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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() |