Comments (2)
DeepZono
commented on August 27, 2024
Also, 3. Did you have an issue with memory? I think the model is too big for single GPU!
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JiaxiongQ
commented on August 27, 2024
1.This is a time-saving operation to add the normal constrain from depth.
2.It will work, because it is a more direct form to generate surface normal.
3.We randomly crop the image to 256x512 before training, and the batch size can be set to 2 in single 1080 ti.
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Related Issues (20)
- Question about Attention Map and MaskFt() HOT 1
- Question about dataset and trainloader
- Num of param is HUGE, am I wrong? HOT 3
- Code of 'calplanenormal' is missing in 'surface_normal/clean.hpp'
- Are the used camera intrinsics values correct? HOT 1
- The consumption of GPU memory seems abnomal HOT 7
- about low-cost LiDAR
- How to visualize HOT 1
- 推理 HOT 2
- Subsampling Results
- How to train on CARLA dataset? HOT 1
- 训练文件中没有s2dN函数？
- <unable to download carla dataset
- surface normals for synthetic data
- About the evaluation result on Delta metric
- test.py for val_selection_cropped HOT 1
- Why is the output of 'predict_normalE2' set to 2？
- MAE metric unusually high HOT 1
- Warped visualization
- Details about the synthetic lidar data
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