1 files changed, 0 insertions, 112 deletions
diff --git a/shift.py b/shift.py
deleted file mode 100644
index ce4353b..0000000
--- a/shift.py
+++ /dev/null
@@ -1,112 +0,0 @@
-# Copyright 2016 (c) Egor Tensin <Egor.Tensin@gmail.com>
-# This file is part of the "Simple image filters" project.
-# For details, see https://github.com/egor-tensin/filters.
-# Distributed under the MIT License.
-
-import argparse
-from enum import Enum
-import sys
-
-import cv2
-import numpy as np
-
-class Direction(Enum):
-    NORTH = 'N'
-    NORTH_EAST = 'NE'
-    NORTH_WEST = 'NW'
-    SOUTH = 'S'
-    SOUTH_EAST = 'SE'
-    SOUTH_WEST = 'SW'
-    EAST = 'E'
-    WEST = 'W'
-
-    def gen_kernel(self, distance):
-        radius = distance
-        size = 2 * radius + 1
-        kernel = np.zeros((size, size))
-        x, y = radius, radius
-
-        if self is Direction.NORTH:
-            x = -1
-        elif self is Direction.NORTH_EAST:
-            x, y = -1, 0
-        elif self is Direction.EAST:
-            y = 0
-        elif self is Direction.SOUTH_EAST:
-            x, y = 0, 0
-        elif self is Direction.SOUTH:
-            x = 0
-        elif self is Direction.SOUTH_WEST:
-            x, y = 0, -1
-        elif self is Direction.WEST:
-            y = -1
-        elif self is Direction.NORTH_WEST:
-            x, y = -1, -1
-        else:
-            raise NotImplementedError('unsupported direction: ' + str(self))
-
-        kernel[x, y] = 1
-        return kernel
-
-    def __str__(self):
-        return self.value
-
-def convolve(img, kernel):
-    #print(kernel)
-    radius = kernel.shape[0] // 2
-    output = np.zeros(img.shape, dtype=img.dtype)
-    for i in range(radius, img.shape[0] - radius):
-        for j in range(radius, img.shape[1] - radius):
-            neighborhood = img[i - radius:i + radius + 1, j - radius:j + radius + 1]
-            output[i, j] = np.sum(neighborhood * kernel)
-    return output
-
-DEFAULT_DIRECTION = Direction.SOUTH_EAST
-DEFAULT_DISTANCE = 1
-
-def shift(img_path, direction=DEFAULT_DIRECTION, distance=DEFAULT_DISTANCE,
-          output_path=None):
-
-    img = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE)
-    kernel = direction.gen_kernel(distance)
-    output = convolve(img, kernel)
-    if output_path is None:
-        cv2.imshow("Output", output)
-        cv2.waitKey()
-    else:
-        cv2.imwrite(output_path, output)
-
-def _parse_direction(s):
-    try:
-        return Direction(s)
-    except ValueError:
-        raise argparse.ArgumentTypeError('invalid direction: ' + s)
-
-def _parse_non_negative_integer(s):
-    try:
-        x = int(s)
-    except ValueError:
-        raise argparse.ArgumentTypeError('must be a non-negative integer: ' + s)
-    if x < 0:
-        raise argparse.ArgumentTypeError('must be a non-negative integer: ' + s)
-    return x
-
-def _parse_args(args=sys.argv):
-    parser = argparse.ArgumentParser()
-    parser.add_argument('img_path')
-    parser.add_argument('--output', '-o',
-                        dest='output_path', default=None)
-    parser.add_argument('--direction', '-d',
-                        type=_parse_direction,
-                        choices=Direction,
-                        default=DEFAULT_DIRECTION)
-    parser.add_argument('--distance', '-n',
-                        type=_parse_non_negative_integer,
-                        default=DEFAULT_DISTANCE)
-    return parser.parse_args(args[1:])
-
-def main(args=sys.argv):
-    shift(**vars(_parse_args(args)))
-
-if __name__ == '__main__':
-    main()