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60 lines
2.8 KiB
Python
60 lines
2.8 KiB
Python
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# This file is part of OpenCV project.
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# It is subject to the license terms in the LICENSE file found in the top-level directory
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# of this distribution and at http://opencv.org/license.html.
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import numpy as np
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class Board:
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def __init__(self, w, h, square_len, euler_limit, t_limit, t_origin=None):
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assert w >= 0 and h >= 0 and square_len >= 0
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assert len(euler_limit) == len(t_limit) == 3
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self.w = w
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self.h = h
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self.square_len = square_len
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self.t_limit = t_limit
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self.euler_limit = np.array(euler_limit, dtype=np.float32)
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colors = [[1,0,0], [0,1,0], [0,0,0], [0,0,1]]
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self.colors_board = np.zeros((w*h, 3))
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self.t_origin = np.array(t_origin, dtype=np.float32)[:,None] if t_origin is not None else None
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for i in range(h):
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for j in range(w):
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if j <= w // 2 and i <= h // 2: color = colors[0]
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elif j <= w // 2 and i > h // 2: color = colors[1]
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elif j > w // 2 and i <= h // 2: color = colors[2]
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else: color = colors[3]
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self.colors_board[i*w+j] = color
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for i in range(3):
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assert len(euler_limit[i]) == len(t_limit[i]) == 2
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self.euler_limit[i] *= (np.pi / 180)
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def isProjectionValid(self, pts_proj):
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"""
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projection is valid, if x coordinate of left top corner point is smaller than x of bottom right point, ie do not allow 90 deg rotation of 2D board
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also, if x coordinate of left bottom corner is smaller than x coordinate on top right corner, ie do not allow flip
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pts_proj : 2 x N
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"""
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assert pts_proj.ndim == 2 and pts_proj.shape[0] == 2
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# pdb.set_trace()
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return pts_proj[0,0] < pts_proj[0,-1] and pts_proj[0,(self.h-1)*self.w] < pts_proj[0,self.w-1]
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class CircleBoard(Board):
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def __init__(self, w, h, square_len, euler_limit, t_limit, t_origin=None):
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super().__init__(w, h, square_len, euler_limit, t_limit, t_origin)
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self.pattern = []
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for row in range(h):
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for col in range(w):
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if row % 2 == 1:
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self.pattern.append([(col+.5)*square_len, square_len*(row//2+.5), 0])
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else:
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self.pattern.append([col*square_len, (row//2)*square_len, 0])
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self.pattern = np.array(self.pattern, dtype=np.float32).T
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class CheckerBoard(Board):
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def __init__(self, w, h, square_len, euler_limit, t_limit, t_origin=None):
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super().__init__(w, h, square_len, euler_limit, t_limit, t_origin)
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self.pattern = np.zeros((w * h, 3), np.float32)
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# https://stackoverflow.com/questions/37310210/camera-calibration-with-opencv-how-to-adjust-chessboard-square-size
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self.pattern[:, :2] = np.mgrid[0:w, 0:h].T.reshape(-1, 2) * square_len # only for (x,y,z=0)
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self.pattern = self.pattern.T
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