📊 UPECG

# 安装必需的Python包
pip install opencv-python numpy scikit-image scipy

# 进入upecg项目目录
cd upecg

# 处理单张ECG图像
python ecg_preproc_poc.py ecg1.png

# 输出文件:
# - preproc.png  (网格移除后的图像)
# - mask.png     (ECG轨迹骨架掩码)
# - 控制台输出网格标定信息

import cv2
from ecg_preproc_poc import process_ecg_image

# 读取图像
img = cv2.imread('ecg1.png')

# 处理
result_img, mask, grid_info = process_ecg_image(img)

# 查看标定信息
print(f"像素密度: {grid_info['pixels_per_mm']}")
print(f"采样率: {grid_info['sampling_rate_hz']} Hz")
print(f"时间分辨率: {grid_info['time_per_pixel_s']*1000} ms/像素")