OpenCV 可视化工具

pip install visual-logging

# USAGE
# python visual_logging_example.py

# 导入所需要的包
from logging import FileHandler
from vlogging import VisualRecord
import logging
import cv2
import webbrowser  # 用来显示网页的
import os
# open the logging file
logger = logging.getLogger("visual_logging_example")  # 创建一个指定名称的记录器
demo_file = "C:/BLOG/flyinglsj.github.io/_posts/OpenCV/OpenCV_demo/visual-logging-example/demo.html"
# if os.path.exists(demo_file) is not None:
#     os.remove(demo_file)
fh = FileHandler(demo_file, mode="w")  # 创建一个 html 文件，用来记录调试结果

# set the logger attributes
logger.setLevel(logging.DEBUG)  # 创建记录器的等级
logger.addHandler(fh)  # 将指定的处理程序添加到记录器

# 调试用例
image = cv2.imread(
    "C:/BLOG/flyinglsj.github.io/_posts/OpenCV/OpenCV_demo/visual-logging-example/Laplacian.jpg"
)
img_gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

# 第一次添加记录
logger.debug(VisualRecord("src", [image], fmt="png"))    
# 使用自适应阈值函数处理
for s in range(1, 6, 2):
    img_gray = cv2.medianBlur(img_gray, s)
    img_edge = cv2.adaptiveThreshold(img_gray,
                                     255,
                                     cv2.ADAPTIVE_THRESH_MEAN_C,
                                     cv2.THRESH_BINARY,
                                     blockSize=3,
                                     C=2)
    logger.debug(VisualRecord(("ksize = %d" % (s)), [image, img_edge], fmt="png"))


webbrowser.open_new_tab(demo_file)