Spaces:
Running
on
Zero
Running
on
Zero
Commit
·
d719afe
1
Parent(s):
0711aae
Add the missing model_choice in the definition of url examples.
Browse files- app.py +1 -1
- app_local.py +1 -1
app.py
CHANGED
@@ -267,7 +267,7 @@ examples_url = [
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['https://hips.hearstapps.com/hmg-prod/images/gettyimages-1229892983-square.jpg'],
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]
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for idx_example_url, example_url in enumerate(examples_url):
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-
examples_url[idx_example_url]
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descriptions = ('Upload a picture, our model will extract a highly accurate segmentation of the subject in it.\n)'
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' The resolution used in our training was `1024x1024`, which is the suggested resolution to obtain good results! `2048x2048` is suggested for BiRefNet_HR.\n'
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['https://hips.hearstapps.com/hmg-prod/images/gettyimages-1229892983-square.jpg'],
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]
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for idx_example_url, example_url in enumerate(examples_url):
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+
examples_url[idx_example_url] = examples_url[idx_example_url] + ['1024x1024', 'General']
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descriptions = ('Upload a picture, our model will extract a highly accurate segmentation of the subject in it.\n)'
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' The resolution used in our training was `1024x1024`, which is the suggested resolution to obtain good results! `2048x2048` is suggested for BiRefNet_HR.\n'
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app_local.py
CHANGED
@@ -263,7 +263,7 @@ examples_url = [
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['https://hips.hearstapps.com/hmg-prod/images/gettyimages-1229892983-square.jpg'],
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]
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for idx_example_url, example_url in enumerate(examples_url):
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-
examples_url[idx_example_url]
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descriptions = ('Upload a picture, our model will extract a highly accurate segmentation of the subject in it.\n)'
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' The resolution used in our training was `1024x1024`, which is the suggested resolution to obtain good results! `2048x2048` is suggested for BiRefNet_HR.\n'
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['https://hips.hearstapps.com/hmg-prod/images/gettyimages-1229892983-square.jpg'],
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]
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for idx_example_url, example_url in enumerate(examples_url):
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+
examples_url[idx_example_url] = examples_url[idx_example_url] + ['1024x1024', 'General']
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descriptions = ('Upload a picture, our model will extract a highly accurate segmentation of the subject in it.\n)'
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' The resolution used in our training was `1024x1024`, which is the suggested resolution to obtain good results! `2048x2048` is suggested for BiRefNet_HR.\n'
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