visual-logging
A simple way to generate beautiful html logs with embedded images for CV purposes.
visual-logging piggy backs on logging module and allows you to use sick power of logging to debug your computer vision application on a whole new level.
Now you can add OpenCV images (well technically it's numpy arrays), PIL images and matplotlib graphs to your logs.
You can read about it in details in a great blog post visual-logging, my new favorite tool for debugging OpenCV and Python apps written by Adrian Rosebrock
Installation
pip install visual-logging
No extra dependencies
Usage example (see demo.py)
from logging import FileHandler
from vlogging import VisualRecord
if __name__ == '__main__':
import cv2
from PIL import Image
import numpy as np
import matplotlib.pyplot as plt
# evenly sampled time at 200ms intervals
t = np.arange(0., 5., 0.2)
fig1 = plt.figure()
plt.plot(t, t, 'r--', t, t ** 2, 'bs', t, t ** 3, 'g^')
cv_image = cv2.imread('lenna.jpg')
pil_image = Image.open('lenna.jpg')
import logging
logger = logging.getLogger("demo")
fh = FileHandler('test.html', mode="w")
logger.setLevel(logging.DEBUG)
logger.addHandler(fh)
logger.debug(VisualRecord(
"Hello from OpenCV", cv_image, "This is openCV image", fmt="png"))
logger.info(VisualRecord(
"Hello from PIL", pil_image, "This is PIL image", fmt="jpeg"))
logger.info(VisualRecord(
"Hello from pylab", fig1, "This is PyLab graph", fmt="png"))
logger.warning(
VisualRecord("Hello from all", [cv_image, pil_image, fig1],
fmt="png"))You can check generated html here