Comments (13)
maybe my repo can help you. https://github.com/kwea123/monodepth2/blob/master/depth_prediction_example.ipynb
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N X 4 X 4 and N X 12
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just save and draw translation vector (3 * 1)
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Yes the N x 12 vector is just the 4x4 with the bottom row removed and reshaped into a flat vector.
In terms of plotting the trajectory: Yes, as @FangGet you can take the translation component. To chain together all your predictions together into the full sequence you might need to accumulate all rotation and translation poses in the sequence. We never did these visualisations for the paper – if you need code for this you might be best looking at a repo by people who have made these pose diagrams.
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appreciate a lot for your help~
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Wow, it's very helpful. Thank you very much :)
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@kwea123
How do you get the scale value?
And I got a picture like this:
I don't know why I always get two pred lines.
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@sunnyHelen Hi I think it's better to discuss in my repo since it's no longer an issue for this repo.
Can you open an issue in my repo?
Thanks.
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Oh, sure. Thanks for your kind reply
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@sunnyHelen I just opened the issue tab.
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@sunnyHelen Hi, could u share your visualization code? I got some chaotic figures. thx.
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Try EVO toolkit:
https://github.com/MichaelGrupp/evo
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Related Issues (20)
- onnx
- What are the units in which the results are predicted HOT 2
- A problem when I train my repo code HOT 1
- Can't run the initial training
- Network inference time problem
- The requested array has an inhomogeneous shape after 1 dimensions. HOT 5
- Write split file HOT 1
- obtained some very strange depth maps HOT 4
- The difference in the intrinsic matrix affects the results
- Question about image resolution
- question for the Data Preparation
- Why is smooth_loss divided by 2**scale?
- Questions about the meaning of grid in the F.grid_sample function
- the eval file about 'gt_depths.npz'
- Run on Google Colab,
- Run on Google Colab, but out of System RAM
- The new constraint about pose is not useful?
- RuntimeError: CuDNN error: CUDNN_STATUS_SUCCESS HOT 2
- How to obtain reconstructed image and loss for a single demo image
- How to setup already trained computer vision model Ultralytics YOLOv8 with monodepth2
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