Comments (3)
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
from dcp.
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?
from dcp.
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
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Related Issues (20)
- Is there any version using tensorflow? HOT 1
- why pretrainedModel "dcp_v2.t7" include more parameters? HOT 1
- how to run my own dataset HOT 7
- Questions related to the performance of DCP and ICP HOT 2
- typo in the title of readme: Deep **Cloeset** Point. HOT 1
- Can I train a model as good as the pre-trained model? HOT 10
- GTX1060 CUDA out of memory HOT 1
- Pretrained model for unseen data HOT 4
- How to prepare my own data set for the DCP training? HOT 3
- why get_graph_feature applies only once in this project compared with dgcnn? HOT 1
- some question about the method to process the pointcloud HOT 1
- DCP for two different point clouds HOT 4
- I want to know what the distance metric of features you use HOT 1
- Visualization HOT 2
- Test dataset is used for model selection
- The performance decreases dramatically if the point cloud sampling is changed HOT 3
- How about training point clouds with different size? HOT 1
- Yes, just follow the instructions given in the README with the pretrained model. To run inference on the whole dataset -
- RuntimeError: CUDA error: device-side assert triggered
- Visualization problem of network intermediate output HOT 1
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