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Parent(s):
ad10edb
chore: Update MAE-ViT image reconstruction descriptions
Browse files
app.py
CHANGED
@@ -209,7 +209,7 @@ inference_no_mode = gr.Interface(
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examples=path_1,
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cache_examples = False,
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title="MAE-ViT Image Reconstruction",
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description="This is a demo of the MAE-ViT model for image reconstruction.",
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)
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inference_pca_mode_bottom = gr.Interface(
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@@ -218,7 +218,7 @@ inference_pca_mode_bottom = gr.Interface(
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outputs=outputs_image_2,
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examples=path_2,
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title="MAE-ViT Image Reconstruction",
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description="This is a demo of the MAE-ViT model for image reconstruction.",
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)
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inference_pca_mode_top = gr.Interface(
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@@ -227,7 +227,7 @@ inference_pca_mode_top = gr.Interface(
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outputs=outputs_image_3,
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examples=path_3,
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title="MAE-ViT Image Reconstruction",
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description="This is a demo of the MAE-ViT model for image reconstruction.",
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)
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gr.TabbedInterface(
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examples=path_1,
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cache_examples = False,
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title="MAE-ViT Image Reconstruction",
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description="This is a demo of the MAE-ViT model for image reconstruction. The model is trained without PCA mode. It was trained on the STL-10 dataset.",
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)
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inference_pca_mode_bottom = gr.Interface(
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outputs=outputs_image_2,
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examples=path_2,
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title="MAE-ViT Image Reconstruction",
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description="This is a demo of the MAE-ViT model for image reconstruction. The model is trained with PCA mode (bottom 25%). It was trained on the STL-10 dataset.",
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)
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inference_pca_mode_top = gr.Interface(
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outputs=outputs_image_3,
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examples=path_3,
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title="MAE-ViT Image Reconstruction",
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+
description="This is a demo of the MAE-ViT model for image reconstruction. The model is trained with PCA mode (top 75%). It was trained on the STL-10 dataset.",
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)
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gr.TabbedInterface(
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