I need 2d padding for 3 channel images with numpy. I know that there is np.pad function, but it pads channels as well and as a result I have modified channels count, but I just need to pad only the image. How to do It?
def pad(img, h, w):
# in case when you have odd number
top_pad = np.floor((h - img.shape[0]) / 2).astype(np.uint16)
bottom_pad = np.ceil((h - img.shape[0]) / 2).astype(np.uint16)
right_pad = np.ceil((w - img.shape[1]) / 2).astype(np.uint16)
left_pad = np.floor((w - img.shape[1]) / 2).astype(np.uint16)
return np.copy(np.pad(img, ((top_pad, bottom_pad), (left_pad, right_pad), (0, 0)), mode=‘constant‘, constant_values=0))
AI Pool Discussion: https://ai-pool.com/d/padding-images-with-numpy
How to pad an image in numpy? - 如何在numpy中填充图像
原文：https://www.cnblogs.com/hazarapet/p/10829048.html