Comments (3)
Thanks! Since this work is related to company project, we are still discussing about the license type.
For now, I want to say this code is for non-commercial use only (research, evaluation etc).
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Thanks! If you don't write that caveat in the README, you'd better be careful because this wonderful model can be abused.
from glpdepth.
Thank you for your advice :) I will add caveat in the README shortly.
from glpdepth.
Related Issues (20)
- The input resolution seems to have a big impact on the model HOT 8
- why do you divide depth by 1000 HOT 4
- TypeError: only integer scalar arrays can be converted to a scalar index while python ../code/utils/extract_official_train_test_set_from_mat.py nyu_depth_v2_labeled.mat splits.mat ./nyu_depth_v2/official_splits/ HOT 1
- About SiLog Loss NaN
- Trained ckpt files for NYU Depth V2 and KITTI HOT 1
- The depth value corresponding to the pixel
- Train Crash: In ADAM with "RuntimeError: value cannot be converted to type float without overflow"
- Bug in GLPDepth/code/dataset/nyudepthv2.py file
- How to convert the depth prediction to absolute depth? HOT 3
- How to decide max_depth and max_depth_eval if I want to train a personal dataset HOT 2
- A suggestion about the loss function in the paper.
- Runtime Error when evaluating the model for NYU Depth V2
- question about the parameter setting of corruption
- question about the parameter setting of corruption
- question about the parameter setting of corruption
- depth prediction is not absolute depth
- Error๏ผ test.py
- Test code
- Apple M1 MPS device just gives noise
- permission error to download the pretrained weights HOT 1
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