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As per the Complex Yolo paper, in the G field of RGB map of point cloud maximum height is encoded. zg (Sj ) = max(PΩi→j · [0, 0, 1]T )
However, it seems that in this implementation it is normalized height:
max_height = float(np.abs(bc['maxZ'] - bc['minZ'])) heightMap[np.int_(PointCloud_frac[:, 0]), np.int_(PointCloud_frac[:, 1])] = PointCloud_frac[:, 2] / max_height
Could you please clarify this?
The text was updated successfully, but these errors were encountered:
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As per the Complex Yolo paper, in the G field of RGB map of point cloud maximum height is encoded.
zg (Sj ) = max(PΩi→j · [0, 0, 1]T )
However, it seems that in this implementation it is normalized height:
max_height = float(np.abs(bc['maxZ'] - bc['minZ']))
heightMap[np.int_(PointCloud_frac[:, 0]), np.int_(PointCloud_frac[:, 1])] = PointCloud_frac[:, 2] / max_height
Could you please clarify this?
The text was updated successfully, but these errors were encountered: