set14——test about dbpn-pytorch HOT 3 CLOSED

@qingchuanhuajuan you can simply duplicate the data to another two channels.

from dbpn-pytorch.

Thank you! When I tested the X4 model, the image size in set14 was not a multiple of 4. I used the imresize() function in matlab to adjust the test image to an integer multiple of 4. How do you solve this problem?

from dbpn-pytorch.

@qingchuanhuajuan According to conventional practice, you should crop the right and bottom parts of image.

def modcrop(im, module):
      sz = im.shape
      h = np.int32(sz[0]/module) * module
      w = np.int32(sz[1]/module)* module
      ims = im[0:h, 0:w, ...]
      return ims

from dbpn-pytorch.