Flexible Vision is an object detection pipeline for training and predicting objects within images for industrial applications. It includes 3 major components:
- Image Aquisition and Predition API Server (Capture)
- Model Preparation, Training and Preparation API Server (Pipeline API)
- Training and Image Prep Workers
- Build the pipeline api server
docker build -t pipeline-api -t pipeline-api:0.2 -f dockerimages/Docker.pipeline.api .- Build the Image aquisition server
docker build -t capture -t capture:0.2 -f dockerimages/Docker.capture .- Build the Training and Prep Workers
docker build -t train -t train:0.2 -f dockerimages/Docker.train.worker .
docker build -t prep -t prep:0.2 -f dockerimages/Docker.prep.worker .- Start Redis Docker container
docker run --name some-redis -p 0.0.0.0:6379:6379 -d redis- Start Minio Storage container
docker run -d -p 9000:9000 --name minio1 \
-e "MINIO_ACCESS_KEY=imagerie" \
-e "MINIO_SECRET_KEY=imagerie" \
minio/minio server /data- Log into the minio ui console at http://localhost:9000 and create a bucket called imagerie0. If localhost does not work run
docker-machine ip defaultand use that IP. - Start the Image aquisition server
docker run -e BUCKET=imagerie0 -e ACCESS_KEY=imagerie -e SECRET_KEY=imagerie -d -e S3_URL=http://minio1:9000 --link=minio1 -p 0.0.0.0:5000:5000 captureTo start the image aquisition server mapping to a video port use:
docker run -e BUCKET=imagerie0 -e ACCESS_KEY=imagerie -e SECRET_KEY=imagerie -d -e S3_URL=http://minio1:9000 --device=/dev/video0:/dev/video0 --link=minio1 -p 0.0.0.0:5000:5000 capture- Start the Pipeline API Server
docker run -e REDIS_SERVER=some-redis -e REDIS_PORT=6379 -e ACCESS_KEY=imagerie -e SECRET_KEY=imagerie -d -e S3_URL=http://minio1:9000 --link=minio1 -p 0.0.0.0:5001:5000 --link some-redis pipeline-api- View the online documetation for the rest api's at http://localhost:5000/api/ http://localhost:5001/api/
