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Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

License: MIT License

Jupyter Notebook 56.02% Python 43.98%
3d-object-detection vs3d ws3d weakly-supervised-detection kitti point-cloud cross-modal transfer-learning object-proposals tensorflow

weakly-supervised-3d-object-detection's Issues

Values of the scores of each class for each object

Hello Zengyi-Qin,
How are you?
Sorry for the inconvenience.
I am studying object detection and I read your paper Weakly Supervised 3D Object Detection from Point Clouds. I managed to use the codes you posted on GitHub. However I would like to know if it is possible to get the score values of each detected object. For example, if I train detection by considering objects classified into three classes, then each detected object will have three score values. In other words, a detected object has a corresponding score value for each training class, that is, class1 = Score1, class2 = Score2 and to class3 = Score3. Actually, I would like to know if it is possible to get the score values of each class for each object?

Best regards,
Gledson Melotti.

Some questions of evaluation.

Hello, I'm very interested in your wso3d project. Did you use AP_11 in your evaluation or AP_40? I reproduced your model and have found AP_11 score is more similar to your result in your paper.

Getting number from the paper

Hi, I followed the steps in the README with the intention of getting the predictions on the kitti validation set but currently I get <10% using the pre-trained weights.
To evaluate I use the kitti object evaluation script with the threshold set to 0.5 for cars and restricting the files read to only the validation set.
Is there any tricks to getting this to work or advice on how you run evaluation on the outputs?
The values in the output files look incorrect compared to the GT.

About GPU

Can we use a Titan XP GPU to replace the Tesla P40 GPU?

help

When I want to train the model, I use the command: "python main.py --mode train --gpu GPU_ID" uses the CPU. If I want to run the code on the GPU, how should I use the command?

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