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hi everyone,
I attempted to measure the metric depth performance on the KITTI datasets using the pretrained model provided in this project.
(δ1, δ2, δ3, AbsRel, RMS, log10)
but the result is fa…
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Thank you for sharing the code of DeepI2P. I tried to run the model on the KITTI dataset, but I found that the input of the model was from the preprocessed dataset rather than the official odometry da…
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Hello, thanks for sharing your code, but I found that there is no kitti dataset in github, can you please share your kitti dataset used in this experiment, thanks.
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Could you provide a KITTI formatted version? I want to train on my own KITTI dataset.
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Hi, brilliant work.
I would like to know if the SemanticKITTI dataset provides official depth GT? I need to utilize accurate depth information.
Many thanks
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Hello, I am a first-year doctoral student. My current research area is monocular ranging. I found your project on GitHub and I am very interested in it. Unfortunately, when studying your project, I co…
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Hi,
I want to monitor validation losses along with training loss and plot both losses to check if the model is over fitting on kitti dataset.
I request you to help me in this regard.
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Hello,
I am working on multi-sensor fusion and 3d detection algorithms for my master thesis in TUM.
In the normal kitti data-set [kitti data-se:](https://www.cvlibs.net/datasets/kitti/eval_obj…
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I used the model for kitty dataset.
However, there is a unique pattern in the output.
I wonder why this pattern occurs.
![1](https://user-images.githubusercontent.com/86566696/236798138-d9ec8194-96…
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flatten = torch.sparse_coo_tensor(indices_non_zeros, weight_per_point, matrix_shape)
RuntimeError: size is inconsistent with indices: for dim 0, size is 2 but found index 1100320154