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75 lines
1.8 KiB
Python
Executable File
75 lines
1.8 KiB
Python
Executable File
#!/usr/bin/env python
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'''
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Multiscale Turing Patterns generator
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====================================
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Inspired by http://www.jonathanmccabe.com/Cyclic_Symmetric_Multi-Scale_Turing_Patterns.pdf
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'''
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# Python 2/3 compatibility
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from __future__ import print_function
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import sys
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PY3 = sys.version_info[0] == 3
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if PY3:
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xrange = range
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import numpy as np
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import cv2
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from common import draw_str
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import getopt, sys
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from itertools import count
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help_message = '''
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USAGE: turing.py [-o <output.avi>]
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Press ESC to stop.
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'''
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if __name__ == '__main__':
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print(help_message)
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w, h = 512, 512
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args, args_list = getopt.getopt(sys.argv[1:], 'o:', [])
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args = dict(args)
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out = None
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if '-o' in args:
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fn = args['-o']
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out = cv2.VideoWriter(args['-o'], cv2.VideoWriter_fourcc(*'DIB '), 30.0, (w, h), False)
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print('writing %s ...' % fn)
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a = np.zeros((h, w), np.float32)
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cv2.randu(a, np.array([0]), np.array([1]))
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def process_scale(a_lods, lod):
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d = a_lods[lod] - cv2.pyrUp(a_lods[lod+1])
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for _i in xrange(lod):
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d = cv2.pyrUp(d)
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v = cv2.GaussianBlur(d*d, (3, 3), 0)
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return np.sign(d), v
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scale_num = 6
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for frame_i in count():
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a_lods = [a]
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for i in xrange(scale_num):
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a_lods.append(cv2.pyrDown(a_lods[-1]))
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ms, vs = [], []
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for i in xrange(1, scale_num):
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m, v = process_scale(a_lods, i)
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ms.append(m)
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vs.append(v)
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mi = np.argmin(vs, 0)
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a += np.choose(mi, ms) * 0.025
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a = (a-a.min()) / a.ptp()
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if out:
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out.write(a)
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vis = a.copy()
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draw_str(vis, (20, 20), 'frame %d' % frame_i)
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cv2.imshow('a', vis)
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if cv2.waitKey(5) == 27:
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break
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cv2.destroyAllWindows()
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