Comments (8)
I got results like this, using demo.py.
It seems that there are no problems with painting, but I have no idea why I get such a terrible prediction. (The model works well on Kitti dataset)
Could you give me some advice?
from pointpainting.
It seems your dataset has been changed, have you re-trained the model?
from pointpainting.
I have the same problem, my solution is to download image3 in kitti dataset.Do you copy image2 to image3 or download image3 in the kitti dataset?
from pointpainting.
I copy image2 to image3.
The scenes recorded in my dataset are different from the Kitti dataset. If I download image3 from Kitti, it will result in a mismatch between image2 to image3. @G-hx
from pointpainting.
The dataset I use for training is the kitti dataset. In the kitti dataset, image2 and image3 have parallax. So I am also very doubtful about whether image3 needs to copy image2 or use image3 in the kitti dataset. @[EliomEssaim]
from pointpainting.
I solved it by normalizing lidar point cloud reflectivity .
from pointpainting.
Glad to hear that you finally solved your problem!
from pointpainting.
I got results like this, using demo.py. It seems that there are no problems with painting, but I have no idea why I get such a terrible prediction. (The model works well on Kitti dataset) Could you give me some advice?
Hello, thanks for your excellent work about Pointpainting.I recently tried to run the Pointpainting in the environment of ubuntu18.04 and python3.7.The previous work has been completed, but I encountered difficulties in the final visualization step.I see that you have already visualized the point cloud, and it is still a color point cloud, so I would like to ask you some questions about the final visualization of this project.
The visualizer I use is Mayavi by the original author. However, due to the problem of version or some feature packs, many methods have not been successful:
So can you tell me, what visualizer are you using? How did you configure and install it and link to this project?Looking forward to your reply.Your suggestion would be greatly appreciated.Finally, thank you again for reading and helping.
from pointpainting.
Related Issues (20)
- demo.py QLibraryPrivate::unload succeeded HOT 1
- demo.py point cloud in the visualization is not colored HOT 1
- No module named 'pcdet.version' & KeyError: 'PaintedKittiDataset HOT 1
- What is the FPS of the whole framework? HOT 4
- kitti dataset HOT 1
- Visualization problem HOT 4
- ValueError: cannot reshape array of size 308 into shape (8) HOT 2
- pytorch and cuda version cant't work HOT 1
- RuntimeError: Error compiling objects for extension HOT 1
- when i run setup.py develop there are some questions HOT 1
- ImportError: cannot import name 'VoxelGenerator' from 'spconv.utils HOT 2
- Painted point cloud not visible HOT 3
- Question on projecting on segmentation map HOT 1
- 关于复现结果: HOT 1
- compare with classic openpcdet HOT 1
- Cant see the painted point cloud HOT 2
- CPU only set up HOT 1
- Questions about KITTI train/val/test dataset HOT 1
- How to install the env
- 复现结果不一样怎么办
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from pointpainting.