Closed zhangshabao closed 4 years ago
I tested the code with my data. The running time was 4s, the computer was 1070, and the video memory was 8 gigabytes.What is wrong?Excluding the read data time, the network runs in 2. 2 seconds
Hi,
If you're using your own data, the problem can be: 1. your point clouds are big; 2. data loading seems slow (it takes 1.8s?).
Best, Yue
I tested the code with my data. The running time was 4s, the computer was 1070, and the video memory was 8 gigabytes.What is wrong?Excluding the read data time, the network runs in 2. 2 seconds
Hi,
If you're using your own data, the problem can be: 1. your point clouds are big; 2. data loading seems slow (it takes 1.8s?).
Best, Yue
emmmm The number of point clouds is about 1w, and the speed of reading point clouds accounts for 1.8s.I use TXT file to read。 There have a good way to read?
One way to do it, it's maybe to precompute the neighbors using a kd-tree, and modify the database to have this at hand for each epoch. knn complexity it's n^2, so if your cloud is big, the implementation in python can take a while. Open3d has an efficient implementation
I tested the code with my data. The running time was 4s, the computer was 1070, and the video memory was 8 gigabytes.What is wrong?Excluding the read data time, the network runs in 2. 2 seconds