Comments (6)
layumi
commented on May 27, 2024
As shown in the figure, I just re-run the test code.
python evaluate_cityscapes.py --restore-from ./snapshots/SE_GN_batchsize2_1024x512_pp_ms_me0_classbalance7_kl0.1_lr2_drop0.1_seg0.5/GTA5_25000.pth --batchsize 2
And my test result is 45.5
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layumi
commented on May 27, 2024
Could you check the md5sum first? Thanks a lot.
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panzhang0212
commented on May 27, 2024
your release de model is GTA50000.pth
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panzhang0212
commented on May 27, 2024
Could you clone the code and released SE_GN_batchsize2_1024x512_pp_ms_me0_classbalance7_kl0.1_lr2_drop0.1_seg0.5/GTA5_50000.pth, then try the test code again? thanks
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layumi
commented on May 27, 2024
It is my fault. I have update the download link https://drive.google.com/file/d/1smh1sbOutJwhrfK8dk-tNvonc0HLaSsw/view?usp=sharing
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panzhang0212
commented on May 27, 2024
Thanks your help!
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Related Issues (20)
- Discriminator' Problem HOT 1
- problems about training HOT 3
- About data loading HOT 1
- Synthia -> Cityscapes pre-trained model HOT 3
- batchsize HOT 2
- Question about SYNTHIA dataset classes num HOT 2
- Question about no folder of "ground truth" of SYNTHIA dataset HOT 1
- Question about Pseudo-labels are source domain but not target domain in the code HOT 1
- Where is the code for MC-Dropout? HOT 1
- Prediction variance and Prediction confidence HOT 1
- How get the vriance visualization HOT 1
- AttributeError: 'Namespace' object has no attribute 'sync_bn' HOT 1
- load state dict error HOT 3
- Without recitfying pseudo label in Stage 2 HOT 1
- tabular data/ noisy instances HOT 2
- Question about stage 3 HOT 4
- About rectification in stage 2 HOT 1
- low performance for stage 1 HOT 11
- Question about stage2 HOT 4
- Out of memory HOT 11
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