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PointGrid: A Deep Network for 3D Shape Understanding

Prerequisites:

  1. Python3 (with necessary common libraries such as numpy, scipy, etc.)
  2. TensorFlow(1.10 or other)
  3. You can prepare your data in *.npy file or other,here I use .npy file:
    • .npy file include : x y z label.
    • I'm doing semantic segmentation,so I made some changes to the data.

Prepare Data:

python ../data/pre_data.py

Train:

python train.py

Test:

python test.py

If you find this code useful, please cite raw work at

@article{PointGrid,
	author = {Truc Le and Ye Duan},
	titile = {{PointGrid: A Deep Network for 3D Shape Understanding}},
	journal = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
	month = {June},
	year = {2018},
}

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pointgrid's Issues

关于数据源和论文的请教

作者您好,因为我目前毕设还在开题阶段,没有数据,冒昧请问能否上传您使用的数据?百度云也行,还有您提到的论文能在哪查到吗?谢谢!

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