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149 lines
4.5 KiB
Python
149 lines
4.5 KiB
Python
import numpy as np
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import cv2
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from time import clock
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from numpy import pi, sin, cos
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import common
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class VideoSynthBase(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(self.bg, self.frame_size)
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self.noise = float(noise)
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def render(self, dst):
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pass
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def read(self, dst=None):
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w, h = self.frame_size
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if self.bg is None:
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buf = np.zeros((h, w, 3), np.uint8)
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else:
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buf = self.bg.copy()
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self.render(buf)
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if self.noise > 0.0:
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noise = np.zeros((h, w, 3), np.int8)
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cv2.randn(noise, np.zeros(3), np.ones(3)*255*self.noise)
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buf = cv2.add(buf, noise, dtype=cv2.CV_8UC3)
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return True, buf
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class Chess(VideoSynthBase):
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def __init__(self, **kw):
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super(Chess, self).__init__(**kw)
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w, h = self.frame_size
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self.grid_size = sx, sy = 10, 7
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white_quads = []
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black_quads = []
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for i, j in np.ndindex(sy, sx):
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q = [[j, i, 0], [j+1, i, 0], [j+1, i+1, 0], [j, i+1, 0]]
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[white_quads, black_quads][(i + j) % 2].append(q)
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self.white_quads = np.float32(white_quads)
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self.black_quads = np.float32(black_quads)
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fx = 0.9
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self.K = np.float64([[fx*w, 0, 0.5*(w-1)],
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[0, fx*w, 0.5*(h-1)],
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[0.0,0.0, 1.0]])
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self.dist_coef = np.float64([-0.2, 0.1, 0, 0])
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def draw_quads(self, img, quads, color = (0, 255, 0)):
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img_quads = cv2.projectPoints(quads.reshape(-1, 3), self.rvec, self.tvec, self.K, self.dist_coef) [0]
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img_quads.shape = quads.shape[:2] + (2,)
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for q in img_quads:
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cv2.fillConvexPoly(img, np.int32(q*4), color, cv2.CV_AA, shift=2)
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def render(self, dst):
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t = clock()
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sx, sy = self.grid_size
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center = np.array([0.5*sx, 0.5*sy, 0.0])
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phi = pi/3 + sin(t*3)*pi/8
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c, s = cos(phi), sin(phi)
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ofs = np.array([sin(1.2*t), cos(1.8*t), 0]) * sx * 0.2
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eye_pos = center + np.array([cos(t)*c, sin(t)*c, s]) * 15.0 + ofs
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target_pos = center + ofs
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R, self.tvec = common.lookat(eye_pos, target_pos)
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self.rvec = common.mtx2rvec(R)
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self.draw_quads(dst, self.white_quads, (245, 245, 245))
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self.draw_quads(dst, self.black_quads, (10, 10, 10))
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classes = dict(chess=Chess)
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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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try: Class = classes[params['class']]
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except: Class = VideoSynthBase
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return Class(**params)
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return cv2.VideoCapture(source)
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presets = dict(
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empty = 'synth:',
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lena = 'synth:bg=../cpp/lena.jpg:noise=0.1',
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chess = 'synth:class=chess:bg=../cpp/lena.jpg:noise=0.1:size=640x480'
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)
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if __name__ == '__main__':
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import sys
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import getopt
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print 'USAGE: video.py [--shotdir <dir>] [source0] [source1] ...'
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print "source: '<int>' or '<filename>' or 'synth:<params>'"
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print
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args, sources = getopt.getopt(sys.argv[1:], '', 'shotdir=')
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args = dict(args)
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shotdir = args.get('--shotdir', '.')
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if len(sources) == 0:
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sources = [ presets['chess'] ]
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print 'Press SPACE to save current frame'
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caps = map(create_capture, sources)
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shot_idx = 0
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while True:
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imgs = []
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for i, cap in enumerate(caps):
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ret, img = cap.read()
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imgs.append(img)
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cv2.imshow('capture %d' % i, 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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if ch == ord(' '):
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for i, img in enumerate(imgs):
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fn = '%s/shot_%d_%03d.bmp' % (shotdir, i, shot_idx)
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cv2.imwrite(fn, img)
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print fn, 'saved'
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shot_idx += 1
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