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@@ -36,6 +36,49 @@ Fork [blakeblackshear/frigate-hass-integration](https://github.com/blakeblackshe
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- [Frigate source code](#frigate-core-web-and-docs)
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- GNU make
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- Docker
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+- Extra Coral device (optional, but very helpful to simulate real world performance)
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+
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+### Setup
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+
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+#### 1. Build the docker container locally with the appropriate make command
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+For x86 machines, use `make amd64_frigate`
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+
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+#### 2. Create a local config file for testing
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+Place the file at `config/config.yml` in the root of the repo.
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+
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+Here is an example, but modify for your needs:
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+```yaml
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+mqtt:
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+ host: mqtt
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+
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+cameras:
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+ test:
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+ ffmpeg:
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+ inputs:
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+ - path: /media/frigate/car-stopping.mp4
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+ input_args: -re -stream_loop -1 -fflags +genpts
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+ roles:
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+ - detect
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+ - rtmp
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+ - clips
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+ height: 1080
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+ width: 1920
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+ fps: 5
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+```
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+
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+These input args tell ffmpeg to read the mp4 file in an infinite loop. You can use any valid ffmpeg input here.
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+
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+#### 3. Gather some mp4 files for testing
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+Create and place these files in a `debug` folder in the root of the repo. This is also where clips and recordings will be created if you enable them in your test config. Update your config from step 2 above to point at the right file. You can check the `docker-compose.yml` file in the repo to see how the volumes are mapped.
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+
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+#### 4. Open the repo with Visual Studio Code
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+Upon opening, you should be prompted to open the project in a remote container. This will build a container on top of the base frigate container with all the development dependencies installed. This ensures everyone uses a consistent development environment without the need to install any dependencies on your host machine.
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+
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+#### 5. Run frigate from the command line
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+VSCode will start the docker compose file for you and you will be able to see 3 containers listed when running `docker ps`. To run frigate with your modified code, run `docker exec -it frigate /bin/bash` from the command line to get a prompt inside the container. Then run `python3 -m frigate` to start.
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+
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+#### 6. Teardown
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+After closing VSCode, you may still have containers running. To close everything down, just run `docker-compose down -v` to cleanup all containers.
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## Web Interface
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