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Browse files- .gitignore +1 -0
- app.py +9 -7
.gitignore
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@@ -162,3 +162,4 @@ cython_debug/
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#.idea/
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.ruff_cache/
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/restored*
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#.idea/
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.ruff_cache/
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/restored*
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/gradio_cached*
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app.py
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@@ -15,6 +15,10 @@ HEADER = """
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<a href="https://github.com/ZZZHANG-jx/DocRes" target="_blank" style="color: grey;">GitHub Repository</a>
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</p>
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</div>
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"""
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@@ -26,9 +30,9 @@ possible_tasks = [
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"binarization",
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]
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@spaces.GPU(duration=90)
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def run_tasks(image, tasks):
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device = "cuda" if torch.cuda.is_available() else "cpu"
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# load model
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@@ -54,9 +58,7 @@ with gr.Blocks() as demo:
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output_image = gr.Image(label="Enhanced Image", type="numpy")
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button = gr.Button()
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button.click(
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run_tasks, inputs=[input_image, task], outputs=[output_image]
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)
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gr.Examples(
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examples=[
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@@ -64,7 +66,7 @@ with gr.Blocks() as demo:
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["input/151_in.png", ["dewarping", "deshadowing", "appearance"]],
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["input/for_debluring.png", ["deblurring"]],
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["input/for_appearance.png", ["appearance"]],
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["input/for_deshadowing.
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["input/for_dewarping.png", ["dewarping"]],
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["input/for_binarization.png", ["binarization"]],
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],
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@@ -73,5 +75,5 @@ with gr.Blocks() as demo:
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fn=run_tasks,
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cache_examples="lazy",
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)
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demo.launch()
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<a href="https://github.com/ZZZHANG-jx/DocRes" target="_blank" style="color: grey;">GitHub Repository</a>
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</p>
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</div>
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🖼️ Upload an image of a document (or choose one from examples below).
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✔️ Choose the tasks you want to perform on the document.
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🚀 Click "Run" and the model will enhance the document according to the selected tasks!
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"""
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"binarization",
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]
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@spaces.GPU(duration=60)
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def run_tasks(image, tasks):
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device = "cuda" if torch.cuda.is_available() else "cpu"
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# load model
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output_image = gr.Image(label="Enhanced Image", type="numpy")
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button = gr.Button()
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button.click(run_tasks, inputs=[input_image, task], outputs=[output_image])
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gr.Examples(
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examples=[
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["input/151_in.png", ["dewarping", "deshadowing", "appearance"]],
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["input/for_debluring.png", ["deblurring"]],
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["input/for_appearance.png", ["appearance"]],
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["input/for_deshadowing.jpg", ["deshadowing"]],
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["input/for_dewarping.png", ["dewarping"]],
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["input/for_binarization.png", ["binarization"]],
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],
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fn=run_tasks,
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cache_examples="lazy",
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)
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demo.launch()
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