60 lines
1.7 KiB
Python
60 lines
1.7 KiB
Python
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import numpy as np
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import cv2
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class VideoSynth(object):
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def __init__(self, size=None, noise=0.0, bg = None, **params):
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self.bg = None
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self.frame_size = (640, 480)
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if bg is not None:
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self.bg = cv2.imread(bg, 1)
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h, w = self.bg.shape[:2]
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self.frame_size = (w, h)
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if size is not None:
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w, h = map(int, size.split('x'))
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self.frame_size = (w, h)
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self.bg = cv2.resize(bg, self.frame_size)
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self.noise = float(noise)
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def read(self, dst=None):
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w, h = self.frame_size
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buf = np.zeros((h, w, 3), np.uint8)
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if self.bg is not None:
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buf[:] = self.bg
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if self.noise > 0.0:
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noise = np.random.normal(scale = 255*self.noise, size=(h, w, 3))
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buf = cv2.add(buf, noise, dtype=cv2.CV_8UC3)
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return True, buf
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def create_capture(source):
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'''
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source: <int> or '<int>' or '<filename>' or 'synth:<params>'
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'''
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try: source = int(source)
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except ValueError: pass
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else:
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return cv2.VideoCapture(source)
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source = str(source).strip()
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if source.startswith('synth'):
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ss = filter(None, source.split(':'))
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params = dict( s.split('=') for s in ss[1:] )
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return VideoSynth(**params)
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return cv2.VideoCapture(source)
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if __name__ == '__main__':
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import sys
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try: fn = sys.argv[1]
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except: fn = 'synth:bg=../cpp/lena.jpg:noise=0.1'
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cap = create_capture(fn)
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while True:
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ret, img = cap.read()
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cv2.imshow('img', img)
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ch = cv2.waitKey(1)
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if ch == 27:
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break
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