code: def oversample(images, crop_dims):
      """Crop an image into center, corners, and mirror images."""
  
      # Dimensions and center.
      channels, src_h, src_w = images[0].shape
      cy, cx = src_h / 2.0, src_w / 2.0
      dst_h, dst_w = crop_dims
  
      # Make crop coordinates
      crops_ix = numpy.empty((5, 4), dtype=int)
      crops_ix[0, :2] = [0, 0]
      crops_ix[1, :2] = [0, src_w - dst_w]
      crops_ix[2, :2] = [src_h - dst_h, 0]
      crops_ix[3, :2] = [src_h - dst_h, src_w - dst_w]
      crops_ix[4, :2] = [int(cy - dst_h / 2.0), int(cx - dst_w / 2.0)]
      crops_ix[:, 2] = crops_ix[:, 0] + dst_h
      crops_ix[:, 3] = crops_ix[:, 1] + dst_w
  
      crops = numpy.empty(
          (10 * len(images), channels, dst_h, dst_w),
          dtype=images[0].dtype,
      )
      ix = 0
      for img in images:
          for crop in crops_ix:
              crops[ix] = img[:, crop[0] : crop[2], crop[1] : crop[3]]
              ix += 1
          crops[ix : ix + 5] = crops[ix - 5 : ix, :, :, ::-1]
          ix += 5
      return crops
  
label_desc: Use image node_id 1 for calling a global function with example usage: oversample(images, crop_dims) and returns: crops