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README.md

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+---
+title: Kornia Image Enhancement
+emoji: 🪄
+colorFrom: green
+colorTo: purple
+sdk: gradio
+sdk_version: 3.3.1
+app_file: app.py
+pinned: false
+license: apache-2.0
+---

app.py

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+import gradio as gr
+
+import kornia as K
+from kornia.core import Tensor
+
+
+def enhance(file, brightness, contrast, saturation, gamma, hue):      
+    # load the image using the rust backend          
+    img: Tensor = K.io.load_image(file.name, K.io.ImageLoadType.RGB32)
+    img = img[None]  # 1xCxHxW / fp32 / [0, 1]
+
+    # apply tensor image enhancement
+    x_out: Tensor = K.enhance.adjust_brightness(img, float(brightness))
+    x_out = K.enhance.adjust_contrast(x_out, float(contrast))
+    x_out = K.enhance.adjust_saturation(x_out, float(saturation))
+    x_out = K.enhance.adjust_gamma(x_out, float(gamma))
+    x_out = K.enhance.adjust_hue(x_out, float(hue))
+
+    return K.utils.tensor_to_image(x_out)
+
+
+examples = [
+    ["examples/ninja_turtles.jpg", 0, 1, 1, 1, 0],
+    ["examples/kitty.jpg", 0, 1, 1, 1, 0],
+]
+
+title = "Kornia Image Enhancements"
+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>"
+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>"
+
+iface = gr.Interface(
+    enhance,
+    [
+        gr.inputs.Image(type="file"),
+        gr.inputs.Slider(minimum=0, maximum=1, step=0.1, default=0, label="Brightness"),
+        gr.inputs.Slider(minimum=0, maximum=4, step=0.1, default=1, label="Contrast"),
+        gr.inputs.Slider(minimum=0, maximum=4, step=0.1, default=1, label="Saturation"),
+        gr.inputs.Slider(minimum=0, maximum=1, step=0.1, default=1, label="Gamma"),
+        gr.inputs.Slider(minimum=0, maximum=4, step=0.1, default=0, label="Hue"),
+    ],
+    "image",
+    examples=examples,
+    # title=title,
+    # description=description,
+    # article=article,
+    live=True
+)
+
+iface.launch()

gitattributes.txt

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packages.txt

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+python3-opencv

requirements.txt

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+kornia
+kornia_rs
+opencv-python
+torch