Comments (4)
tinghuiz
commented on May 23, 2024
Directly applying the model trained on KITTI/Cityscapes to indoor datasets will most likely fail. If you want to test on indoor datasets, you should train on indoor video sequences as well.
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thuyang
commented on May 23, 2024
Thank you for the response! Have you tried training on indoor videos?
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tinghuiz
commented on May 23, 2024
I tried for a bit on the NYU indoor dataset at the early stage of the project, but did not manage to get reasonable results. The model has changed quite a lot since, not sure how well it would perform now.
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kishankedia
commented on May 23, 2024
@thuyang , were you able to train on indoor dataset like NYU? if yes, how are the results and can you please share the details as how you prepared the data and triggered the training
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Related Issues (20)
- ONNX Export HOT 1
- Static_frames.txt
- Question of depth output
- ValueError: cannot reshape array of size 1 into shape (3,3) HOT 1
- The structure of datasets HOT 1
- when I use the pre-trained pose model to predict, the output is same whatever input are HOT 3
- when I use the pre-trained pose model to predict, the output is same whatever inputs are.
- The website download the pretrained model got a 404 error HOT 2
- About posenet
- understand the pose estimation values (Absolute Trajectory Error (ATE))
- How to get ATE values as in Table 3 in your paper
- Is the dispnet output a depth map?
- Question about paper (projected coordinates formula) HOT 2
- Pre-processing NYUv2 dataset
- question about dump_xyz in evaluate_pose.py
- How to get an output of the depth or pose of a pixel away from the camera？
- Question about diff image in tensorboard HOT 1
- poseNet model reasoning speed problem
- Why pose GT you provided differ from KITTI site?
- About evaluation on the Make3D dataset?
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