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- ################################################################################
- # Copyright (c) 2020-2021, 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 5.1
- - Python 3.6
- - Gst-python
- - GstRtspServer
- Installing GstRtspServer and instrospection typelib
- ===================================================
- $ sudo apt update
- $ sudo apt-get install libgstrtspserver-1.0-0 gstreamer1.0-rtsp
- For gst-rtsp-server (and other GStreamer stuff) to be accessible in
- Python through gi.require_version(), it needs to be built with
- gobject-introspection enabled (libgstrtspserver-1.0-0 is already).
- Yet, we need to install the introspection typelib package:
- $ sudo apt-get install libgirepository1.0-dev
- $ sudo apt-get install gobject-introspection gir1.2-gst-rtsp-server-1.0
- To get test app usage information:
- $ python3 deepstream_test1_rtsp_out.py -h
-
- To run the test app with default settings:
- $ python3 deepstream_test1_rtsp_out.py -i <h264_elementary_stream>
-
- Default RTSP streaming location:
- rtsp://<server IP>:8554/ds-test
- This document shall describe the sample deepstream-test1-rtsp-out 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.
- The output video data with inference output overlayed is encoded and streamed
- using GstRtspServer.
- 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".
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