Initial commit (change from personal space)

app.py

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+# created with great guidance from https://github.com/NimaBoscarino
+
+import gradio as gr
+
+import kornia as K
+from kornia.core import Tensor
+
+
+def filters(file, box_blur, blur_pool2d, gaussian_blur2d, max_blur_pool2d, median_blur):      
+    # 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.filters.box_blur(img, (int(box_blur), int(box_blur)))
+    x_out = K.filters.blur_pool2d(x_out, int(blur_pool2d))
+    x_out = K.filters.gaussian_blur2d(x_out, 
+                                      (int(gaussian_blur2d), int(gaussian_blur2d)), 
+                                      (float(gaussian_blur2d), float(gaussian_blur2d)))
+    x_out = K.filters.max_blur_pool2d(x_out, int(max_blur_pool2d))
+    x_out = K.filters.median_blur(x_out, (int(median_blur), int(median_blur)))
+
+    return K.utils.tensor_to_image(x_out)
+
+
+examples = [
+    ["examples/ninja_turtles.jpg", 1, 1, 1, 1, 1],
+    ["examples/kitty.jpg", 1, 1, 1, 1, 1],
+]
+
+title = "Kornia Image Filters"
+description = "<p style='text-align: center'>This is a Gradio demo for Kornia's Image Filters.</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(
+    filters,
+    [
+        gr.inputs.Image(type="file"),
+        gr.inputs.Slider(minimum=1, maximum=10, step=1, default=1, label="Box Blur"),
+        gr.inputs.Slider(minimum=1, maximum=10, step=1, default=1, label="Blur Pool"),
+        gr.inputs.Slider(minimum=1, maximum=21, step=2, default=1, label="Gaussian Blur"),
+        gr.inputs.Slider(minimum=1, maximum=20, step=1, default=1, label="Max Pool"),
+        gr.inputs.Slider(minimum=1, maximum=5, step=2, default=1, label="Median Blur"),
+    ],
+    "image",
+    examples=examples,
+    # title=title,
+    # description=description,
+    # article=article,
+    live=True
+)
+
+iface.launch()

packages.txt

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+python3-opencv

requirements.txt

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+kornia
+kornia_rs
+opencv-python
+torch