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# 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 do(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):
do(**vars(_parse_args(args)))
if __name__ == '__main__':
main()
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