Comments (4)
In the case above where I changed the camera intrinsics to real intrinsics , when I used the intrinsics provided in the code, it became like this, I wonder why they have this difference,
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I seem to know what the problem is. Will I close the issue.
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I seem like to meet the same problem with your first four pictures, could you share me with the problem that you fould about it?
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I seem like to meet the same problem with your first four pictures, could you share me with the problem that you fould about it?
Hey, my problem is that the intrinsic parameters are set incorrectly. You can check your intrinsic parameters.
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Related Issues (20)
- Hi,I've got some new questions HOT 9
- Some question about the result HOT 4
- The edges of the image are foggy and blurry during the training process HOT 4
- Inexplicable "No such file or directory: 'Lite-Mono-main\\kitti_data\\\2011_09_26/2011_09_26_drive_0002_sync\\\image_02/data\\- 000000001.png'" HOT 2
- the CPU utilization has been very high, but the GPU utilization has been very low HOT 2
- training with Nuscenes dataset HOT 39
- About indicator sq_rel HOT 6
- Test outputs is black HOT 8
- I read your paper “For models trained from scratch an initial learning rate of 5e−4 with a cosine learning rate schedule [26] is adopted” But how should I implement it in the code? HOT 4
- How the reproduction of the results of the model achieves the results in the paper HOT 6
- Hello, my reproduction code is exactly the same as the code uploaded by the author of the paper, CUDA11.0, PyTorch 1.7.1. Please check your code and replace your CUDA and pytorch version.
- model reproduction HOT 11
- Hello, I have some questions regarding the model training with the KITTI dataset HOT 4
- Pre-training Weights HOT 1
- about pretrain acc HOT 1
- the results of training are black pictures HOT 5
- test code for pose HOT 2
- Subsequent issues with gt_depths.npz HOT 4
- sorry to bothering you HOT 1
- Output resolution problem HOT 5
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