https://github.com/dchaplinsky/visual-logging

A simple way to generate beautiful html logs with embedded images for CV purposes.
https://github.com/dchaplinsky/visual-logging

Last synced: about 1 month ago
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A simple way to generate beautiful html logs with embedded images for CV purposes.

• Host: GitHub
• URL: https://github.com/dchaplinsky/visual-logging
• Owner: dchaplinsky
• License: mit
• Created: 2014-10-16T23:25:55.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2022-11-22T00:30:21.000Z (over 1 year ago)
• Last Synced: 2024-05-11T02:21:31.484Z (about 1 month ago)
• Language: Python
• Size: 356 KB
• Stars: 120
• Watchers: 7
• Forks: 14
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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• awesome-stars - visual-logging

README

        
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](http://www.pyimagesearch.com/2014/12/22/visual-logging-new-favorite-tool-debugging-opencv-python-apps/) written by Adrian Rosebrock

[![Build Status](https://travis-ci.org/dchaplinsky/visual-logging.svg?branch=master)](https://travis-ci.org/dchaplinsky/visual-logging)

[![Coverage Status](https://coveralls.io/repos/dchaplinsky/visual-logging/badge.png)](https://coveralls.io/r/dchaplinsky/visual-logging)

## Installation

```pip install visual-logging```

No extra dependencies

## Usage example (see demo.py)

```python

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](http://dchaplinsky.github.io/visual-logging/)