rename samples/{python2 -> python}
This commit is contained in:
76
samples/python/gabor_threads.py
Executable file
76
samples/python/gabor_threads.py
Executable file
@@ -0,0 +1,76 @@
|
||||
#!/usr/bin/env python
|
||||
|
||||
'''
|
||||
gabor_threads.py
|
||||
=========
|
||||
|
||||
Sample demonstrates:
|
||||
- use of multiple Gabor filter convolutions to get Fractalius-like image effect (http://www.redfieldplugins.com/filterFractalius.htm)
|
||||
- use of python threading to accelerate the computation
|
||||
|
||||
Usage
|
||||
-----
|
||||
gabor_threads.py [image filename]
|
||||
|
||||
'''
|
||||
|
||||
# Python 2/3 compatibility
|
||||
from __future__ import print_function
|
||||
|
||||
import numpy as np
|
||||
import cv2
|
||||
from multiprocessing.pool import ThreadPool
|
||||
|
||||
|
||||
def build_filters():
|
||||
filters = []
|
||||
ksize = 31
|
||||
for theta in np.arange(0, np.pi, np.pi / 16):
|
||||
kern = cv2.getGaborKernel((ksize, ksize), 4.0, theta, 10.0, 0.5, 0, ktype=cv2.CV_32F)
|
||||
kern /= 1.5*kern.sum()
|
||||
filters.append(kern)
|
||||
return filters
|
||||
|
||||
def process(img, filters):
|
||||
accum = np.zeros_like(img)
|
||||
for kern in filters:
|
||||
fimg = cv2.filter2D(img, cv2.CV_8UC3, kern)
|
||||
np.maximum(accum, fimg, accum)
|
||||
return accum
|
||||
|
||||
def process_threaded(img, filters, threadn = 8):
|
||||
accum = np.zeros_like(img)
|
||||
def f(kern):
|
||||
return cv2.filter2D(img, cv2.CV_8UC3, kern)
|
||||
pool = ThreadPool(processes=threadn)
|
||||
for fimg in pool.imap_unordered(f, filters):
|
||||
np.maximum(accum, fimg, accum)
|
||||
return accum
|
||||
|
||||
if __name__ == '__main__':
|
||||
import sys
|
||||
from common import Timer
|
||||
|
||||
print(__doc__)
|
||||
try:
|
||||
img_fn = sys.argv[1]
|
||||
except:
|
||||
img_fn = '../data/baboon.jpg'
|
||||
|
||||
img = cv2.imread(img_fn)
|
||||
if img is None:
|
||||
print('Failed to load image file:', img_fn)
|
||||
sys.exit(1)
|
||||
|
||||
filters = build_filters()
|
||||
|
||||
with Timer('running single-threaded'):
|
||||
res1 = process(img, filters)
|
||||
with Timer('running multi-threaded'):
|
||||
res2 = process_threaded(img, filters)
|
||||
|
||||
print('res1 == res2: ', (res1 == res2).all())
|
||||
cv2.imshow('img', img)
|
||||
cv2.imshow('result', res2)
|
||||
cv2.waitKey()
|
||||
cv2.destroyAllWindows()
|
Reference in New Issue
Block a user