colorfilters's Introduction

colorfilters

Threshold your images in any colorspace!

BGR (RGB)
HSV
HLS (HSL)
Lab (CIELAB/L*a*b*)
Luv (L*u*v*)
YCrCb (YCbCr/YCC)
XYZ (CIEXYZ)
Grayscale (single channel)

Getting Started

Install into a Python virtual environment, as you would any other Python project.

$ python3 -m venv venv
$ source venv/bin/activate
(venv) $ pip install git+https://github.com/alkasm/colorfilters

Run the module as a script on any image you want:

(venv) $ python3 -m colorfilters path/to/image.png hsv

Usage

As a script, just run the module directly as above. You can always check the --help flag when running the module as a script for more info:

(venv) $ python3 -m colorfilters --help
usage: test color thresholding of images in different colorspaces
       [-h] image {bgr,hsv,hls,lab,luv,ycc,xyz,gray}

positional arguments:
  image                 path to image
  {bgr,hsv,hls,lab,luv,ycc,xyz,gray}
                        colorspace to filter in

optional arguments:
  -h, --help            show this help message and exit

Use inside your own Python projects:

>>> from colorfilters import HSVFilter
>>> import cv2 as cv
>>> 
>>> img = cv.imread("lane.jpg")
>>> window = HSVFilter(img)
>>> window.show()
>>> 
>>> print(f"Image filtered in HSV between {window.lowerb} and {window.upperb}.")
Image filtered in HSV between [51, 0, 183] and [63, 255, 255].

The window object has a few properties you might be interested in after successfully filtering your image:

>>> window.lowerb     # lower bound used for cv.inRange()
>>> window.upperb     # upper bound used for cv.inRange()
>>> window.mask       # mask from cv.inRange()
>>> window.masked     # image with mask applied
>>> window.img        # image input into the window
>>> window.converted  # image converted into the corresponding colorspace

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