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lappemic
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Parent(s):
df804e9
readme and app.py
Browse files
README.md
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@@ -7,6 +7,7 @@ sdk: gradio
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sdk_version: 3.3
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app_file: app.py
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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sdk_version: 3.3
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app_file: app.py
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pinned: false
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license: apache-2.0
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
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# taken from https://huggingface.co/spaces/kornia/kornia-image-enhancement/blob/main/app.py created from https://github.com/NimaBoscarino
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# as first try
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import gradio as gr
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import kornia as K
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from kornia.core import Tensor
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def enhance(file, brightness, contrast, saturation, gamma, hue):
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# load the image using the rust backend
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img: Tensor = K.io.load_image(file.name, K.io.ImageLoadType.RGB32)
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img = img[None] # 1xCxHxW / fp32 / [0, 1]
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# apply tensor image enhancement
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x_out: Tensor = K.enhance.adjust_brightness(img, float(brightness))
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x_out = K.enhance.adjust_contrast(x_out, float(contrast))
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x_out = K.enhance.adjust_saturation(x_out, float(saturation))
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x_out = K.enhance.adjust_gamma(x_out, float(gamma))
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x_out = K.enhance.adjust_hue(x_out, float(hue))
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return K.utils.tensor_to_image(x_out)
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examples = [
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["examples/ninja_turtles.jpg", 0, 1, 1, 1, 0],
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["examples/kitty.jpg", 0, 1, 1, 1, 0],
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]
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title = "Kornia Image Enhancements"
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description = "<p style='text-align: center'>This is a Gradio demo for Kornia's Image Enhancements.</p><p style='text-align: center'>To use it, simply upload your image, or click one of the examples to load them, and use the sliders to enhance! Read more at the links at the bottom.</p>"
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article = "<p style='text-align: center'><a href='https://kornia.readthedocs.io/en/latest/' target='_blank'>Kornia Docs</a> | <a href='https://github.com/kornia/kornia' target='_blank'>Kornia Github Repo</a> | <a href='https://kornia-tutorials.readthedocs.io/en/latest/image_enhancement.html' target='_blank'>Kornia Enhancements Tutorial</a></p>"
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iface = gr.Interface(
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enhance,
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[
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gr.inputs.Image(type="file"),
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gr.inputs.Slider(minimum=0, maximum=1, step=0.1, default=0, label="Brightness"),
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gr.inputs.Slider(minimum=0, maximum=4, step=0.1, default=1, label="Contrast"),
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gr.inputs.Slider(minimum=0, maximum=4, step=0.1, default=1, label="Saturation"),
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gr.inputs.Slider(minimum=0, maximum=1, step=0.1, default=1, label="Gamma"),
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gr.inputs.Slider(minimum=0, maximum=4, step=0.1, default=0, label="Hue"),
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],
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"image",
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examples=examples,
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# title=title,
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# description=description,
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# article=article,
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live=True
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)
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iface.launch()
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