app.py

import gradio as gr
import cv2
import numpy as np

def segment_image(image, spatial_radius=20, color_radius=30):
    segmented = cv2.pyrMeanShiftFiltering(image, spatial_radius, color_radius)
    return segmented

def edge_detection(image, threshold1=100, threshold2=200):
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    edges = cv2.Canny(gray, threshold1, threshold2)
    return edges

def edge_detection_interface(image, threshold1, threshold2):
    image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)  # Gradio 輸入為 RGB
    edges = edge_detection(image, threshold1, threshold2)
    return edges

def segmentation_interface(image, spatial_radius, color_radius):
    image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
    segmented = segment_image(image, spatial_radius, color_radius)
    return cv2.cvtColor(segmented, cv2.COLOR_BGR2RGB)

# 範例影像的路徑
example_images = [
    ["example/girl.jpeg"],  # 確保路徑正確，並且是圖片文件
    ["example/sea.jpeg"]
]

with gr.Blocks() as demo:
    gr.Markdown("### OpenCV 基本影像處理工具")

    with gr.Tab("邊緣檢測"):
        with gr.Row():
            input_image = gr.Image(label="上傳影像")
            output_image = gr.Image(label="結果影像")
        with gr.Row():
            threshold1_slider = gr.Slider(0, 255, value=100, label="弱邊緣檢測閾值 (低)")
            threshold2_slider = gr.Slider(0, 255, value=200, label="強邊緣檢測閾值 (高)")
        edge_button = gr.Button("執行")
        edge_button.click(edge_detection_interface, 
                          inputs=[input_image, threshold1_slider, threshold2_slider], 
                          outputs=output_image)
        # 範例影像按鈕
        gr.Examples(
            examples=example_images,
            inputs=input_image,
            outputs=output_image,
            fn=lambda x: x,  # 這裡可以處理或修改影像處理方法
            label="範例影像"
        )

    with gr.Tab("影像分割"):
        with gr.Row():
            input_image_seg = gr.Image(label="上傳影像")
            output_image_seg = gr.Image(label="結果影像")
        with gr.Row():
            spatial_slider = gr.Slider(1, 50, value=20, label="Spatial Radius")
            color_slider = gr.Slider(1, 50, value=30, label="Color Radius")
        segment_button = gr.Button("執行")
        segment_button.click(segmentation_interface, 
                             inputs=[input_image_seg, spatial_slider, color_slider], 
                             outputs=output_image_seg)
        # 範例影像按鈕
        gr.Examples(
            examples=example_images,
            inputs=input_image_seg,
            outputs=output_image_seg,
            fn=lambda x: x,  # 這裡可以處理或修改影像處理方法
            label="範例影像"
        )

# 啟動介面
if __name__ == "__main__":
    demo.launch()