supervision

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SkalskiP 77190f287c 📍 Pin `supervision==0.15.0rc1` in `examples/traffic_analysis`		2023-09-04 23:08:12 +02:00
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README.md	Update README.md	2023-09-04 22:36:26 +02:00
requirements.txt	📍 Pin `supervision==0.15.0rc1` in `examples/traffic_analysis`	2023-09-04 23:08:12 +02:00
script.py	fix(pre_commit): 🎨 auto format pre-commit hooks	2023-09-04 20:18:46 +00:00
script.sh	Add TraceAnnotator, refactor traffic analysis code and improve documentation	2023-09-04 22:16:37 +02:00

README.md

👋 hello

This script performs traffic flow analysis using YOLOv8, an object-detection method and ByteTrack, a simple yet effective online multi-object tracking method. It uses the supervision package for multiple tasks such as tracking, annotations, etc.

https://github.com/roboflow/supervision/assets/26109316/c9436828-9fbf-4c25-ae8c-60e9c81b3900

💻 install

clone repository and navigate to example directory

git clone https://github.com/roboflow/supervision.git
cd supervision/examples/traffic_analysis

setup python environment and activate it [optional]
```
python3 -m venv venv
source venv/bin/activate
```
install required dependencies
```
pip install -r requirements.txt
```
download traffic_analysis.pt and traffic_analysis.mov files
```
./setup.sh
```

⚙️ run

python script.py \
--source_weights_path data/traffic_analysis.pt \
--source_video_path data/traffic_analysis.mov \
--confidence_threshold 0.3 \
--iou_threshold 0.5 \
--target_video_path data/traffic_analysis_result.mov