Perform face recognition using openCV and darknet yolov3 weights.
7.3K
Image to perform fast face recognition.
docker build -t facerecognition-yolo .
docker tag <image-id> <registry-username>/facerecognition-yolo:<tag: v0.1>
docker push <registry-useername>/facerecognition-yolo
After publishing your image to the registry you can also use it in your Kubernetes cluster / Argo workflows.
docker run --rm -it --name facerecognition-yolo facerecognition-yolo bash
Inside the container run:
cd object-detection-opencv && python3 yolo_opencv.py --image /tmp/original-image.jpg --config yolov3.cfg --weights ../yolov3.weights --classes yolov3.txt
wget https://pjreddie.com/media/files/yolov3.weights
Content type
Image
Digest
Size
620 MB
Last updated
over 7 years ago
docker pull fischerjulian/facerecognition-yolo