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• soccerontable-master
  • compile.sh
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        • FindEigen.cmake
      • main.cpp
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        • losses.py
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        • hourglass.py
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        • models.py
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        • postprocess.py
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        • transforms.py
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      • train.py
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    • core.py
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      • __init__.py
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    • calibration
      • __init__.py
      • core.py
  • LICENSE
  • README.md
  • requirements.txt
  • .gitignore

from scipy.spatial import Delaunay
import numpy as np


def triangulate_depthmap_points(points2d, depth, pix_thresh=2, depth_thresh=0.2):
    tri = Delaunay(points2d)
    faces_ = tri.simplices.copy()
    faces = []

    for j in range(faces_.shape[0]):
        if np.linalg.norm(points2d[faces_[j, 0], :] - points2d[faces_[j, 1], :]) <= pix_thresh and \
                        np.linalg.norm(points2d[faces_[j, 2], :] - points2d[faces_[j, 1], :]) <= pix_thresh and \
                        np.linalg.norm(points2d[faces_[j, 0], :] - points2d[faces_[j, 2], :]) <= pix_thresh and \
                        np.linalg.norm(depth[faces_[j, 0]] - depth[faces_[j, 1]]) <= depth_thresh and \
                        np.linalg.norm(depth[faces_[j, 2]] - depth[faces_[j, 1]]) <= depth_thresh and \
                        np.linalg.norm(depth[faces_[j, 0]] - depth[faces_[j, 2]]) <= depth_thresh:
            # faces.append(faces_[j, :])
            faces.append(faces_[j, (2, 1, 0)])
    # faces = np.array(faces)
    return faces


def pack_textures():
    return 0