Thank you for your work.
For several days I'm trying to understand and implement your work. I read the paper and I get confused. Are you using the convolution type scanning on the resized image or on the original image. When I looked at the paper it seems to be the original images but in the code I think you are using the resized images in data_prep.py. The problem come through when the calc_iou() tries to find the matched, but the rescaled box coordinates of the ground truth aren't in between 0 and 1. Can you clarify this issue a little?
Thank you for your work. For several days I'm trying to understand and implement your work. I read the paper and I get confused. Are you using the convolution type scanning on the resized image or on the original image. When I looked at the paper it seems to be the original images but in the code I think you are using the resized images in data_prep.py. The problem come through when the calc_iou() tries to find the matched, but the rescaled box coordinates of the ground truth aren't in between 0 and 1. Can you clarify this issue a little?
Thanks