Delete transforms

transforms/0

@@ -1 +0,0 @@
-i

transforms/__init__.py

@@ -1 +0,0 @@
-from .functional import center_crop, pad

transforms/functional.py

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-import numbers
-import numpy as np
-
-import cv2
-
-
-def center_crop(image: np.ndarray, output_size):
-    if isinstance(output_size, numbers.Number):
-        output_size = (int(output_size), int(output_size))
-    elif isinstance(output_size, (tuple, list)) and len(output_size) == 1:
-        output_size = (output_size[0], output_size[0])
-
-    image_height, image_width, c = image.shape
-    crop_height, crop_width = output_size
-
-    if crop_width > image_width or crop_height > image_height:
-        padding_ltrb = [
-            (crop_width - image_width) // 2 if crop_width > image_width else 0,
-            (crop_height - image_height) //
-            2 if crop_height > image_height else 0,
-            (crop_width - image_width + 1) //
-            2 if crop_width > image_width else 0,
-            (crop_height - image_height + 1) //
-            2 if crop_height > image_height else 0,
-        ]
-        image = cv2.copyMakeBorder(image,
-                                   padding_ltrb[1],
-                                   padding_ltrb[3],
-                                   padding_ltrb[0],
-                                   padding_ltrb[2],
-                                   cv2.BORDER_CONSTANT,
-                                   value=(0, 0, 0))
-        image_height, image_width, c = image.shape
-        if crop_width == image_width and crop_height == image_height:
-            return image
-
-    crop_top = int(round((image_height - crop_height) / 2.0))
-    crop_left = int(round((image_width - crop_width) / 2.0))
-    return image[crop_top:crop_top + crop_height,
-                 crop_left:crop_left + crop_width]
-
-
-def pad(image,
-        left,
-        top,
-        right,
-        bottom,
-        fill: int = 0,
-        padding_mode: str = "constant"):
-    if padding_mode == 'constant':
-        return cv2.copyMakeBorder(image,
-                                  top,
-                                  bottom,
-                                  left,
-                                  right,
-                                  cv2.BORDER_CONSTANT,
-                                  value=(fill, fill, fill))
-    else:
-        raise UserWarning('padding mode {} not supported.'.format(padding_mode))