PointNet分类和分割代码复现（跑程序）

分类

代码地址以及相关操作：(https://github.com/charlesq34/pointnet)
分类比较简单，按照网上的步骤很少会出问题，github上边也比较详细，就不具体说明了。

分割

我在运行分割时遇到两个问题

第一：找不到文件夹

 FileNotFoundError: [Errno 2] No such file or directory: '/home/l/Desktop/pointnet-master/part_seg/./PartAnnotation/03001627/points/355fa0f35b61fdd7aa74a6b5ee13e775.pts'

这个因为数据集下载的时候出错了，一共两个数据集，如果运行 sh download_data.sh
下载不下来，可以通过链接下载好，在去运行程序，
train.py运行效果如下：

<<< Testing on the test dataset ...
Loading test file /home/l/Desktop/pointnet-master/part_seg/./hdf5_data/ply_data_val0.h5
	Testing Total Mean_loss: 14097378435.845493
		Testing Label Mean_loss: 528065397.047210
		Testing Label Accuracy: 0.211373
		Testing Seg Mean_loss: 14097378435.845493
		Testing Seg Accuracy: 0.016106

		Category Airplane Object Number: 389
		Category Airplane Label Accuracy: 1.000000
		Category Airplane Seg Accuracy: 0.000000

		Category Bag Object Number: 8
		Category Bag Label Accuracy: 0.000000
		Category Bag Seg Accuracy: 0.000000

		Category Cap Object Number: 5
		Category Cap Label Accuracy: 0.000000
		Category Cap Seg Accuracy: 0.000000

		Category Car Object Number: 79
		Category Car Label Accuracy: 0.000000
		Category Car Seg Accuracy: 0.000000

		Category Chair Object Number: 395
		Category Chair Label Accuracy: 0.000000
		Category Chair Seg Accuracy: 0.000000

		Category Earphone Object Number: 6
		Category Earphone Label Accuracy: 0.000000
		Category Earphone Seg Accuracy: 0.000000

		Category Guitar Object Number: 78
		Category Guitar Label Accuracy: 0.000000
		Category Guitar Seg Accuracy: 0.000000

		Category Knife Object Number: 35
		Category Knife Label Accuracy: 0.000000
		Category Knife Seg Accuracy: 0.000000

		Category Lamp Object Num