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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(source="upload", tool="editor", type="file"), | |
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() | |