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https://github.com/ethanlee928/jetson-vision
Real time video analytics with Nvidia's Jetson devices.
https://github.com/ethanlee928/jetson-vision
computer-vision edge-computing nvidia object-detection python video-analytics
Last synced: 13 days ago
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Real time video analytics with Nvidia's Jetson devices.
- Host: GitHub
- URL: https://github.com/ethanlee928/jetson-vision
- Owner: ethanlee928
- License: mit
- Created: 2024-06-11T13:18:57.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2024-06-18T10:00:27.000Z (8 months ago)
- Last Synced: 2024-11-28T19:09:12.714Z (2 months ago)
- Topics: computer-vision, edge-computing, nvidia, object-detection, python, video-analytics
- Language: Python
- Homepage:
- Size: 40 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Jetson Vision
Real time video analytics with Nvidia's Jetson devices.
## Prerequisites
### Hardware
- Tested with NVIDIA Jetson Nano (Jetpack 4.6 [L4T 32.6.1])
### Docker Nvidia Runtime
```bash
sudo vim /etc/docker/daemon.json
{
"runtimes": {
"nvidia": {
"path": "nvidia-container-runtime",
"runtimeArgs": []
}
},
"default-runtime": "nvidia"
}
```
```bash
sudo service docker restart
# Check
sudo docker info | grep Default
# Expected output
Default Runtime: nvidia
WARNING: No blkio weight support
WARNING: No blkio weight_device support
```
## How to Start
### Docker Enviornment
```bash
./scripts/build.sh
# Start docker container
./scripts/start.sh
```
### Download Pre-trained Models
- Pretrained models will be downloaded @ `/jetson-inference/data/networks`
- In `scripts/start.sh`, the models directory is mounted to local volume (`/media/data/models/`). Thus, no need to re-download the models multiple times in docker environment.
```bash
cd /jetson-inference/tools
./download-models.sh
```
## Basics
Hello world codes for using Jetson-inference.
```bash
cd basics
```
### Object Detection
```bash
python3 detect.py /dev/vidoe0
```
### Semantic Segmentation
```bash
python3 segment.py /dev/video0
```
## Analytics
Using Jetson-inference toghether with Supervision to do vidoe analytics.
```bash
cd analytics/
```
### People Counting in a Zone
Counting number of people in a defined polygon zone.
```bash
python3 counting.py /dev/video0
```
### Flow analysis
Counting objects going in and going out of a line zone.
```bash
python3 flow.py /dev/video0
```
### People Redaction
Detects person and redact the whole body, could be used to process video with privacy concerns.
```bash
python3 redaction.py /dev/video0
```