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update ReadMe
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GuHuangAI committed Dec 4, 2023
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Expand Up @@ -52,11 +52,11 @@ The testing data structure should look like:
## III. Quickly Demo !
1. download the pretrained weights:

| Dataset | ODS (<font color=blue>SEval</font>/<font color=green>CEval</font>) | OIS (<font color=blue>SEval</font>/<font color=green>CEval</font>) | AC | Weight |
|---------|--------------------------------------------------------------------|--------------------------------------------------------------------|-------|--------------|
| BSDS | <font color=blue>0.834</font> / <font color=green>0.749</font> | <font color=blue>0.848</font> / <font color=green>0.754</font> | 0.476 | [download]() |
| NYUD | <font color=blue>0.761</font> / <font color=green>0.732</font> | <font color=blue>0.766</font> / <font color=green>0.738</font> | 0.846 | [download]() |\
| BIPED | <font color=blue>0.899</font> | <font color=blue>0.901</font> | 0.849 | [download]() |
| Dataset | ODS (<font color=blue>SEval</font>/<font color=green>CEval</font>) | OIS (<font color=blue>SEval</font>/<font color=green>CEval</font>) | AC | Weight |
|---------|--------------------------------------------------------------------|--------------------------------------------------------------------|-------|--------------------------------------------------------------------------------------|
| BSDS | <font color=blue>0.834</font> / <font color=green>0.749</font> | <font color=blue>0.848</font> / <font color=green>0.754</font> | 0.476 | [download](https://github.com/GuHuangAI/DiffusionEdge/releases/download/v1/bsds.pt) |
| NYUD | <font color=blue>0.761</font> / <font color=green>0.732</font> | <font color=blue>0.766</font> / <font color=green>0.738</font> | 0.846 | [download](https://github.com/GuHuangAI/DiffusionEdge/releases/download/v1/biped.pt) |\
| BIPED | <font color=blue>0.899</font> | <font color=blue>0.901</font> | 0.849 | [download](https://github.com/GuHuangAI/DiffusionEdge/releases/download/v1/nyud.pt) |

2. put your images in a directory and run:
~~~
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