Ankan Ghosh
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3a2c851
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Parent(s):
4cc5e8f
Upload 4 files
Browse files- app.py +101 -0
- images/Apollo-8-Launch.png +0 -0
- images/times_square.jpg +0 -0
- requirements.txt +2 -0
app.py
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import gradio as gr
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import cv2
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import numpy as np
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from pathlib import Path
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# Import the existing homography and warping function from your existing script
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from billboard import apply_homography_and_warp
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# Define a function to select points on the image (similar to your `get_point_interface`)
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def get_point_interface(original_frame, points, evt: gr.SelectData):
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x, y = evt.index
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if points is None:
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points = []
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points = points.copy() # Make a copy to avoid modifying in-place
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points.append((x, y))
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# Draw the points and lines on the image
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image = original_frame.copy()
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for pt in points:
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cv2.circle(image, pt, 5, (255, 0, 0), -1)
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if len(points) > 1:
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for i in range(len(points) - 1):
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cv2.line(image, points[i], points[i + 1], (255, 0, 0), 2)
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return image, points
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# Function to process and apply homography (this will call your existing function)
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def process_images(source_image, dest_image, roi_points):
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# Ensure that exactly four points are selected
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if len(roi_points) != 4:
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return "Error: Please select exactly four points."
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# Convert images to correct format (if not already in uint8)
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img_src = np.array(source_image)
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img_dst = np.array(dest_image)
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# Apply homography and get the warped image
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result_img = apply_homography_and_warp(img_src, img_dst, np.array(roi_points))
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# Return the processed image
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return result_img
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# Gradio interface setup
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with gr.Blocks(title="Homography Warping App") as demo:
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gr.Markdown("# Homography Warping App")
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gr.Markdown(
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"Upload two images (source and destination), select the four points for ROI on the destination image, and click 'Process Images' to warp the source image onto the destination."
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)
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with gr.Row(equal_height=True):
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source_image_input = gr.Image(label="Upload Source Image")
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dest_image_input = gr.Image(label="Upload Destination Image")
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with gr.Column():
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dest_image_roi = gr.Image(label="Click to select ROI points on destination image")
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original_frame_state = gr.State(None)
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selected_points = gr.State([])
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clear_points_button = gr.Button("Clear Points")
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process_button = gr.Button("Process Images")
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with gr.Row():
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output_image = gr.Image(label="Wrapped Image")
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examples = [
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["./images/Apollo-8-Launch.png", "./images/times_square.jpg"],
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]
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with gr.Row():
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gr.Examples(
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examples=examples,
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inputs=[source_image_input, dest_image_roi],
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label="Load Example Images",
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)
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dest_image_input.upload(
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lambda img: img, inputs=dest_image_input, outputs=dest_image_roi # Simply return the uploaded image
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)
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# Adding the ROI point selection functionality
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dest_image_roi.select(
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get_point_interface, inputs=[dest_image_roi, selected_points], outputs=[dest_image_roi, selected_points]
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)
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# Clear the selected points
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clear_points_button.click(
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fn=lambda original_frame: (original_frame, []),
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inputs=dest_image_input,
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outputs=[dest_image_roi, selected_points],
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)
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# Callback for processing the images
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process_button.click(
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process_images, inputs=[source_image_input, dest_image_roi, selected_points], outputs=output_image
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)
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# Launch the Gradio app
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demo.launch()
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images/Apollo-8-Launch.png
ADDED
images/times_square.jpg
ADDED
requirements.txt
ADDED
@@ -0,0 +1,2 @@
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opencv-python==4.10.0.84
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gradio==5.5.0
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