Comments (3)
The scenario described bears similarity to the KITTI dataset, where GT data for the completed shape of cars is not available. To address this limitation, we utilize the ShapeNet cars dataset for training purposes. You can also employ a similar approach with your own dataset by following these instructions.
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Hey, thanks for the update. I was more curious on how to use this repository to just test with my data. Because I think the pretrained ones should be good enough for my data. My expected way of work would then be to just input my incomplete pointcloud and just get the result from the network as output pointclouds. Is that something that is included anywhere in the code ?
from grnet.
I did not provide a specific script for your use case.
However, you can prepare your data by following the same format as the KITTI dataset and utilize the KITTI dataloader for compatibility and ease of use.
This approach will allow you to effectively handle your data in a manner similar to the KITTI dataset.
from grnet.
Related Issues (20)
- How long will it take to train this mode? HOT 2
- Unable to run on KITTI HOT 1
- EMD module giving error HOT 1
- How was the model weights for Kitti obtained HOT 1
- [Open3D WARNING] Read PCD failed: unable to open file HOT 1
- How can I visualize the result after the gridding? HOT 1
- Error in Extensions HOT 1
- error in 'pip install -r requirements.txt' HOT 1
- gridding loss HOT 2
- 关于pcn数据集 HOT 2
- unable to download shapenet completion dataset HOT 1
- “bits/stdc++.h”: No such file or directory HOT 5
- 'cl.exe' failed with exit status 2 when compiling the extension HOT 4
- How to download pre trained models? HOT 1
- memory leak in the training code HOT 4
- If I want to train the model at 2048, may I ask where I need to modify it. HOT 2
- How do I run this network with my own collected data? HOT 1
- How to get partial pcd from original KITTI dataset HOT 3
- Training Error: TypeError: Cannot handle this data type: (1, 1, 800), |u1 HOT 2
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from grnet.