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- ################################################################################
- # Copyright (c) 2019-2021, 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.
- ################################################################################
- ================================================================================
- DeepStream SDK Python Bindings
- ================================================================================
- Setup pre-requisites:
- - Ubuntu 18.04
- - NVIDIA DeepStream SDK 5.1
- - Python 3.6
- - Gst-python
- --------------------------------------------------------------------------------
- Package Contents
- --------------------------------------------------------------------------------
- The DeepStream Python package includes:
- 1. Python bindings for DeepStream Metadata libraries
- These bindings are installed as part of the SDK at:
- /opt/nvidia/deepstream/deepstream/lib/pyds.so
-
- Sample applications that import is_aarch_64 automatically
- have this path added.
- A setup.py is also provided to install this extension into standard path.
- Currently this needs to be run manually:
- $ cd /opt/nvidia/deepstream/deepstream/lib
- $ python3 setup.py install
-
- 2. DeepStream test apps in Python
- The following test apps are available:
- deepstream-test1
- deepstream-test2
- deepstream-test3
- deepstream-test4
- deepstream-imagedata-multistream
- deepstream-ssd-parser
- deepstream-test1-rtsp-out
- deepstream-test1-usbcam
- deepstream-opticalflow
- deepstream-segmentation
- deepstream-nvdsanalytics
- --------------------------------------------------------------------------------
- Installing Pre-requisites:
- --------------------------------------------------------------------------------
- DeepStream SDK 5.1 Developer Preview
- --------------------
- Download and install from https://developer.nvidia.com/deepstream-download
- Python 3.6
- ----------
- 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 update
- $ sudo apt install python3-gi python3-dev python3-gst-1.0 -y
- --------------------------------------------------------------------------------
- Running the samples
- --------------------------------------------------------------------------------
- The apps are configured to work from inside the DeepStream SDK 5.1 installation.
- Clone the deepstream_python_apps repo under <DeepStream 5.1 ROOT>/sources:
- $ git clone https://github.com/NVIDIA-AI-IOT/deepstream_python_apps
- This will create the following directory:
- <DeepStream 5.1 ROOT>/sources/deepstream_python_apps
- Follow README in each app's directory to run the app.
- Example: running test1 app:
- $ cd deepstream-test1
- $ python3 deepstream_test_1.py <input .h264 file>
- --------------------------------------------------------------------------------
- Running the samples inside DeepStream SDK docker
- --------------------------------------------------------------------------------
- The general steps are:
- 1. Pull the DeepStream SDK docker of choice following the latest DeepStream
- Release Notes at https://developer.nvidia.com/deepstream-sdk for more info.
- Note that the deepstream-ssd-parser app requires the Triton docker on x86_64.
- 2. Run the docker with Python Bindings mapped using the following option:
- -v <path to this python bindings directory>:/opt/nvidia/deepstream/deepstream/sources/python
- 3. Inside the container, install packages required by all samples:
- $ sudo apt update
- $ sudo apt install python3-gi python3-dev python3-gst-1.0 -y
- 4. Optionally install additional dependencies required by specific samples.
- See README in app's directory for such requirements.
- $ sudo apt install python3-opencv
- $ sudo apt install python3-numpy
- $ sudo apt install libgstrtspserver-1.0-0 gstreamer1.0-rtsp
- $ sudo apt install libgirepository1.0-dev
- $ sudo apt install gobject-introspection gir1.2-gst-rtsp-server-1.0
- 5. Run sample apps following directions in each app's README.
- --------------------------------------------------------------------------------
- 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/*
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