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import gradio as gr |
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import kornia as K |
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from kornia.core import concatenate, Tensor |
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def rescale_aa(file, height, width): |
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img: Tensor = K.io.load_image(file.name, K.io.ImageLoadType.RGB32) |
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img = img[None] |
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img_rescale: Tensor = K.geometry.rescale(img, (float(height),float(width)),antialias=False) |
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img_rescale_aa: Tensor = K.geometry.rescale(img, (float(height),float(width)),antialias=True) |
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img_out = concatenate([img_rescale, img_rescale_aa], -1) |
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return K.utils.tensor_to_image(img_out.clamp_(0, 1)) |
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examples = [ |
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["examples/a.png",0.25,0.25], |
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["examples/iron_man.jpeg",0.25,0.25], |
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] |
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kornia_resizing_demo = gr.Interface( |
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rescale_aa, |
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[ |
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gr.inputs.Image(type="file"), |
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gr.inputs.Slider(minimum=0.005, maximum=2, step=0.005, default=0.25, label="Height"), |
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gr.inputs.Slider(minimum=0.005, maximum=2, step=0.005, default=0.25, label="Width") |
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], |
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"image", |
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examples=examples, |
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live=False, |
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enable_queue = True, |
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allow_flagging = "never" |
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) |
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kornia_resizing_demo.launch() |