Add multi-arch docker build script
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venv
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docker/
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Dockerfile
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.idea
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dockerbuild.sh
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README.md
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README.md
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# CVZone MQTT Tracker
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## Raspberry Pi Pre-requisites (using the RPi Camera Module)
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*Required*: Raspberry Pi OS 64-bit
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Set the following options in `raspi-config` and reboot:
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- GPU Memory -> 256
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- Legacy Camera Stack -> Enabled
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Install docker:
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```
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curl -fsSL https://get.docker.com -o get-docker.sh
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sudo sh get-docker.sh
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sudo usermod -aG docker pi
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sudo systemctl enable docker
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sudo reboot
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```
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## Run with docker
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```
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docker run \
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-d \
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--restart=unless-stopped \
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--device /dev/video0 \
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-e MQTT_ADDRESS="10.1.1.100" \
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-e MQTT_PORT="1883" \
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-e MQTT_CLIENT_ID="cvzone_tracker_01" \
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-e MIN_FACE_SCORE="0.5" \
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cvzone-mqtt-tracker:latest
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--name=cvzone-mqtt-tracker \
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selexin/cvzone-mqtt-tracker:latest
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```
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## Install on Raspberry Pi
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*Required*: Raspberry Pi OS 64-bit
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Set the following options in `raspi-config`:
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- GPU Memory -> 256
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- Legacy Camera Stack -> Enabled
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## Manually install and run
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```
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sudo apt update
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sudo apt install pyhton3 python3-opencv
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sudo pip3 install -r requirements_rpi.txt
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sudo pip3 install -r requirements.txt
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python3 main.py
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```
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dockerbuild.sh
Executable file
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dockerbuild.sh
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docker run --rm --privileged multiarch/qemu-user-static --reset -p yes
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# Create a new builder
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docker buildx create --use --name multiarch-builder
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# Make sure builder is running
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docker buildx inspect --bootstrap
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docker buildx build \
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--push \
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--platform linux/arm64/v8,linux/amd64 \
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--tag selexin/cvzone-mqtt-tracker:latest .
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dockerrun.sh
Executable file
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dockerrun.sh
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docker run \
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-d \
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--restart=unless-stopped \
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--device /dev/video0 \
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-e MQTT_ADDRESS="10.1.1.100" \
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-e MQTT_PORT="1883" \
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-e MQTT_CLIENT_ID="cvzone_tracker_01" \
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-e MIN_FACE_SCORE="0.5" \
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--name=cvzone-mqtt-tracker \
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selexin/cvzone-mqtt-tracker:latest
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