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| import numpy as np | |
| def twiddle(p, x=None, y=None, z=None): | |
| j = np.argmax(p[1:]>0)+1 | |
| if p[j-1] == 0: | |
| i = j-1 | |
| while i != 1: | |
| p[i] = -1 |
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| from __future__ import division | |
| import numpy as np | |
| class Edge(object): | |
| def __init__(self, p, q): | |
| self.xmin = np.min((p[0], q[0])) | |
| self.xmax = np.max((p[0], q[0])) | |
| self.ymin = np.min((p[1], q[1])) |
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| import numpy as np | |
| from __future__ import division | |
| from collections import namedtuple | |
| class ObjectWrapper(object): | |
| def __init__(self, obj, weight_call): | |
| self.obj = obj | |
| self.weight_call = weight_call | |
| @property |
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| #!/usr/bin/env python | |
| from argparse import ArgumentParser | |
| from pathlib import Path | |
| import cv2 | |
| import numpy as np | |
| from PIL import Image | |
| def project(angle, mirror, img): |