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Official implementation of "Accurate 3D Object Detection using Energy-Based Models", CVPR Workshops 2021.

Home Page: http://www.fregu856.com

License: MIT License

Python 93.50% Shell 0.02% C++ 2.49% Cuda 3.87% C 0.13%
energy-based-model 3d-object-detection object-detection pytorch deep-learning computer-vision machine-learning

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ebms_3dod's Issues

Viz_video.py can not be run

The 3dod/viz_video.py, which is the code for creating the Youtube video with qualitative results can not be run successfully, please update it with corrections, thanks

Question about the design of EMD in 3DOD

Thanks for sharing. @fregu856
You apply EBM-based regression to 3DOD by extending the SA-SSD with a conditional EBM p(y|x; θ). Why don't you just use a DNN f(θ) to predict the un-normalized density directly from the input-target pair (x, y) like in 2D Object Detection? If so you don't need to extract BEV features in SA-SSD and design a differentiable pooling operator.
image

Dataset

Hi,

I am working on your code to further develop the idea, I would like to know, for only testing the pre-trained model which dataset I must download? Only the Lidar dataset in the Kitti-3d object? I am only interested in point cloud, and not sensor fusion with camera.
I attached a photo to this issue, and I just want to confirm which dataset, or what set of datasets do I need to test the pre-trained model on.

Thank you for your help.

Capture

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