Comments (1)
@18022443868 We uploaded a pytorch implementation and a model having light DenseNet121 as its backbone. So I believe you can use them for your purpose.
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Related Issues (20)
- Testing on single image from KITTI dataset
- Something wrong with kitti gt dataset HOT 1
- Inconsistent results on Online evaluation and Test (might caused by benchmark crop operation) HOT 3
- Dear author,Have you ever tried to use bts for multiscale output?
- Question about Ray-Plane Intersection in LPG
- Questions on the code organization
- Pretrain models
- How were the files selected in nyudepthv2_train_files_with_gt.txt? HOT 1
- Why does the depth output has smears on the left and right sides?
- what is the focal HOT 2
- Single machine with multiple gpus,but I only want one...
- Error in filenames file while training
- Can you please tell me how to figure out the actual depth value(in metres or centimeteres) at any (x,y) coordinate of the image that is being predicted by the model? HOT 2
- nyu test dataset HOT 1
- transform
- 解决运行extract_official_train_test_set_from_mat.py时only integer scalar arrays can be converted to a scalar index问题 HOT 3
- kitti test dataset
- Link download fail
- The script does not download all the data and all dense maps
- Why you use mask = depth_gt > 0.1 ?
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