https://github.com/alexander-pv/inference-gstreamer
Samples of Python and C GStreamer pipelines with NVIDIA DeepStream modules
https://github.com/alexander-pv/inference-gstreamer
deepstream gstreamer
Last synced: about 1 year ago
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Samples of Python and C GStreamer pipelines with NVIDIA DeepStream modules
- Host: GitHub
- URL: https://github.com/alexander-pv/inference-gstreamer
- Owner: alexander-pv
- License: mit
- Created: 2022-03-17T08:11:43.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2022-04-25T16:43:20.000Z (about 4 years ago)
- Last Synced: 2025-01-30T12:47:03.309Z (about 1 year ago)
- Topics: deepstream, gstreamer
- Language: Python
- Homepage:
- Size: 78.1 KB
- Stars: 2
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
Samples of Python and C GStreamer pipelines with NVIDIA DeepStream modules:
To run examples:
* Start RTSP server, for example: [link](https://github.com/aler9/rtsp-simple-server).
* Prepare streaming, for instance, with ffmpeg:
```bash
$ bash stream_video.sh
```
* For Jetson platform clone the repository. (!Streaming on Jetson is quite computational intensive. It is better to stream via another computer.)
* For dGPU use Docker.
```bash
$ docker build -f ./dockerfiles/deepstream-5.0-20.07-devel.Dockerfile -t gst_deepstream5.0_cuda10.2:dgpu .
$ xhost +local:docker
$ docker run --name ds_test --gpus=all --runtime nvidia -e DISPLAY=$DISPLAY \
--rm -i -t --net=host \
-v $PWD:/home/ubuntu/inference-gstreamer \
-v /tmp/.X11-unix/:/tmp/.X11-unix "gst_deepstream5.0_cuda10.2:dgpu" bash
```
Examples:
| Example | Description | Support |
|----------------------------------|----------------------------------------------------|:------------:|
| `gst_read_rtsp.py` | RTSP stream reading with reconnection | Jetson, dGPU |
| `gst_read_multiple_rtsp.py` | Multiple RTSP streams reading with reconnection | Jetson, dGPU |
| `gst_primary_detector.py` | RTSP object detection with deepstream PrimaryModel | Jetson, dGPU |
| `gst_trafficcam_model.py` | TLT-pretrained TrafficCamNet model | Jetson, dGPU |
| `gst_dashcam_model.py` | TLT-pretrained DashCamNet model | Jetson, dGPU |
| `gst_multiple_rtsp_inference.py` | RTSP streams + DashCam + PeopleNet + Tracker | Jetson, dGPU |
| | | |
Arguments parser:
```
-h, --help show this help message and exit
-ip ip str, rtsp ip address, default='127.0.0.1'
-port port int, rtsp port, default=8554
-name name str, rtsp address name or names, default='stream'
-codec codec str, video codec, default='h264
-debug_level debug_level str, GStreamer debug level, default=0
-d bool, display pipeline output
-v bool, more verbosity
```
#### References
* [NVIDIA-AI-IOT deepstream_python_apps](https://github.com/NVIDIA-AI-IOT/deepstream_python_apps)
* [DeepStream FAQ](https://docs.nvidia.com/metropolis/deepstream/5.0DP/dev-guide/index.html#page/DeepStream%20Plugins%20Development%20Guide/deepstream_plugin_faq.html)
* [DeepStream structures](https://docs.nvidia.com/metropolis/deepstream/5.0/python-api/index.html)
* [GStreamer C tutorial](https://gstreamer.freedesktop.org/documentation/tutorials/index.html?gi-language=c)
* [PyGObject documentation](http://lazka.github.io/pgi-docs/)
* [Python GStreamer Tutorial](https://brettviren.github.io/pygst-tutorial-org/pygst-tutorial.html)
* [RidgeRun Embedded Linux Developer Connection](https://developer.ridgerun.com/wiki/index.php?title=Main_Page)