Comments (4)
chenyilun95
commented on August 16, 2024
Yes, I think that's right. You can check the images number in the paper with the split you used.
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harishrithish7
commented on August 16, 2024
source: https://xiaozhichen.github.io/files/mv3d/imagesets.tar.gz
Train: 3711
Val: 3768
Paper:
Train: 3712
Val: 3769
There is a difference of 1 for both train and val. Could this cause any issue?
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chenyilun95
commented on August 16, 2024
I just opened the tar file you provided and it shows the number of images is exactly 3712. Could you check it again?
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harishrithish7
commented on August 16, 2024
Rechecked now and it matches. Thank you.
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Related Issues (20)
- Inference Speed HOT 2
- 同一个目标多个预测框 HOT 9
- the error of the depth estimation HOT 2
- What is the supervision of point cloud? HOT 6
- may i train this model without the depth estimation? HOT 1
- CUDA Of Memory HOT 11
- monocular experiment HOT 12
- Model that has been trained
- tensorflow / tensorflow lite HOT 2
- About the construction of Plane Sweep Volume HOT 4
- where's the split files?
- 作者你好，你的build_cost_volume_forward部分是c++实现的吗？ HOT 1
- TypeError: expected dtype object, got 'numpy.dtype[float64]' in eval.py HOT 1
- ./configs/default/config_disp.py这个文件是用来做什么的，是只包含深度估计网络的config吗 HOT 1
- Question about setup(performance issue) HOT 2
- Using 3D Geometry Volume to predict depth. HOT 4
- Results don't match with paper on KITTI Leaderboard HOT 7
- CUDA out of memory HOT 7
- The wrong outputs of the pre-trained model HOT 7
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