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app.py
CHANGED
@@ -21,11 +21,11 @@ def infer(test_image):
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inv2_kernel = tf.reduce_sum(inv2_kernel, axis=[-1, -2, -3])
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inv3_kernel = tf.reduce_sum(inv3_kernel, axis=[-1, -2, -3])
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return
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tf.keras.utils.array_to_img(inv1_kernel[0, ..., None]),
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tf.keras.utils.array_to_img(inv2_kernel[0, ..., None]),
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tf.keras.utils.array_to_img(inv3_kernel[0, ..., None]),
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# define the article
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article = """<center>
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@@ -45,19 +45,17 @@ Involution Kernel
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description="""
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Visualize the activation maps from the Involution Kernel.π΅π»ββοΈ
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"""
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labels = [
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"1",
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"2",
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"3",
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]
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iface = gr.Interface(
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fn=infer,
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title="Involutional Neural Networks",
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article=article,
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description=description,
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inputs=gr.inputs.Image(label="Input Image"),
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outputs=
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examples=[["examples/lama.jpeg"], ["examples/dalai_lama.jpeg"]],
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layout="horizontal",
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).launch(share=True)
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inv2_kernel = tf.reduce_sum(inv2_kernel, axis=[-1, -2, -3])
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inv3_kernel = tf.reduce_sum(inv3_kernel, axis=[-1, -2, -3])
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return (
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tf.keras.utils.array_to_img(inv1_kernel[0, ..., None]),
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tf.keras.utils.array_to_img(inv2_kernel[0, ..., None]),
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tf.keras.utils.array_to_img(inv3_kernel[0, ..., None]),
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)
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# define the article
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article = """<center>
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description="""
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Visualize the activation maps from the Involution Kernel.π΅π»ββοΈ
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"""
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iface = gr.Interface(
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fn=infer,
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title="Involutional Neural Networks",
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article=article,
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description=description,
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inputs=gr.inputs.Image(label="Input Image"),
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outputs=[
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gr.outputs.Image(label="Activation from Kernel 1"),
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gr.outputs.Image(label="Activation from Kernel 2"),
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gr.outputs.Image(label="Activation from Kernel 3"),
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],
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examples=[["examples/lama.jpeg"], ["examples/dalai_lama.jpeg"]],
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layout="horizontal",
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).launch(share=True)
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