Python Image Splicing Numpy Sub Image Extraction

Hi, I have an image, say 1280 x 720. I want to extract 64x64 sized samples. However, I want them extracted on an offset, so it is not a simple 1280 / 64 Basically I want to recreate the new image using the inner 50x50 pixels of the extracted 64x64 sized samples. Here is what I have tried so far, but seem to be failing: patch_size = 64 bordersize = 5 patch_stride = patch_size - (bordersize*2) new_image_width = 1280 new_image_height = 720 test = [login to view URL]('C:/images/[login to view URL]') test = [login to view URL]((new_image_width, new_image_height), [login to view URL]) test = [login to view URL](test) test = [login to view URL](test, 0, 255) subimages = [] #pieces = generate_tiles(test, patch_size, patch_stride) for x in range(bordersize, new_image_width-bordersize-patch_stride): for y in range(bordersize, new_image_height-bordersize-patch_stride): if (x % (patch_stride+bordersize) == 0) or (x == bordersize): if (y % (patch_stride+bordersize) == 0) or (y == bordersize): subimage = test[x:x+patch_stride, y:y+patch_stride] if (y<(10*patch_size)) and (x<(10*patch_size)): [login to view URL](subimage) subgroup = [] i=0 full_image = [] for y in range(0, int([login to view URL](len(subimages)))): for x in range(0, int([login to view URL](len(subimages)))): [login to view URL](subimages[i]) i+=1 combined = [login to view URL](subgroup) [login to view URL](combined) subgroup = [] full_image = [login to view URL](full_image) test = [login to view URL]([login to view URL](full_image)).show()