Comments (4)
brandleyzhou
commented on June 10, 2024
Training configuration is in the options.py. If you want to know the performance of the original HRNet, you can have a look at the ablation table in our paper. for reproducing, we keep the depth decoder unchanged and replace the resnet18 depth encoder with original hrnet
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ArminMasoumian
commented on June 10, 2024
Training configuration is in the options.py. If you want to know the performance of the original HRNet, you can have a look at the ablation table in our paper. for reproducing, we keep the depth decoder unchanged and replace the resnet18 depth encoder with original hrnet
Just change the default values of "Width" and "Height" on option.py?
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brandleyzhou
commented on June 10, 2024
yes
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ArminMasoumian
commented on June 10, 2024
yes
Tnx
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Related Issues (20)
- Environment HOT 4
- Multi-GPU training hangs HOT 3
- imagenet pretrained model HOT 1
- a question about '1024x320_ms_ttr' HOT 1
- About model's FPS HOT 2
- where is the supplementary material mentioned in paper HOT 2
- STEREO SCALE FACTOR HOT 1
- About torch::jit::trace HOT 3
- Training and testing issue HOT 2
- Saved trained models HOT 5
- cannot reproduced results mentioned in the paper HOT 4
- Cityscapes model HOT 1
- test file missing HOT 1
- Environment file HOT 2
- Training HOT 3
- Missing Keys in Pretrained Weights HOT 5
- run-time FPS HOT 1
- test on video HOT 2
- Missing Keys in 1024x320 Pretrained Weights HOT 2
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