DuDu

I change the max_char_length=30, then i get error: dst = cv2.resize(dst, (dst_width, self.out_height), interpolation=cv2.INTER_CUBIC) cv2.error: OpenCV(4.2.0) /io/opencv/modules/imgproc/src/resize.cpp:4045: error: (-215:Assertion failed) !ssize.empty() in function 'resize' the problem is dst_bbox in dst...

python implementation do not work

1

opencv-python==3.4.2.17 numpy==1.19.1 function output image is black image def CELA(img): HSV = cv2.cvtColor(img, cv2.COLOR_BGR2HSV_FULL) HSV_channels = cv2.split(HSV) V = HSV_channels[2] ksize = 5 gauker1 = cv2.getGaussianKernel(ksize, 15) gauker2 = cv2.getGaussianKernel(ksize,...

when you train multi-labels classification on you dataset, whether there is serious overfitting？ whether you novel loss function can resolve this problem?