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@@ -21,7 +21,7 @@ PASCAL-Person-Part, respectively. On a relatively small dataset PPSS, our pre-tr | |
## Getting started | ||
Clone [MMAN source code] ( [email protected]:RoyalVane/MMAN.git ) | ||
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Download [The LIP Dataset] ( https://drive.google.com/open?id=1SlvucF37ApWCQjmdCYQ8i9yoUHNvFMiC ) | ||
Download [The LIP Dataset] [Google Drive]( https://drive.google.com/open?id=1SlvucF37ApWCQjmdCYQ8i9yoUHNvFMiC ) | ||
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The folder is structured as follows: | ||
``` | ||
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@@ -89,7 +89,7 @@ python test.py --dataroot ../Human --dataset LIP --name Exp_0 --gpu_ids 0 --whic | |
`--loadSize` Resize testing images into 256 * 256. | ||
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### New! Pretrained models are available via this link: | ||
[Pretrained models](https://drive.google.com/open?id=1pLFXIf8o3Jpq-w4_D4l8yWE9Q-1-TVLh) | ||
[Google Drive](https://drive.google.com/open?id=1pLFXIf8o3Jpq-w4_D4l8yWE9Q-1-TVLh) | ||
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## Qualitative results | ||
Trained on ``LIP train_set`` -> Tested on ``LIP val_set`` | ||
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