maudzung / Complex-YOLOv4-Pytorch

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
https://arxiv.org/pdf/1803.06199.pdf
GNU General Public License v3.0
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Clarification about Heightmap #53

Open bhaskar-anand-iith opened 2 years ago

bhaskar-anand-iith commented 2 years ago

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:

maxheight = float(np.abs(bc['maxZ'] - bc['minZ'])) heightMap[np.int(PointCloudfrac[:, 0]), np.int(PointCloud_frac[:, 1])] = PointCloud_frac[:, 2] / max_height

Could you please clarify this?