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import gradio as gr |
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from PIL import Image, ImageOps |
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import numpy as np |
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import cv2 |
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tshirt_img = None |
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design_img = None |
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vertices = [] |
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polygon_drawn = False |
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design_pos = (250, 250) |
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def load_tshirt(image): |
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global tshirt_img |
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tshirt_img = image.resize((600, 600), Image.Resampling.LANCZOS) |
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return tshirt_img |
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def load_design(image): |
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global design_img, design_pos |
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design_img = image.resize((100, 100), Image.Resampling.LANCZOS) |
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design_pos = (250, 250) |
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return tshirt_img, design_img, design_pos |
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def add_polygon_vertex(x, y): |
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global vertices, polygon_drawn |
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if tshirt_img and not polygon_drawn: |
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vertices.append((x, y)) |
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if len(vertices) > 2 and np.linalg.norm(np.array(vertices[-1]) - np.array(vertices[0])) < 10: |
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vertices[-1] = vertices[0] |
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polygon_drawn = True |
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return tshirt_img, design_img, design_pos |
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def fit_design(): |
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global design_img, tshirt_img, vertices, polygon_drawn |
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if design_img and tshirt_img and polygon_drawn: |
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src_pts = np.array([[0, 0], [design_img.width, 0], [design_img.width, design_img.height], [0, design_img.height]], dtype="float32") |
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dst_pts = np.array(vertices, dtype="float32") |
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M = cv2.getPerspectiveTransform(src_pts, dst_pts) |
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design_np = np.array(design_img) |
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transformed_design = cv2.warpPerspective(design_np, M, (tshirt_img.width, tshirt_img.height)) |
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transformed_design_img = Image.fromarray(transformed_design) |
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design_img = transformed_design_img |
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return tshirt_img, design_img, design_pos |
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return tshirt_img, design_img, design_pos |
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def rotate_design(angle): |
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global design_img |
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if design_img: |
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angle = int(angle) |
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rotated_design = design_img.rotate(angle, expand=True) |
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design_img = rotated_design |
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return tshirt_img, design_img, design_pos |
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return tshirt_img, design_img, design_pos |
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def display_image(x=0, y=0, angle=0, image_type=None, image=None): |
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if image_type == "tshirt": |
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return load_tshirt(image) |
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elif image_type == "design": |
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return load_design(image) |
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elif image_type == "polygon": |
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return add_polygon_vertex(x, y) |
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elif image_type == "fit": |
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return fit_design() |
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elif image_type == "rotate": |
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return rotate_design(angle) |
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return tshirt_img, design_img, design_pos |
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with gr.Blocks() as demo: |
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tshirt_image = gr.Image(label="T-Shirt Image") |
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design_image = gr.Image(label="Design Image") |
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rotate_slider = gr.Slider(minimum=0, maximum=360, step=1, label="Rotate Design") |
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x_coord = gr.Number(label="X Coordinate") |
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y_coord = gr.Number(label="Y Coordinate") |
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tshirt_output = gr.Image(label="Output T-Shirt with Design") |
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design_output = gr.Image(label="Output Design on T-Shirt") |
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tshirt_image.upload(lambda image: display_image(image_type="tshirt", image=image), inputs=tshirt_image, outputs=tshirt_output) |
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design_image.upload(lambda image: display_image(image_type="design", image=image), inputs=design_image, outputs=[tshirt_output, design_output]) |
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gr.Button("Add Polygon Vertex").click(lambda x, y: display_image(x=x, y=y, image_type="polygon"), inputs=[x_coord, y_coord], outputs=[tshirt_output, design_output]) |
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gr.Button("Fit Design").click(lambda: display_image(image_type="fit"), None, [tshirt_output, design_output]) |
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rotate_slider.change(lambda angle: display_image(angle=angle, image_type="rotate"), inputs=rotate_slider, outputs=[tshirt_output, design_output]) |
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demo.launch(share=True) |
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