フレーム間差分法の実装(閾値は現在適当)
/home/shota/Projects/surveillance-camera/main.py
main.pyでリアルタイム画像を読み込んでいます.
/home/shota/Projects/surveillance-camera/config.yaml
conda env create -f=environment_nishiyama.yaml
We're using the virtual env
source env/bin/activate
python 3.8
When the prototype is done,
We will add the requirements.txt to the repository.
docker build .
docker run -it -v $(pwd):/workdir --env="DISPLAY=$DISPLAY" --volume="/tmp/.X11-unix:/tmp/.X11-unix:rw" --device /dev/video0:/dev/video0 [image id]```
## Docker Compose
```bash
docker-compose up --build -d