Comments (4)
salmedina
commented on July 17, 2024
It dos 3D box prediction in a really constrained scenario where the direction where the cars move in the video is from/towards a vanishing point. And then it extracts the patches and classifies. I believe that for the problem the author was working on, it was good enough.
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lucasjinreal
commented on July 17, 2024
@salmedina Classify what? the vehicle type? I don't think that can produce the 3d box
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gushart
commented on July 17, 2024
@jinfagang hello. Can you explain me shortly what does happening in this repo?
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VineINDalvik
commented on July 17, 2024
@salmedina Classify what? the vehicle type? I don't think that can produce the 3d box
"dataset.pkl" contains the 3d annotation, and 3d object detection help fine-grained classification, which exists as a intermediate process. You can refer to this paper: https://arxiv.org/pdf/1703.00686v1.pdf
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Related Issues (20)
- Bounding Box Estimator HOT 1
- this command error : python3 scripts/train_eval.py --eval path-to-model.h5 HOT 3
- Help in understanding dataset.pkl HOT 3
- No such file :dataset.pkl HOT 1
- AttributeError: 'NoneType' object has no attribute 'TF_DeleteStatus' HOT 1
- Where to find the NET that estimates 3D bb ? HOT 2
- Use trained model for single image prediction HOT 3
- BCNN, CBL and PCM are all using VGGNet as baselines, but achieve worse performance
- Training on Custom data
- Is there any full image corresponding to the patch
- Link to dataset is down HOT 13
- Confusion of contour detection
- How to create the pickle files for my own dataset?
- Link to trained model is down
- requirements.txt file
- Dataset link is down HOT 2
- Trained Model fails in evaluation and single image classification HOT 1
- list of 107 classes from model
- lots of wrong labeled images in the training boxcars116k dataset HOT 1
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