https://github.com/linuxluigi/pycellfinder
https://github.com/linuxluigi/pycellfinder
image-object-detection opencv python3
Last synced: 14 days ago
JSON representation
- Host: GitHub
- URL: https://github.com/linuxluigi/pycellfinder
- Owner: linuxluigi
- License: mit
- Created: 2018-07-03T15:44:00.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2018-07-11T10:41:34.000Z (almost 8 years ago)
- Last Synced: 2025-03-11T05:56:12.402Z (about 1 year ago)
- Topics: image-object-detection, opencv, python3
- Language: Python
- Size: 22.5 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.rst
- License: LICENSE
Awesome Lists containing this project
README
============
PyCellFinder
============
.. image:: https://travis-ci.org/linuxluigi/PyCellFinder.svg?branch=master
:target: https://travis-ci.org/linuxluigi/PyCellFinder
.. image:: https://coveralls.io/repos/github/linuxluigi/PyCellFinder/badge.svg?branch=master
:target: https://coveralls.io/github/linuxluigi/PyCellFinder?branch=master
.. image:: https://readthedocs.org/projects/pycellfinder/badge/?version=latest
:target: https://pycellfinder.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
It's mostly an interface for `OpenCV `_ special make for counting cells on a picture.
Quickinstall
------------
To install this from the internet use pip or follow the
`install instructions `_::
$ python3 -m pip install git+git://github.com/linuxluigi/PyCellFinder.git
Usage
-----
Minimal Params
^^^^^^^^^^^^^^
Use it with the default parameters::
$ pycellfinder -i path_to_your_image
The output presents the count of found objects in the image.
Optional Params
^^^^^^^^^^^^^^^
=========================================== =============== ======================================================
usage default value description
=========================================== =============== ======================================================
-h, --help show a help message and exit
--version, -v show program's version number and exit
--input INPUT, -i INPUT path to input file
--output OUTPUT, -o OUTPUT path to output file
--plot PLOT, -p PLOT set True for plot output image
--threshold THRESHOLD, -t THRESHOLD 16 threshold level
--min_size MIN min object size
--max_size MAX max object size
--color COLOR filter by color 0=Black 255=White
--circularity CIRCULARITY filter by circularity, float value between 0.0 & 1.0
--convexity CONVEXITY filter by convexity, float value between 0.0 & 1.0
--inertia INERTIA filter by inertia
=========================================== =============== ======================================================