restriction, including without limitation +# the rights to use, copy, modify, merge, publish, distribute, sublicense, +# and/or sell copies of the Software, and to permit persons to whom the +# Software is furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in +# all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL +# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER +# DEALINGS IN THE SOFTWARE. +################################################################################ + +Prerequisites: +- DeepStreamSDK 4.0.1 +- Python 3 +- Gst-python + +To run: + $ python3 deepstream_test_3.py [uri2] ... [uriN] +e.g. + $ python3 deepstream_test_3.py file:///home/ubuntu/video1.mp4 file:///home/ubuntu/video2.mp4 + $ python3 deepstream_test_3.py rtsp://127.0.0.1/video1 rtsp://127.0.0.1/video2 + +This document describes the sample deepstream-test3 application. + +This sample builds on top of the deepstream-test1 sample to demonstrate how to: + +* Use multiple sources in the pipeline. +* Use a uridecodebin so that any type of input (e.g. RTSP/File), any GStreamer + supported container format, and any codec can be used as input. +* Configure the stream-muxer to generate a batch of frames and infer on the + batch for better resource utilization. +* Extract the stream metadata, which contains useful information about the + frames in the batched buffer. + +Refer to the deepstream-test1 sample documentation for an example of simple +single-stream inference, bounding-box overlay, and rendering. + +This sample accepts one or more H.264/H.265 video streams as input. It creates +a source bin for each input and connects the bins to an instance of the +"nvstreammux" element, which forms the batch of frames. The batch of +frames is fed to "nvinfer" for batched inferencing. The batched buffer is +composited into a 2D tile array using "nvmultistreamtiler." The rest of the +pipeline is similar to the deepstream-test1 sample. + +The "width" and "height" properties must be set on the stream-muxer to set the +output resolution. If the input frame resolution is different from +stream-muxer's "width" and "height", the input frame will be scaled to muxer's +output resolution. + +The stream-muxer waits for a user-defined timeout before forming the batch. The +timeout is set using the "batched-push-timeout" property. If the complete batch +is formed before the timeout is reached, the batch is pushed to the downstream +element. If the timeout is reached before the complete batch can be formed +(which can happen in case of rtsp sources), the batch is formed from the +available input buffers and pushed. Ideally, the timeout of the stream-muxer +should be set based on the framerate of the fastest source. It can also be set +to -1 to make the stream-muxer wait infinitely. + +The "nvmultistreamtiler" composite streams based on their stream-ids in +row-major order (starting from stream 0, left to right across the top row, then +across the next row, etc.). diff --git a/apps/deepstream-test3/deepstream_test_3.py b/apps/deepstream-test3/deepstream_test_3.py new file mode 100644 index 0000000..e6fd1d8 --- /dev/null +++ b/apps/deepstream-test3/deepstream_test_3.py @@ -0,0 +1,348 @@ +################################################################################ +# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved. +# +# Permission is hereby granted, free of charge, to any person obtaining a +# copy of this software and associated documentation files (the "Software"), +# to deal in the Software without restriction, including without limitation +# the rights to use, copy, modify, merge, publish, distribute, sublicense, +# and/or sell copies of the Software, and to permit persons to whom the +# Software is furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in +# all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL +# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER +# DEALINGS IN THE SOFTWARE. +################################################################################ + +import sys +sys.path.append('../') +import gi +import configparser +gi.require_version('Gst', '1.0') +from gi.repository import GObject, Gst +from gi.repository import GLib +from ctypes import * +import time +import sys +import math +import platform +from common.is_aarch_64 import is_aarch64 +from common.bus_call import bus_call +from common.FPS import GETFPS + +import pyds + +fps_streams={} + +MAX_DISPLAY_LEN=64 +PGIE_CLASS_ID_VEHICLE = 0 +PGIE_CLASS_ID_BICYCLE = 1 +PGIE_CLASS_ID_PERSON = 2 +PGIE_CLASS_ID_ROADSIGN = 3 +MUXER_OUTPUT_WIDTH=1920 +MUXER_OUTPUT_HEIGHT=80 +MUXER_BATCH_TIMEOUT_USEC=4000000 +TILED_OUTPUT_WIDTH=1920 +TILED_OUTPUT_HEIGHT=1080 +GST_CAPS_FEATURES_NVMM="memory:NVMM" +pgie_classes_str= ["Vehicle", "TwoWheeler", "Person","RoadSign"] + +# tiler_sink_pad_buffer_probe will extract metadata received on OSD sink pad +# and update params for drawing rectangle, object information etc. +def tiler_src_pad_buffer_probe(pad,info,u_data): + frame_number=0 + num_rects=0 + gst_buffer = info.get_buffer() + if not gst_buffer: + print("Unable to get GstBuffer ") + return + + # Retrieve batch metadata from the gst_buffer + # Note that pyds.gst_buffer_get_nvds_batch_meta() expects the + # C address of gst_buffer as input, which is obtained with hash(gst_buffer) + batch_meta = pyds.gst_buffer_get_nvds_batch_meta(hash(gst_buffer)) + l_frame = batch_meta.frame_meta_list + while l_frame is not None: + try: + # Note that l_frame.data needs a cast to pyds.NvDsFrameMeta + # The casting is done by pyds.glist_get_nvds_frame_meta() + # The casting also keeps ownership of the underlying memory + # in the C code, so the Python garbage collector will leave + # it alone. + frame_meta = pyds.glist_get_nvds_frame_meta(l_frame.data) + except StopIteration: + break + + ''' + print("Frame Number is ", frame_meta.frame_num) + print("Source id is ", frame_meta.source_id) + print("Batch id is ", frame_meta.batch_id) + print("Source Frame Width ", frame_meta.source_frame_width) + print("Source Frame Height ", frame_meta.source_frame_height) + print("Num object meta ", frame_meta.num_obj_meta) + ''' + frame_number=frame_meta.frame_num + l_obj=frame_meta.obj_meta_list + num_rects = frame_meta.num_obj_meta + obj_counter = { + PGIE_CLASS_ID_VEHICLE:0, + PGIE_CLASS_ID_PERSON:0, + PGIE_CLASS_ID_BICYCLE:0, + PGIE_CLASS_ID_ROADSIGN:0 + } + while l_obj is not None: + try: + # Casting l_obj.data to pyds.NvDsObjectMeta + obj_meta=pyds.glist_get_nvds_object_meta(l_obj.data) + except StopIteration: + break + obj_counter[obj_meta.class_id] += 1 + try: + l_obj=l_obj.next + except StopIteration: + break + """display_meta=pyds.nvds_acquire_display_meta_from_pool(batch_meta) + display_meta.num_labels = 1 + py_nvosd_text_params = display_meta.text_params[0] + py_nvosd_text_params.display_text = "Frame Number={} Number of Objects={} Vehicle_count={} Person_count={}".format(frame_number, num_rects, vehicle_count, person) + py_nvosd_text_params.x_offset = 10; + py_nvosd_text_params.y_offset = 12; + py_nvosd_text_params.font_params.font_name = "Serif" + py_nvosd_text_params.font_params.font_size = 10 + py_nvosd_text_params.font_params.font_color.red = 1.0 + py_nvosd_text_params.font_params.font_color.green = 1.0 + py_nvosd_text_params.font_params.font_color.blue = 1.0 + py_nvosd_text_params.font_params.font_color.alpha = 1.0 + py_nvosd_text_params.set_bg_clr = 1 + py_nvosd_text_params.text_bg_clr.red = 0.0 + py_nvosd_text_params.text_bg_clr.green = 0.0 + py_nvosd_text_params.text_bg_clr.blue = 0.0 + py_nvosd_text_params.text_bg_clr.alpha = 1.0 + #print("Frame Number=", frame_number, "Number of Objects=",num_rects,"Vehicle_count=",vehicle_count,"Person_count=",person) + pyds.nvds_add_display_meta_to_frame(frame_meta, display_meta)""" + print("Frame Number=", frame_number, "Number of Objects=",num_rects,"Vehicle_count=",obj_counter[PGIE_CLASS_ID_VEHICLE],"Person_count=",obj_counter[PGIE_CLASS_ID_PERSON]) + + # Get frame rate through this probe + fps_streams["stream{0}".format(frame_meta.pad_index)].get_fps() + try: + l_frame=l_frame.next + except StopIteration: + break + + return Gst.PadProbeReturn.OK + + + +def cb_newpad(decodebin, decoder_src_pad,data): + print("In cb_newpad\n") + caps=decoder_src_pad.get_current_caps() + gststruct=caps.get_structure(0) + gstname=gststruct.get_name() + source_bin=data + features=caps.get_features(0) + + # Need to check if the pad created by the decodebin is for video and not + # audio. + print("gstname=",gstname) + if(gstname.find("video")!=-1): + # Link the decodebin pad only if decodebin has picked nvidia + # decoder plugin nvdec_*. We do this by checking if the pad caps contain + # NVMM memory features. + print("features=",features) + if features.contains("memory:NVMM"): + # Get the source bin ghost pad + bin_ghost_pad=source_bin.get_static_pad("src") + if not bin_ghost_pad.set_target(decoder_src_pad): + sys.stderr.write("Failed to link decoder src pad to source bin ghost pad\n") + else: + sys.stderr.write(" Error: Decodebin did not pick nvidia decoder plugin.\n") + +def decodebin_child_added(child_proxy,Object,name,user_data): + print("Decodebin child added:", name, "\n") + if(name.find("decodebin") != -1): + Object.connect("child-added",decodebin_child_added,user_data) + if(is_aarch64() and name.find("nvv4l2decoder") != -1): + print("Seting bufapi_version\n") + Object.set_property("bufapi-version",True) + +def create_source_bin(index,uri): + print("Creating source bin") + + # Create a source GstBin to abstract this bin's content from the rest of the + # pipeline + bin_name="source-bin-%02d" %index + print(bin_name) + nbin=Gst.Bin.new(bin_name) + if not nbin: + sys.stderr.write(" Unable to create source bin \n") + + # Source element for reading from the uri. + # We will use decodebin and let it figure out the container format of the + # stream and the codec and plug the appropriate demux and decode plugins. + uri_decode_bin=Gst.ElementFactory.make("uridecodebin", "uri-decode-bin") + if not uri_decode_bin: + sys.stderr.write(" Unable to create uri decode bin \n") + # We set the input uri to the source element + uri_decode_bin.set_property("uri",uri) + # Connect to the "pad-added" signal of the decodebin which generates a + # callback once a new pad for raw data has beed created by the decodebin + uri_decode_bin.connect("pad-added",cb_newpad,nbin) + uri_decode_bin.connect("child-added",decodebin_child_added,nbin) + + # We need to create a ghost pad for the source bin which will act as a proxy + # for the video decoder src pad. The ghost pad will not have a target right + # now. Once the decode bin creates the video decoder and generates the + # cb_newpad callback, we will set the ghost pad target to the video decoder + # src pad. + Gst.Bin.add(nbin,uri_decode_bin) + bin_pad=nbin.add_pad(Gst.GhostPad.new_no_target("src",Gst.PadDirection.SRC)) + if not bin_pad: + sys.stderr.write(" Failed to add ghost pad in source bin \n") + return None + return nbin + +def main(args): + # Check input arguments + if len(args) < 2: + sys.stderr.write("usage: %s [uri2] ... [uriN]\n" % args[0]) + sys.exit(1) + + for i in range(0,len(args)-1): + fps_streams["stream{0}".format(i)]=GETFPS(i) + number_sources=len(args)-1 + + # Standard GStreamer initialization + GObject.threads_init() + Gst.init(None) + + # Create gstreamer elements */ + # Create Pipeline element that will form a connection of other elements + print("Creating Pipeline \n ") + pipeline = Gst.Pipeline() + + if not pipeline: + sys.stderr.write(" Unable to create Pipeline \n") + print("Creating streamux \n ") + + # Create nvstreammux instance to form batches from one or more sources. + streammux = Gst.ElementFactory.make("nvstreammux", "Stream-muxer") + if not streammux: + sys.stderr.write(" Unable to create NvStreamMux \n") + + pipeline.add(streammux) + for i in range(number_sources): + print("Creating source_bin ",i," \n ") + uri_name=args[i+1] + source_bin=create_source_bin(i, uri_name) + if not source_bin: + sys.stderr.write("Unable to create source bin \n") + pipeline.add(source_bin) + padname="sink_%u" %i + sinkpad= streammux.get_request_pad(padname) + if not sinkpad: + sys.stderr.write("Unable to create sink pad bin \n") + srcpad=source_bin.get_static_pad("src") + if not srcpad: + sys.stderr.write("Unable to create src pad bin \n") + srcpad.link(sinkpad) + print("Creating Pgie \n ") + pgie = Gst.ElementFactory.make("nvinfer", "primary-inference") + if not pgie: + sys.stderr.write(" Unable to create pgie \n") + print("Creating tiler \n ") + tiler=Gst.ElementFactory.make("nvmultistreamtiler", "nvtiler") + if not tiler: + sys.stderr.write(" Unable to create tiler \n") + print("Creating nvvidconv \n ") + nvvidconv = Gst.ElementFactory.make("nvvideoconvert", "convertor") + if not nvvidconv: + sys.stderr.write(" Unable to create nvvidconv \n") + print("Creating nvosd \n ") + nvosd = Gst.ElementFactory.make("nvdsosd", "onscreendisplay") + if not nvosd: + sys.stderr.write(" Unable to create nvosd \n") + if(is_aarch64()): + print("Creating transform \n ") + transform=Gst.ElementFactory.make("nvegltransform", "nvegl-transform") + if not transform: + sys.stderr.write(" Unable to create transform \n") + + print("Creating EGLSink \n") + sink = Gst.ElementFactory.make("nveglglessink", "nvvideo-renderer") + if not sink: + sys.stderr.write(" Unable to create egl sink \n") + + streammux.set_property('width', 1920) + streammux.set_property('height', 1080) + streammux.set_property('batch-size', number_sources) + streammux.set_property('batched-push-timeout', 4000000) + pgie.set_property('config-file-path', "dstest3_pgie_config.txt") + pgie_batch_size=pgie.get_property("batch-size") + if(pgie_batch_size != number_sources): + print("WARNING: Overriding infer-config batch-size",pgie_batch_size," with number of sources ", number_sources," \n") + pgie.set_property("batch-size",number_sources) + tiler_rows=int(math.sqrt(number_sources)) + tiler_columns=int(math.ceil((1.0*number_sources)/tiler_rows)) + tiler.set_property("rows",tiler_rows) + tiler.set_property("columns",tiler_columns) + tiler.set_property("width", TILED_OUTPUT_WIDTH) + tiler.set_property("height", TILED_OUTPUT_HEIGHT) + + print("Adding elements to Pipeline \n") + pipeline.add(pgie) + pipeline.add(tiler) + pipeline.add(nvvidconv) + pipeline.add(nvosd) + if is_aarch64(): + pipeline.add(transform) + pipeline.add(sink) + + print("Linking elements in the Pipeline \n") + streammux.link(pgie) + pgie.link(tiler) + tiler.link(nvvidconv) + nvvidconv.link(nvosd) + if is_aarch64(): + nvosd.link(transform) + transform.link(sink) + else: + nvosd.link(sink) + + # create an event loop and feed gstreamer bus mesages to it + loop = GObject.MainLoop() + bus = pipeline.get_bus() + bus.add_signal_watch() + bus.connect ("message", bus_call, loop) + tiler_src_pad=pgie.get_static_pad("src") + if not tiler_src_pad: + sys.stderr.write(" Unable to get src pad \n") + else: + tiler_src_pad.add_probe(Gst.PadProbeType.BUFFER, tiler_src_pad_buffer_probe, 0) + + # List the sources + print("Now playing...") + for i, source in enumerate(args): + if (i != 0): + print(i, ": ", source) + + print("Starting pipeline \n") + # start play back and listed to events + pipeline.set_state(Gst.State.PLAYING) + try: + loop.run() + except: + pass + # cleanup + print("Exiting app\n") + pipeline.set_state(Gst.State.NULL) + +if __name__ == '__main__': + sys.exit(main(sys.argv)) + + diff --git a/apps/deepstream-test3/dstest3_pgie_config.txt b/apps/deepstream-test3/dstest3_pgie_config.txt new file mode 100644 index 0000000..972b070 --- /dev/null +++ b/apps/deepstream-test3/dstest3_pgie_config.txt @@ -0,0 +1,79 @@ +################################################################################ +# Copyright (c) 2018-2019, NVIDIA CORPORATION. All rights reserved. +# +# Permission is hereby granted, free of charge, to any person obtaining a +# copy of this software and associated documentation files (the "Software"), +# to deal in the Software without restriction, including without limitation +# the rights to use, copy, modify, merge, publish, distribute, sublicense, +# and/or sell copies of the Software, and to permit persons to whom the +# Software is furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in +# all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL +# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER +# DEALINGS IN THE SOFTWARE. +################################################################################ + +# Following properties are mandatory when engine files are not specified: +# int8-calib-file(Only in INT8) +# Caffemodel mandatory properties: model-file, proto-file, output-blob-names +# UFF: uff-file, input-dims, uff-input-blob-name, output-blob-names +# ONNX: onnx-file +# +# Mandatory properties for detectors: +# num-detected-classes +# +# Optional properties for detectors: +# enable-dbscan(Default=false), interval(Primary mode only, Default=0) +# custom-lib-path +# parse-bbox-func-name +# +# Mandatory properties for classifiers: +# classifier-threshold, is-classifier +# +# Optional properties for classifiers: +# classifier-async-mode(Secondary mode only, Default=false) +# +# Optional properties in secondary mode: +# operate-on-gie-id(Default=0), operate-on-class-ids(Defaults to all classes), +# input-object-min-width, input-object-min-height, input-object-max-width, +# input-object-max-height +# +# Following properties are always recommended: +# batch-size(Default=1) +# +# Other optional properties: +# net-scale-factor(Default=1), network-mode(Default=0 i.e FP32), +# model-color-format(Default=0 i.e. RGB) model-engine-file, labelfile-path, +# mean-file, gie-unique-id(Default=0), offsets, gie-mode (Default=1 i.e. primary), +# custom-lib-path, network-mode(Default=0 i.e FP32) +# +# The values in the config file are overridden by values set through GObject +# properties. + +[property] +gpu-id=0 +net-scale-factor=0.0039215697906911373 +model-file=../../../../samples/models/Primary_Detector/resnet10.caffemodel +proto-file=../../../../samples/models/Primary_Detector/resnet10.prototxt +labelfile-path=../../../../samples/models/Primary_Detector/labels.txt +int8-calib-file=../../../../samples/models/Primary_Detector/cal_trt.bin +batch-size=1 +process-mode=1 +model-color-format=0 +network-mode=1 +num-detected-classes=4 +interval=0 +gie-unique-id=1 +output-blob-names=conv2d_bbox;conv2d_cov/Sigmoid + +[class-attrs-all] +threshold=0.2 +eps=0.2 +group-threshold=1 diff --git a/apps/deepstream-test4/README b/apps/deepstream-test4/README new file mode 100644 index 0000000..35f1314 --- /dev/null +++ b/apps/deepstream-test4/README @@ -0,0 +1,185 @@ +################################################################################ +# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved. +# +# Permission is hereby granted, free of charge, to any person obtaining a +# copy of this software and associated documentation files (the "Software"), +# to deal in the Software without restriction, including without limitation +# the rights to use, copy, modify, merge, publish, distribute, sublicense, +# and/or sell copies of the Software, and to permit persons to whom the +# Software is furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in +# all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL +# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER +# DEALINGS IN THE SOFTWARE. +################################################################################ + +Prerequisites: +- DeepStreamSDK 4.0.1 +- Python 3 +- Gst-python + +#Deepstream msgbroker supports sending messages to Azure(mqtt) IOThub, kafka and AMQP broker(rabbitmq) + +Dependencies +------------ + $ sudo apt-get update + + Azure Iot: + ---------- + $ sudo apt-get install -y libcurl4-openssl-dev libssl-dev uuid-dev libglib2.0 libglib2.0-dev + + #If your host machine is x86 and using Ubuntu 18.04, additionally install the below + $ sudo apt-get install -y libcurl3 + + + Kafka: + ------ + $ sudo apt-get install libglib2.0 libglib2.0-dev + $ sudo apt-get install libjansson4 libjansson-dev + $ sudo apt-get install librdkafka1=0.11.3-1build1 + + AMQP (rabbitmq): + ---------------- + Install rabbitmq-c library + -------------------------- + $ git clone -b v0.8.0 --recursive https://github.com/alanxz/rabbitmq-c.git + $ cd rabbitmq-c + $ mkdir build && cd build + $ cmake .. + $ cmake --build . + $ sudo cp librabbitmq/librabbitmq.so.4 /opt/nvidia/deepstream/deepstream-/lib/ + $ sudo ldconfig + +SETUP: + 1.Use --proto-lib or -p command line option to set the path of adaptor library. + Adaptor library can be found at /opt/nvidia/deepstream/deepstream-/lib + + kafka lib - libnvds_kafka_proto.so + azure device client - libnvds_azure_proto.so + AMQP lib - libnvds_amqp_proto.so + + 2.Use --conn-str command line option as required to set connection to backend server. + For Azure - Full Azure connection string + For Kafka - Connection string of format: host;port;topic + For Amqp - Connection string of format: host;port;username. Password to be provided in cfg_amqp.txt + + Provide connection string under quotes. e.g. --conn-str="host;port;topic" + + 3.Use --topic or -t command line option to provide message topic (optional). + Kafka message adaptor also has the topic param embedded within the connection string format + In that case, "topic" from command line should match the topic within connection string + + 4.Use --schema or -s command line option to select the message schema (optional). + Json payload to send to cloud can be generated using different message schemas. + schema = 0; Full message schema with separate payload per object (Default) + schema = 1; Minimal message with multiple objects in single payload. + Refer user guide to get more details about message schema. + + 5.Use --no-display to disable display. + + 6.Use --cfg-file or -c command line option to set adaptor configuration file. + This is optional if connection string has all relevent information. + + For kafka: use cfg_kafka.txt as a reference. + This file is used to define the parition key field to be used while sending messages to the + kafka broker. Refer Kafka Protocol Adaptor section in the DeepStream 4.0 Plugin Manual for + more details about using this config option. The partition-key setting within the cfg_kafka.txt + should be set based on the schema type selected using the --schema option. Set this to + "sensor.id" in case of Full message schema, and to "sensorId" in case of Minimal message schema + + + For Azure , use the cfg_azure.txt as a reference. It has the following section: + [message-broker] + #connection_str = HostName=.azure-devices.net;DeviceId=;SharedAccessKey= + #shared_access_key = + + + Azure device connection string: + ------------------------------- + You can provide the connection_str within cfg_azure.txt of format: + connection_str = HostName=.azure-devices.net;DeviceId=;SharedAccessKey= + + OR + + optionally, you can pass in part of the required connection string with --conn-str option in format: "url;port;device-id" + AND provide the shared_access_key within cfg_azure.txt + shared_access_key = + + For AMQP, use cfg_amqp.txt as reference. It has the following default options: + [message-broker] + password = guest + #optional + hostname = localhost + username = guest + port = 5672 + exchange = amq.topic + topic = topicname + + AMQP connection string: + ---------------------- + Provide hostname, username, password details in the cfg_amqp.txt + + OR + + optionally, you can pass in part of the required connection string with --conn-str option in format: "hostname;port;username" + AND provide password within cfg_amqp.txt + password = + + NOTE: + - DO NOT delete the line [message-broker] in cfg file. Its the section identifier used for parsing + - For Azure & AMQP: + If you use --conn-str commandline option as in step 2), make sure to provide password details in cfg file + OR + You can ignore --conn-str commandline option and provide full connection details within cfg file + + 7. Enable logging: + Go through the README to setup & enable logs for the messaging libraries(kafka, azure, amqp) + $ cat ../../../tools/nvds_logger/README + +To run: + $ python3 deepstream_test_4.py -i -p --conn-str= -s <0/1> + +NOTE: More details about the message adapters can be found at README inside DS_PACKAGE_DIR/sources/libs/*_protocol_adaptor + +This document shall describe about the sample deepstream-test4 application. + +This sample builds on top of the deepstream-test1 sample to demonstrate how to: + +* Use "nvmsgconv" and "nvmsgbroker" plugins in the pipeline. +* Create NVDS_META_EVENT_MSG type of meta and attach to buffer. +* Use NVDS_META_EVENT_MSG for different types of objects e.g. vehicle, person etc. +* Provide copy / free functions if meta data is extended through "extMsg" field. + +"nvmsgconv" plugin uses NVDS_META_EVENT_MSG type of metadata from the buffer +and generates the "DeepStream Schema" payload in Json format. Static properties +of schema are read from configuration file in the form of key-value pair. +Check dstest4_msgconv_config.txt for reference. Generated payload is attached +as NVDS_META_PAYLOAD type metadata to the buffer. + +"nvmsgbroker" plugin extracts NVDS_META_PAYLOAD type of metadata from the buffer +and sends that payload to the server using protocol adaptor APIs. + +Generating custom metadata for different type of objects: +In addition to common fields provided in NvDsEventMsgMeta structure, user can +also create custom objects and attach to buffer as NVDS_META_EVENT_MSG metadata. +To do that NvDsEventMsgMeta provides "extMsg" and "extMsgSize" fields. User can +create custom structure, fill that structure and assign the pointer of that +structure as "extMsg" and set the "extMsgSize" accordingly. +If custom object contains fields that can't be simply mem copied then user should +also provide function to copy and free those objects. + +Refer generate_event_msg_meta() to know how to use "extMsg" and "extMsgSize" +fields for custom objects and how to provide copy/free function and attach that +object to buffer as metadata. + +NOTE: This app by default sends message for first object of every 30th frame. To +change the frequency of messages, modify the following line in source code accordingly. +if(is_first_object and not (frame_number%30)) should be changed to: +if (not (frame_number % 30)) #To get all objects of a single frame diff --git a/apps/deepstream-test4/cfg_amqp.txt b/apps/deepstream-test4/cfg_amqp.txt new file mode 100644 index 0000000..33c744c --- /dev/null +++ b/apps/deepstream-test4/cfg_amqp.txt @@ -0,0 +1,29 @@ +################################################################################ +# Copyright (c) 2018-2019, NVIDIA CORPORATION. All rights reserved. +# +# Permission is hereby granted, free of charge, to any person obtaining a +# copy of this software and associated documentation files (the "Software"), +# to deal in the Software without restriction, including without limitation +# the rights to use, copy, modify, merge, publish, distribute, sublicense, +# and/or sell copies of the Software, and to permit persons to whom the +# Software is furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in +# all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL +# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER +# DEALINGS IN THE SOFTWARE. +################################################################################ +[message-broker] +password = guest +#optional +hostname = localhost +username = guest +port = 5672 +exchange = amq.topic +topic = topicname diff --git a/apps/deepstream-test4/cfg_azure.txt b/apps/deepstream-test4/cfg_azure.txt new file mode 100644 index 0000000..c1c007e --- /dev/null +++ b/apps/deepstream-test4/cfg_azure.txt @@ -0,0 +1,25 @@ +################################################################################ +# Copyright (c) 2018-2019, NVIDIA CORPORATION. All rights reserved. +# +# Permission is hereby granted, free of charge, to any person obtaining a +# copy of this software and associated documentation files (the "Software"), +# to deal in the Software without restriction, including without limitation +# the rights to use, copy, modify, merge, publish, distribute, sublicense, +# and/or sell copies of the Software, and to permit persons to whom the +# Software is furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in +# all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL +# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER +# DEALINGS IN THE SOFTWARE. +################################################################################ +[message-broker] +#connection_str = HostName=.azure-devices.net;DeviceId=;SharedAccessKey= +#shared_access_key = +#custom_msg_properties = =; diff --git a/apps/deepstream-test4/cfg_kafka.txt b/apps/deepstream-test4/cfg_kafka.txt new file mode 100644 index 0000000..2da6cc2 --- /dev/null +++ b/apps/deepstream-test4/cfg_kafka.txt @@ -0,0 +1,23 @@ +################################################################################ +# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved. +# +# Permission is hereby granted, free of charge, to any person obtaining a +# copy of this software and associated documentation files (the "Software"), +# to deal in the Software without restriction, including without limitation +# the rights to use, copy, modify, merge, publish, distribute, sublicense, +# and/or sell copies of the Software, and to permit persons to whom the +# Software is furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in +# all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL +# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER +# DEALINGS IN THE SOFTWARE. +################################################################################ +[message-broker] +partition-key = sensor.id diff --git a/apps/deepstream-test4/deepstream_test_4.py b/apps/deepstream-test4/deepstream_test_4.py new file mode 100644 index 0000000..75a9cf6 --- /dev/null +++ b/apps/deepstream-test4/deepstream_test_4.py @@ -0,0 +1,543 @@ +################################################################################ +# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved. +# +# Permission is hereby granted, free of charge, to any person obtaining a +# copy of this software and associated documentation files (the "Software"), +# to deal in the Software without restriction, including without limitation +# the rights to use, copy, modify, merge, publish, distribute, sublicense, +# and/or sell copies of the Software, and to permit persons to whom the +# Software is furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in +# all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL +# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER +# DEALINGS IN THE SOFTWARE. +################################################################################ + +#!/usr/bin/env python + +import sys +sys.path.append('../') +import gi +gi.require_version('Gst', '1.0') +from gi.repository import GObject, Gst +from gi.repository import GLib +import sys +import platform +from optparse import OptionParser +from common.is_aarch_64 import is_aarch64 +from common.bus_call import bus_call +from common.utils import long_to_int +import pyds + +MAX_DISPLAY_LEN=64 +MAX_TIME_STAMP_LEN=32 +PGIE_CLASS_ID_VEHICLE = 0 +PGIE_CLASS_ID_BICYCLE = 1 +PGIE_CLASS_ID_PERSON = 2 +PGIE_CLASS_ID_ROADSIGN = 3 +MUXER_OUTPUT_WIDTH=1920 +MUXER_OUTPUT_HEIGHT=1080 +MUXER_BATCH_TIMEOUT_USEC=4000000 +input_file = None +schema_type = 0 +frame_number = 0 +proto_lib = None +conn_str="localhost;2181;testTopic" +cfg_file = None +topic = None +no_display = False + +PGIE_CONFIG_FILE="dstest4_pgie_config.txt" +MSCONV_CONFIG_FILE="dstest4_msgconv_config.txt" + + +pgie_classes_str=["Vehicle", "TwoWheeler", "Person","Roadsign"] + +# Callback function for deep-copying an NvDsEventMsgMeta struct +def meta_copy_func(data,user_data): + # Cast data to pyds.NvDsUserMeta + user_meta=pyds.glist_get_nvds_user_meta(data) + src_meta_data=user_meta.user_meta_data + # Cast src_meta_data to pyds.NvDsEventMsgMeta + srcmeta=pyds.glist_get_nvds_event_msg_meta(src_meta_data) + # Duplicate the memory contents of srcmeta to dstmeta + # First use pyds.get_ptr() to get the C address of srcmeta, then + # use pyds.memdup() to allocate dstmeta and copy srcmeta into it. + # pyds.memdup returns C address of the allocated duplicate. + dstmeta_ptr=pyds.memdup(pyds.get_ptr(srcmeta), sys.getsizeof(pyds.NvDsEventMsgMeta)) + # Cast the duplicated memory to pyds.NvDsEventMsgMeta + dstmeta=pyds.glist_get_nvds_event_msg_meta(dstmeta_ptr) + + # Duplicate contents of ts field. Note that reading srcmeat.ts + # returns its C address. This allows to memory operations to be + # performed on it. + dstmeta.ts=pyds.memdup(srcmeta.ts, MAX_TIME_STAMP_LEN+1) + + # Copy the sensorStr. This field is a string property. + # The getter (read) returns its C address. The setter (write) + # takes string as input, allocates a string buffer and copies + # the input string into it. + # pyds.get_string() takes C address of a string and returns + # the reference to a string object and the assignment inside the binder copies content. + dstmeta.sensorStr=pyds.get_string(srcmeta.sensorStr) + + if(srcmeta.objSignature.size>0): + dstmeta.objSignature.signature=pyds.memdup(srcmeta.objSignature.signature,srcMeta.objSignature.size) + dstmeta.objSignature.size = srcmeta.objSignature.size; + + if(srcmeta.extMsgSize>0): + if(srcmeta.objType==pyds.NvDsObjectType.NVDS_OBJECT_TYPE_VEHICLE): + srcobj = pyds.glist_get_nvds_vehicle_object(srcmeta.extMsg); + obj = pyds.alloc_nvds_vehicle_object(); + obj.type=pyds.get_string(srcobj.type) + obj.make=pyds.get_string(srcobj.make) + obj.model=pyds.get_string(srcobj.model) + obj.color=pyds.get_string(srcobj.color) + obj.license = pyds.get_string(srcobj.license) + obj.region = pyds.get_string(srcobj.region) + dstmeta.extMsg = obj; + dstmeta.extMsgSize = sys.getsizeof(pyds.NvDsVehicleObject) + if(srcmeta.objType==pyds.NvDsObjectType.NVDS_OBJECT_TYPE_PERSON): + srcobj = pyds.glist_get_nvds_person_object(srcmeta.extMsg); + obj = pyds.alloc_nvds_person_object() + obj.age = srcobj.age + obj.gender = pyds.get_string(srcobj.gender); + obj.cap = pyds.get_string(srcobj.cap) + obj.hair = pyds.get_string(srcobj.hair) + obj.apparel = pyds.get_string(srcobj.apparel); + dstmeta.extMsg = obj; + dstmeta.extMsgSize = sys.getsizeof(pyds.NvDsVehicleObject); + + return dstmeta + +# Callback function for freeing an NvDsEventMsgMeta instance +def meta_free_func(data,user_data): + user_meta=pyds.glist_get_nvds_user_meta(data) + srcmeta=pyds.glist_get_nvds_event_msg_meta(user_meta.user_meta_data) + + # pyds.free_buffer takes C address of a buffer and frees the memory + # It's a NOP if the address is NULL + pyds.free_buffer(srcmeta.ts) + pyds.free_buffer(srcmeta.sensorStr) + + if(srcmeta.objSignature.size > 0): + pyds.free_buffer(srcmeta.objSignature.signature); + srcmeta.objSignature.size = 0 + + if(srcmeta.extMsgSize > 0): + if(srcmeta.objType == pyds.NvDsObjectType.NVDS_OBJECT_TYPE_VEHICLE): + obj =pyds.glist_get_nvds_vehicle_object(srcmeta.extMsg) + pyds.free_buffer(obj.type); + pyds.free_buffer(obj.color); + pyds.free_buffer(obj.make); + pyds.free_buffer(obj.model); + pyds.free_buffer(obj.license); + pyds.free_buffer(obj.region); + if(srcmeta.objType == pyds.NvDsObjectType.NVDS_OBJECT_TYPE_PERSON): + obj = pyds.glist_get_nvds_person_object(srcmeta.extMsg); + pyds.free_buffer(obj.gender); + pyds.free_buffer(obj.cap); + pyds.free_buffer(obj.hair); + pyds.free_buffer(obj.apparel); + pyds.free_gbuffer(srcmeta.extMsg); + srcmeta.extMsgSize = 0; + +def generate_vehicle_meta(data): + obj = pyds.glist_get_nvds_vehicle_object(data); + obj.type ="sedan" + obj.color="blue" + obj.make ="Bugatti" + obj.model = "M" + obj.license ="XX1234" + obj.region ="CA" + return obj + +def generate_person_meta(data): + obj = pyds.glist_get_nvds_person_object(data) + obj.age = 45 + obj.cap = "none" + obj.hair = "black" + obj.gender = "male" + obj.apparel= "formal" + return obj + +def generate_event_msg_meta(data, class_id): + meta =pyds.glist_get_nvds_event_msg_meta(data) + meta.sensorId = 0 + meta.placeId = 0 + meta.moduleId = 0 + meta.sensorStr = "sensor-0" + meta.ts = pyds.alloc_buffer(MAX_TIME_STAMP_LEN + 1) + pyds.generate_ts_rfc3339(meta.ts, MAX_TIME_STAMP_LEN) + + # This demonstrates how to attach custom objects. + # Any custom object as per requirement can be generated and attached + # like NvDsVehicleObject / NvDsPersonObject. Then that object should + # be handled in payload generator library (nvmsgconv.cpp) accordingly. + if(class_id==PGIE_CLASS_ID_VEHICLE): + meta.type = pyds.NvDsEventType.NVDS_EVENT_MOVING + meta.objType = pyds.NvDsObjectType.NVDS_OBJECT_TYPE_VEHICLE + meta.objClassId = PGIE_CLASS_ID_VEHICLE + obj = pyds.alloc_nvds_vehicle_object() + obj = generate_vehicle_meta(obj) + meta.extMsg = obj + meta.extMsgSize = sys.getsizeof(pyds.NvDsVehicleObject); + if(class_id == PGIE_CLASS_ID_PERSON): + meta.type =pyds.NvDsEventType.NVDS_EVENT_ENTRY + meta.objType = pyds.NvDsObjectType.NVDS_OBJECT_TYPE_PERSON; + meta.objClassId = PGIE_CLASS_ID_PERSON + obj = pyds.alloc_nvds_person_object() + obj=generate_person_meta(obj) + meta.extMsg = obj + meta.extMsgSize = sys.getsizeof(pyds.NvDsPersonObject) + return meta + +# osd_sink_pad_buffer_probe will extract metadata received on OSD sink pad +# and update params for drawing rectangle, object information etc. +# IMPORTANT NOTE: +# a) probe() callbacks are synchronous and thus holds the buffer +# (info.get_buffer()) from traversing the pipeline until user return. +# b) loops inside probe() callback could be costly in python. +# So users shall optimize according to their use-case. +def osd_sink_pad_buffer_probe(pad,info,u_data): + frame_number=0 + #Intiallizing object counter with 0. + obj_counter = { + PGIE_CLASS_ID_VEHICLE:0, + PGIE_CLASS_ID_PERSON:0, + PGIE_CLASS_ID_BICYCLE:0, + PGIE_CLASS_ID_ROADSIGN:0 + } + is_first_object=True + gst_buffer = info.get_buffer() + if not gst_buffer: + print("Unable to get GstBuffer ") + return + + # Retrieve batch metadata from the gst_buffer + # Note that pyds.gst_buffer_get_nvds_batch_meta() expects the + # C address of gst_buffer as input, which is obtained with hash(gst_buffer) + batch_meta = pyds.gst_buffer_get_nvds_batch_meta(hash(gst_buffer)) + if not batch_meta: + return Gst.PadProbeReturn.OK + l_frame = batch_meta.frame_meta_list + while l_frame is not None: + try: + # Note that l_frame.data needs a cast to pyds.NvDsFrameMeta + # The casting is done by pyds.glist_get_nvds_frame_meta() + # The casting also keeps ownership of the underlying memory + # in the C code, so the Python garbage collector will leave + # it alone. + frame_meta = pyds.glist_get_nvds_frame_meta(l_frame.data) + except StopIteration: + continue + is_first_object = True; + + ''' + print("Frame Number is ", frame_meta.frame_num) + print("Source id is ", frame_meta.source_id) + print("Batch id is ", frame_meta.batch_id) + print("Source Frame Width ", frame_meta.source_frame_width) + print("Source Frame Height ", frame_meta.source_frame_height) + print("Num object meta ", frame_meta.num_obj_meta) + ''' + frame_number=frame_meta.frame_num + l_obj=frame_meta.obj_meta_list + while l_obj is not None: + try: + obj_meta=pyds.glist_get_nvds_object_meta(l_obj.data) + except StopIteration: + continue + + # Update the object text display + txt_params=obj_meta.text_params + if(txt_params.display_text): + pyds.free_buffer(txt_params.display_text) + + txt_params.display_text = pgie_classes_str[obj_meta.class_id] + + obj_counter[obj_meta.class_id] += 1 + + # Font , font-color and font-size + txt_params.font_params.font_name = "Serif" + txt_params.font_params.font_size = 10 + # set(red, green, blue, alpha); set to White + txt_params.font_params.font_color.set(1.0, 1.0, 1.0, 1.0); + + # Text background color + txt_params.set_bg_clr = 1 + # set(red, green, blue, alpha); set to Black + txt_params.text_bg_clr.set(0.0, 0.0, 0.0, 1.0); + + # Ideally NVDS_EVENT_MSG_META should be attached to buffer by the + # component implementing detection / recognition logic. + # Here it demonstrates how to use / attach that meta data. + if(is_first_object and not (frame_number%30)): + # Frequency of messages to be send will be based on use case. + # Here message is being sent for first object every 30 frames. + + # Allocating an NvDsEventMsgMeta instance and getting reference + # to it. The underlying memory is not manged by Python so that + # downstream plugins can access it. Otherwise the garbage collector + # will free it when this probe exits. + msg_meta=pyds.alloc_nvds_event_msg_meta() + msg_meta.bbox.top = obj_meta.rect_params.top + msg_meta.bbox.left = obj_meta.rect_params.left + msg_meta.bbox.width = obj_meta.rect_params.width + msg_meta.bbox.height = obj_meta.rect_params.height + msg_meta.frameId = frame_number + msg_meta.trackingId = long_to_int(obj_meta.object_id) + msg_meta.confidence = obj_meta.confidence + msg_meta = generate_event_msg_meta(msg_meta, obj_meta.class_id) + user_event_meta = pyds.nvds_acquire_user_meta_from_pool(batch_meta) + if(user_event_meta): + user_event_meta.user_meta_data = msg_meta; + user_event_meta.base_meta.meta_type = pyds.NvDsMetaType.NVDS_EVENT_MSG_META + # Setting callbacks in the event msg meta. The bindings layer + # will wrap these callables in C functions. Currently only one + # set of callbacks is supported. + pyds.set_user_copyfunc(user_event_meta, meta_copy_func) + pyds.set_user_releasefunc(user_event_meta, meta_free_func) + pyds.nvds_add_user_meta_to_frame(frame_meta, user_event_meta) + else: + print("Error in attaching event meta to buffer\n") + + is_first_object = False + try: + l_obj=l_obj.next + except StopIteration: + break + try: + l_frame=l_frame.next + except StopIteration: + break + + print("Frame Number =",frame_number,"Vehicle Count =",obj_counter[PGIE_CLASS_ID_VEHICLE],"Person Count =",obj_counter[PGIE_CLASS_ID_PERSON]) + return Gst.PadProbeReturn.OK + + + +def main(args): + GObject.threads_init() + Gst.init(None) + + print("Creating Pipeline \n ") + + pipeline = Gst.Pipeline() + + if not pipeline: + sys.stderr.write(" Unable to create Pipeline \n") + + print("Creating Source \n ") + source = Gst.ElementFactory.make("filesrc", "file-source") + if not source: + sys.stderr.write(" Unable to create Source \n") + + print("Creating H264Parser \n") + h264parser = Gst.ElementFactory.make("h264parse", "h264-parser") + if not h264parser: + sys.stderr.write(" Unable to create h264 parser \n") + + print("Creating Decoder \n") + decoder = Gst.ElementFactory.make("nvv4l2decoder", "nvv4l2-decoder") + if not decoder: + sys.stderr.write(" Unable to create Nvv4l2 Decoder \n") + + streammux = Gst.ElementFactory.make("nvstreammux", "Stream-muxer") + if not streammux: + sys.stderr.write(" Unable to create NvStreamMux \n") + + pgie = Gst.ElementFactory.make("nvinfer", "primary-inference") + if not pgie: + sys.stderr.write(" Unable to create pgie \n") + + nvvidconv = Gst.ElementFactory.make("nvvideoconvert", "convertor") + if not nvvidconv: + sys.stderr.write(" Unable to create nvvidconv \n") + + nvosd = Gst.ElementFactory.make("nvdsosd", "onscreendisplay") + if not nvosd: + sys.stderr.write(" Unable to create nvosd \n") + + msgconv=Gst.ElementFactory.make("nvmsgconv", "nvmsg-converter") + if not msgconv: + sys.stderr.write(" Unable to create msgconv \n") + + msgbroker=Gst.ElementFactory.make("nvmsgbroker", "nvmsg-broker") + if not msgbroker: + sys.stderr.write(" Unable to create msgbroker \n") + + tee=Gst.ElementFactory.make("tee", "nvsink-tee") + if not tee: + sys.stderr.write(" Unable to create tee \n") + + queue1=Gst.ElementFactory.make("queue", "nvtee-que1") + if not queue1: + sys.stderr.write(" Unable to create queue1 \n") + + queue2=Gst.ElementFactory.make("queue", "nvtee-que2") + if not queue2: + sys.stderr.write(" Unable to create queue2 \n") + + if (no_display) : + print("Creating FakeSink \n") + sink = Gst.ElementFactory.make("fakesink", "fakesink") + if not sink: + sys.stderr.write(" Unable to create fakesink \n") + else: + if is_aarch64(): + transform = Gst.ElementFactory.make("nvegltransform", "nvegl-transform") + + print("Creating EGLSink \n") + sink = Gst.ElementFactory.make("nveglglessink", "nvvideo-renderer") + if not sink: + sys.stderr.write(" Unable to create egl sink \n") + + print("Playing file %s " %input_file) + source.set_property('location', input_file) + streammux.set_property('width', 1920) + streammux.set_property('height', 1080) + streammux.set_property('batch-size', 1) + streammux.set_property('batched-push-timeout', 4000000) + pgie.set_property('config-file-path', PGIE_CONFIG_FILE) + msgconv.set_property('config',MSCONV_CONFIG_FILE) + msgconv.set_property('payload-type', schema_type) + msgbroker.set_property('proto-lib', proto_lib) + msgbroker.set_property('conn-str', conn_str) + msgbroker.set_property('config', cfg_file) + if topic is not None: + msgbroker.set_property('topic', topic) + msgbroker.set_property('sync', False) + + print("Adding elements to Pipeline \n") + pipeline.add(source) + pipeline.add(h264parser) + pipeline.add(decoder) + pipeline.add(streammux) + pipeline.add(pgie) + pipeline.add(nvvidconv) + pipeline.add(nvosd) + pipeline.add(tee) + pipeline.add(queue1) + pipeline.add(queue2) + pipeline.add(msgconv) + pipeline.add(msgbroker) + pipeline.add(sink) + if is_aarch64() and not no_display: + pipeline.add(transform) + + print("Linking elements in the Pipeline \n") + source.link(h264parser) + h264parser.link(decoder) + + sinkpad = streammux.get_request_pad("sink_0") + if not sinkpad: + sys.stderr.write(" Unable to get the sink pad of streammux \n") + srcpad = decoder.get_static_pad("src") + if not srcpad: + sys.stderr.write(" Unable to get source pad of decoder \n") + srcpad.link(sinkpad) + + streammux.link(pgie) + pgie.link(nvvidconv) + nvvidconv.link(nvosd) + nvosd.link(tee) + queue1.link(msgconv) + msgconv.link(msgbroker) + if is_aarch64() and not no_display: + queue2.link(transform) + transform.link(sink) + else: + queue2.link(sink) + sink_pad=queue1.get_static_pad("sink") + tee_msg_pad=tee.get_request_pad('src_%u') + tee_render_pad=tee.get_request_pad("src_%u") + if not tee_msg_pad or not tee_render_pad: + sys.stderr.write("Unable to get request pads\n") + tee_msg_pad.link(sink_pad) + sink_pad=queue2.get_static_pad("sink") + tee_render_pad.link(sink_pad) + + # create an event loop and feed gstreamer bus mesages to it + loop = GObject.MainLoop() + bus = pipeline.get_bus() + bus.add_signal_watch() + bus.connect ("message", bus_call, loop) + + osdsinkpad = nvosd.get_static_pad("sink") + if not osdsinkpad: + sys.stderr.write(" Unable to get sink pad of nvosd \n") + + osdsinkpad.add_probe(Gst.PadProbeType.BUFFER, osd_sink_pad_buffer_probe, 0) + + print("Starting pipeline \n") + + # start play back and listed to events + pipeline.set_state(Gst.State.PLAYING) + try: + loop.run() + except: + pass + # cleanup + pyds.unset_callback_funcs() + pipeline.set_state(Gst.State.NULL) + +# Parse and validate input arguments +def parse_args(): + parser = OptionParser() + parser.add_option("-c", "--cfg-file", dest="cfg_file", + help="Set the adaptor config file. Optional if connection string has relevant details.", metavar="FILE") + parser.add_option("-i", "--input-file", dest="input_file", + help="Set the input H264 file", metavar="FILE") + parser.add_option("-p", "--proto-lib", dest="proto_lib", + help="Absolute path of adaptor library", metavar="PATH") + parser.add_option("", "--conn-str", dest="conn_str", + help="Connection string of backend server. Optional if it is part of config file.", metavar="STR") + parser.add_option("-s", "--schema-type", dest="schema_type", default="0", + help="Type of message schema (0=Full, 1=minimal), default=0", metavar="<0|1>") + parser.add_option("-t", "--topic", dest="topic", + help="Name of message topic. Optional if it is part of connection string or config file.", metavar="TOPIC") + parser.add_option("", "--no-display", action="store_true", dest="no_display", default=False, + help="Disable display") + + (options, args) = parser.parse_args() + + global cfg_file + global input_file + global proto_lib + global conn_str + global topic + global schema_type + global no_display + cfg_file = options.cfg_file + input_file = options.input_file + proto_lib = options.proto_lib + conn_str = options.conn_str + topic = options.topic + no_display = options.no_display + + if proto_lib is None or input_file is None: + print("Usage: python3 deepstream_test_4.py -i -p --conn-str=") + return 1 + + if (options.schema_type == "0"): + schema_type = 0 + else: + schema_type = 1 + + return 0 + +if __name__ == '__main__': + ret = parse_args() + #If argumer parsing fail, return failure (non-zero) + if ret == 1: + sys.exit(1) + sys.exit(main(sys.argv)) + diff --git a/apps/deepstream-test4/dstest4_msgconv_config.txt b/apps/deepstream-test4/dstest4_msgconv_config.txt new file mode 100644 index 0000000..7c9d79a --- /dev/null +++ b/apps/deepstream-test4/dstest4_msgconv_config.txt @@ -0,0 +1,58 @@ +################################################################################ +# Copyright (c) 2018-2019, NVIDIA CORPORATION. All rights reserved. +# +# Permission is hereby granted, free of charge, to any person obtaining a +# copy of this software and associated documentation files (the "Software"), +# to deal in the Software without restriction, including without limitation +# the rights to use, copy, modify, merge, publish, distribute, sublicense, +# and/or sell copies of the Software, and to permit persons to whom the +# Software is furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in +# all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL +# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER +# DEALINGS IN THE SOFTWARE. +################################################################################ + +[sensor0] +enable=1 +type=Camera +id=CAMERA_ID +location=45.293701447;-75.8303914499;48.1557479338 +description="Entrance of Garage Right Lane" +coordinate=5.2;10.1;11.2 + +[place0] +enable=1 +id=1 +type=garage +name=XYZ +location=30.32;-40.55;100.0 +coordinate=1.0;2.0;3.0 +place-sub-field1=walsh +place-sub-field2=lane1 +place-sub-field3=P2 + +[place1] +enable=1 +id=1 +type=garage +name=XYZ +location=28.47;47.46;1.53 +coordinate=1.0;2.0;3.0 +place-sub-field1="C-76-2" +place-sub-field2="LEV/EV/CP/ADA" +place-sub-field3=P2 + +[analytics0] +enable=1 +id=XYZ +description="Vehicle Detection and License Plate Recognition" +source=OpenALR +version=1.0 \ No newline at end of file diff --git a/apps/deepstream-test4/dstest4_pgie_config.txt b/apps/deepstream-test4/dstest4_pgie_config.txt new file mode 100644 index 0000000..6caf636 --- /dev/null +++ b/apps/deepstream-test4/dstest4_pgie_config.txt @@ -0,0 +1,79 @@ +################################################################################ +# Copyright (c) 2018-2019, NVIDIA CORPORATION. All rights reserved. +# +# Permission is hereby granted, free of charge, to any person obtaining a +# copy of this software and associated documentation files (the "Software"), +# to deal in the Software without restriction, including without limitation +# the rights to use, copy, modify, merge, publish, distribute, sublicense, +# and/or sell copies of the Software, and to permit persons to whom the +# Software is furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in +# all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL +# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER +# DEALINGS IN THE SOFTWARE. +################################################################################ + +# Following properties are mandatory when engine files are not specified: +# int8-calib-file(Only in INT8) +# Caffemodel mandatory properties: model-file, proto-file, output-blob-names +# UFF: uff-file, input-dims, uff-input-blob-name, output-blob-names +# ONNX: onnx-file +# +# Mandatory properties for detectors: +# num-detected-classes +# +# Optional properties for detectors: +# enable-dbscan(Default=false), interval(Primary mode only, Default=0) +# custom-lib-path, +# parse-bbox-func-name +# +# Mandatory properties for classifiers: +# classifier-threshold, is-classifier +# +# Optional properties for classifiers: +# classifier-async-mode(Secondary mode only, Default=false) +# +# Optional properties in secondary mode: +# operate-on-gie-id(Default=0), operate-on-class-ids(Defaults to all classes), +# input-object-min-width, input-object-min-height, input-object-max-width, +# input-object-max-height +# +# Following properties are always recommended: +# batch-size(Default=1) +# +# Other optional properties: +# net-scale-factor(Default=1), network-mode(Default=0 i.e FP32), +# model-color-format(Default=0 i.e. RGB) model-engine-file, labelfile-path, +# mean-file, gie-unique-id(Default=0), offsets, gie-mode (Default=1 i.e. primary), +# custom-lib-path, network-mode(Default=0 i.e FP32) +# +# The values in the config file are overridden by values set through GObject +# properties. + +[property] +gpu-id=0 +net-scale-factor=0.0039215697906911373 +model-file=../../../../samples/models/Primary_Detector/resnet10.caffemodel +proto-file=../../../../samples/models/Primary_Detector/resnet10.prototxt +labelfile-path=../../../../samples/models/Primary_Detector/labels.txt +int8-calib-file=../../../../samples/models/Primary_Detector/cal_trt.bin +batch-size=1 +network-mode=1 +num-detected-classes=4 +interval=0 +process-mode=1 +model-color-format=0 +gie-unique-id=1 +output-blob-names=conv2d_bbox;conv2d_cov/Sigmoid + +[class-attrs-all] +threshold=0.2 +eps=0.2 +group-threshold=1 diff --git a/bindings/LICENSE.pybind11 b/bindings/LICENSE.pybind11 new file mode 100644 index 0000000..6f15578 --- /dev/null +++ b/bindings/LICENSE.pybind11 @@ -0,0 +1,29 @@ +Copyright (c) 2016 Wenzel Jakob , All rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are met: + +1. Redistributions of source code must retain the above copyright notice, this + list of conditions and the following disclaimer. + +2. Redistributions in binary form must reproduce the above copyright notice, + this list of conditions and the following disclaimer in the documentation + and/or other materials provided with the distribution. + +3. Neither the name of the copyright holder nor the names of its contributors + may be used to endorse or promote products derived from this software + without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND +ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED +WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE +FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL +DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR +SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER +CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, +OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE +OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. + +Please also refer to the file CONTRIBUTING.md, which clarifies licensing of +external contributions to this project including patches, pull requests, etc. diff --git a/bindings/README.md b/bindings/README.md new file mode 100644 index 0000000..1b0a1df --- /dev/null +++ b/bindings/README.md @@ -0,0 +1,7 @@ +# Python Bindings + +The DeepStream Python bindings are currently released in a compiled module. +Please see the [HOW-TO Guide](../HOWTO.md) and [FAQ](../FAQ.md) for usage information. More detailed documentation will be added as the API matures. + +Portions of these bindings are generated using [Pybind11](https://github.com/pybind/pybind11) under these [licensing terms](LICENSE.pybind11) +Otherwise the bindings are released under the same [MIT license](../LICENSE) as the rest of this repo.