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| import gradio as gr | |
| import numpy as np | |
| import cv2 | |
| import open3d as o3d | |
| # Load 3D jewelry models | |
| def load_jewelry_model(model_path): | |
| mesh = o3d.io.read_triangle_mesh(model_path) | |
| return mesh | |
| # Function to simulate try-on | |
| def try_on_jewelry(image, jewelry_model_path): | |
| # Load input image | |
| input_image = cv2.imdecode(np.frombuffer(image.read(), np.uint8), cv2.IMREAD_COLOR) | |
| # Load 3D jewelry model | |
| jewelry_mesh = load_jewelry_model(jewelry_model_path) | |
| # Here, implement the virtual try-on logic, e.g., using 3D rendering libraries, facial landmarks detection, etc. | |
| # For the example, let's just overlay the jewelry on a static position | |
| overlay_image = input_image.copy() | |
| # Assume jewelry is placed at a fixed position for simplicity | |
| return overlay_image | |
| # Create Gradio interface | |
| iface = gr.Interface( | |
| fn=try_on_jewelry, | |
| inputs=[ | |
| gr.Image(tool="editor", type="file", label="Upload Your Image"), | |
| gr.inputs.Dropdown(["models/ring.obj", "models/necklace.glb"], label="Select Jewelry Model"), | |
| ], | |
| outputs="image", | |
| title="Virtual Jewelry Try-On", | |
| description="Upload your image and select a jewelry model to see how it looks on you.", | |
| ) | |
| iface.launch() | |