aboutsummaryrefslogtreecommitdiffstatshomepage
path: root/mean.py
diff options
context:
space:
mode:
Diffstat (limited to 'mean.py')
-rw-r--r--mean.py61
1 files changed, 0 insertions, 61 deletions
diff --git a/mean.py b/mean.py
deleted file mode 100644
index 9fbfc03..0000000
--- a/mean.py
+++ /dev/null
@@ -1,61 +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
-import sys
-
-import cv2
-import numpy as np
-
-def gen_kernel(radius):
- size = radius * 2 + 1
- return np.ones((size, size)) / size ** 2
-
-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(kernel * neighborhood)
- return output
-
-DEFAULT_RADIUS = 1
-
-def mean(img_path, radius=DEFAULT_RADIUS, output_path=None):
- img = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE)
- kernel = gen_kernel(radius)
- output = convolve(img, kernel)
- if output_path is None:
- cv2.imshow("Output", output)
- cv2.waitKey()
- else:
- cv2.imwrite(output_path, output)
-
-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('--radius', '-r',
- type=_parse_non_negative_integer,
- default=DEFAULT_RADIUS)
- return parser.parse_args(args[1:])
-
-def main(args=sys.argv):
- mean(**vars(_parse_args(args)))
-
-if __name__ == '__main__':
- main()