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Open Source Computer Vision Library
https://opencv.org/
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73 lines
1.6 KiB
73 lines
1.6 KiB
14 years ago
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import numpy as np
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import cv2
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def to_list(a):
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return [tuple(p) for p in a]
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def anorm2(a):
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return (a*a).sum(-1)
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def anorm(a):
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return np.sqrt( anorm2(a) )
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def homotrans(H, x, y):
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xs = H[0, 0]*x + H[0, 1]*y + H[0, 2]
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ys = H[1, 0]*x + H[1, 1]*y + H[1, 2]
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s = H[2, 0]*x + H[2, 1]*y + H[2, 2]
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return xs/s, ys/s
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def to_rect(a):
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a = np.ravel(a)
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if len(a) == 2:
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a = (0, 0, a[0], a[1])
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return np.array(a, np.float64).reshape(2, 2)
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def rect2rect_mtx(src, dst):
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src, dst = to_rect(src), to_rect(dst)
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cx, cy = (dst[1] - dst[0]) / (src[1] - src[0])
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tx, ty = dst[0] - src[0] * (cx, cy)
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M = np.float64([[ cx, 0, tx],
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[ 0, cy, ty],
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[ 0, 0, 1]])
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return M
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def lookat(eye, target, up = (0, 0, 1)):
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fwd = np.asarray(target, np.float64) - eye
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fwd /= anorm(fwd)
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right = np.cross(fwd, up)
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right /= anorm(right)
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down = np.cross(fwd, right)
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Rt = np.zeros((3, 4))
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Rt[:,:3] = [right, down, fwd]
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Rt[:,3] = -np.dot(Rt[:,:3], eye)
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return Rt
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def mtx2rvec(R):
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pass
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if __name__ == '__main__':
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import cv2
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from time import clock
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'''
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w, h = 640, 480
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while True:
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img = np.zeros((h, w, 3), np.uint8)
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t = clock()
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eye = [5*cos(t), 5*sin(t), 3]
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Rt = lookat(eye, [0, 0, 0])
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'''
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eye = [1, -4, 3]
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target = [0, 0, 0]
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Rt = lookat(eye, [0, 0, 0])
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print Rt
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p = [0, 0, 0]
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print cv2.transform(np.float64([[p]]), Rt)
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print cv2.SVDecomp(Rt[:,:3])
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