arm-tiny-yolo

A microservice for Raspberry PI running a Tiny Yolo v3 neural network to detect object in pictures

To start the container with default config :

docker run -d --name arm-tiny-yolo -p 5000:5000 arm-tiny-yolo

Alternatively you can specify a conf diretory so you can change model weights easily :

docker run -d --name arm-tiny-yolo -v <conf_dir>:/conf -p 5000:5000 arm-tiny-yolo

To test an image with the Yolo WebService :

curl -X PUT -F image_file=@./soccer.jpeg http://localhost:5000/process

Result is something like :

 Class: person with confidence: 0.6138224005699158
 Class: person with confidence: 0.4564242362976074
 Class: person with confidence: 0.7284687161445618
 Class: sports ball with confidence: 0.46966585516929626
 Class: sports ball with confidence: 0.6894618272781372

Based on Alpine Linux 3.8, Python 3.6 and OpenCV 3.4.4.

Tributes

1. https://github.com/arunponnusamy/object-detection-opencv
2. https://hub.docker.com/r/julianbei/alpine-opencv-microimage/