label_tool.py

import gradio as gr
import numpy as np

def get_mask(im):
    """
    im: ImageEditor 返回的数据结构
    """
    layers = im.get("layers", [])
    if not layers:
        return "No drawing yet"

    # 取第一层作为示例
    layer0 = layers[0]
    mask = layer0 > 0  # 布尔数组，True 表示用户绘制的像素

    coords = np.argwhere(mask)  # 获取绘制像素的坐标
    print("Mask shape:", mask.shape)
    print("Number of drawn pixels:", np.sum(mask))
    print("Coordinates of drawn pixels (y, x):", coords)

    return mask[...,3].astype(np.uint8)*255  # 可视化 mask

with gr.Blocks() as demo:
    with gr.Row():
        im_editor = gr.ImageEditor(type="numpy", crop_size="1:1")
        mask_preview = gr.Image()
    
    im_editor.change(get_mask, inputs=im_editor, outputs=mask_preview)

if __name__ == "__main__":
    demo.launch()