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Running
Running
AlirezaF138
commited on
Commit
•
56e1cfe
1
Parent(s):
3b2ba80
Update app.py
Browse files
app.py
CHANGED
@@ -45,34 +45,29 @@ def update_texture(*component_values):
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def on_random_click():
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random_values = randomize_texture()
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texture = generate_texture(*random_values)
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# Prepare updates for sliders and the image
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updates = [gr.update(value=value) for value in random_values]
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updates.append(texture)
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return updates
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def process_uploaded_image(uploaded_image):
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# Resize the image to match the texture size
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resized_image = cv2.resize(uploaded_image, (TEXTURE_SIZE, TEXTURE_SIZE))
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resized_image = cv2.cvtColor(resized_image, cv2.COLOR_RGB2BGR)
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flattened_image = resized_image.flatten()
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# Project the image into the PCA component space
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centered_image = flattened_image - mean_texture
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coefficients = np.dot(centered_image, components.T)
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# Clip the coefficients within the allowed slider ranges
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clipped_coefficients = [np.clip(coeff, -slider_ranges[i], slider_ranges[i]) for i, coeff in enumerate(coefficients)]
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return clipped_coefficients
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def on_image_upload(image):
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# Process the uploaded image and get PCA coefficients
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coefficients = process_uploaded_image(image)
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texture = generate_texture(*coefficients)
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# Update sliders and image
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updates = [gr.update(value=value) for value in coefficients]
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updates.append(texture)
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return updates
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# Create Gradio interface
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with gr.Blocks() as demo:
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with gr.Row():
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@@ -88,24 +83,27 @@ with gr.Blocks() as demo:
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label=component_names[i]
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)
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sliders.append(slider)
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with gr.Column():
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output_image = gr.Image(
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label="Generated Texture"
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)
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random_button = gr.Button("Randomize Texture")
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upload_image = gr.Image(
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label="Upload Image",
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sources=['upload', 'clipboard'],
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type="numpy"
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)
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# Update texture when
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)
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# Randomize texture and update sliders and image
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random_button.click(
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@@ -114,11 +112,18 @@ with gr.Blocks() as demo:
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outputs=[*sliders, output_image]
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)
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# Update sliders
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fn=on_image_upload,
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inputs=upload_image,
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outputs=
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)
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demo.launch()
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def on_random_click():
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random_values = randomize_texture()
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texture = generate_texture(*random_values)
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updates = [gr.update(value=value) for value in random_values]
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updates.append(texture)
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return updates
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def process_uploaded_image(uploaded_image):
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resized_image = cv2.resize(uploaded_image, (TEXTURE_SIZE, TEXTURE_SIZE))
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resized_image = cv2.cvtColor(resized_image, cv2.COLOR_RGB2BGR)
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flattened_image = resized_image.flatten()
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centered_image = flattened_image - mean_texture
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coefficients = np.dot(centered_image, components.T)
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clipped_coefficients = [np.clip(coeff, -slider_ranges[i], slider_ranges[i]) for i, coeff in enumerate(coefficients)]
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return clipped_coefficients
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def on_image_upload(image):
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coefficients = process_uploaded_image(image)
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updates = [gr.update(value=value) for value in coefficients]
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return updates
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+
def on_update_click(*component_values):
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texture = generate_texture(*component_values)
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return texture
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# Create Gradio interface
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with gr.Blocks() as demo:
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with gr.Row():
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label=component_names[i]
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)
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sliders.append(slider)
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update_texture_button = gr.Button("Update Texture")
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random_button = gr.Button("Randomize Texture")
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get_components_button = gr.Button("Get Components from Image")
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with gr.Column():
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output_image = gr.Image(
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label="Generated Texture"
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)
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upload_image = gr.Image(
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label="Upload Image",
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sources=['upload', 'clipboard'],
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type="numpy"
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)
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# Update texture when clicking the "Update Texture" button
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update_texture_button.click(
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fn=on_update_click,
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inputs=sliders,
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outputs=output_image
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)
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# Randomize texture and update sliders and image
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random_button.click(
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outputs=[*sliders, output_image]
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)
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# Update sliders based on the uploaded image when clicking "Get Components from Image"
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get_components_button.click(
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fn=on_image_upload,
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inputs=upload_image,
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outputs=sliders
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)
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# Keep the uploaded image for reference (no update on texture yet)
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upload_image.change(
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fn=None,
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inputs=None,
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outputs=[]
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)
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demo.launch()
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