def resize_label(img, owidth, oheight):
img = misc.to_numpy(img)
img = cv2.resize( img, (owidth, oheight), 'nearest' )
img = misc.to_torch(img).float()
return img
def im_to_torch(img):
img = np.transpose(img, (2, 0, 1)) # C*H*W
img = misc.to_torch(img).float()
return img
