ColorDetect 1.6.0

Detect and recognize colors in images or video

ColorDetect

ColorDetect
Documentation | Package

ColorDetect works to recognize and identify different colors in an image or video.

Installation

pip install ColorDetect

Basic Usage

Images

from colordetect import ColorDetect


user_image = ColorDetect(<path_to_image>)
# return dictionary of color count. Do anything with this
user_image.get_color_count()

# write color count
user_image.write_color_count()
# optionally, write any text to the image
user_image.write_text(text="any text")

# save the image after using either of the options (write_color_count/write_text) or both
user_image.save_image(<storage_path>,<image_name>)

Resultant image is stored in the string storage_path of choice with the image_name which will default to the current location and out.jpg respectively by default.

Videos

from colordetect import VideoColor,col_share

user_video = VideoColor(<path_to_video>)
# return dictionary of color count. Do anything with this result
user_video.get_video_frames(progress=True)
# to order this rather long result and get only a specific number look up the `col_share` module

You can also get colors at a specific time and extract the frame at that given time.

Project Documentation

For further project documentation, visit ColorDetect's page

Contributions

Contributions are welcome. Do remember to take a look at the project contribution guidelines

Tests

To run tests:

pytest

Pre-commit

Pre-commit hooks are used to automate linting

1. Install the git hook scripts

   pre-commit install
   

2. (optional) Run against all the files

   pre-commit run --all-files
   

The installed pre-commit hooks will automatically ensure use of a consistent code format and style whenever one commits changes using git. For full documentation, view the pre-commit docs.

Hall of Code

To the amazing human beings and developers that made this possible.