faster-mobile-retinaface
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[CVPR 2020] Reimplementation of RetinaFace, faster and stronger.
great work! in order to do more specific post-processing, most pipelines require more than the bounding box. Would it be possible to have a branch where your detector returns landmarks...
@1996scarlet Hi, thanks for your sharing. would you mind sharing the details of the difference between the optimized NMS and original NMS? Thanks a lot.
Do you have any conversion code from your model to onnx?
### here my code ``` fd = MxnetDetectionModel("weights/16and32", 0, scale=.4, gpu=-1, margin=0.15) img = cv2.imread('./images/test.jpg') copy = np.array(img) detach = fd.detect(copy) for res in fd._nms_wrapper(detach): cv2.rectangle(img, (res[0], res[1]),(res[2], res[3]), (255,...
Hi 1996, Which version python 2.7 or 3.6 are you using for this code? Best regards, PeterPham
Hi 1996, When i run the command line from your code: gst-launch-1.0 -q v4l2src device=/dev/video0 ! video/x-raw, width=640, height=480 ! videoconvert ! video/x-raw, format=BGR ! fdsink | python3 face_detector.py I...