This repository is still under constructions.
If you have any questions about the code, please email me. Thanks!
This is the Pytorch implement of CVPR2020 PF-Net: Point Fractal Network for 3D Point Cloud Completion.
##0) Environment Pytorch 1.0.1 Python 3.7.4
##1) Dataset
cd dataset
bash download_shapenet_part16_catagories.sh
##2) Train
python Train_FPNet.py
Change ‘crop_point_num’ to control the number of missing points. Change ‘point_scales_list ’to control different input resolutions. Change ‘D_choose’to control without using D-net.
##3) Evaluate the Performance on ShapeNet
python show_recon.py
Show the completion results, the program will generate txt files in 'test-examples'.
python show_CD.py
Show the Chamfer Distances and two metrics in our paper.
##4) Visualization of csv File
We provide some incomplete point cloud in file 'test_one'. Use the following code to complete a incomplete point cloud of csv file:
python Test_csv.py
change ‘infile’and ‘infile_real’to select different incomplete point cloud in ‘test_one’
##5) Visualization of Examples
Using Meshlab to visualize the txt files.