ColorDetect works to recognize and identify different colors in an image or video.
pip install ColorDetect
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.
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.
For further project documentation, visit ColorDetect's page
Contributions are welcome. Do remember to take a look at the project contribution guidelines
To run tests:
Pre-commit hooks are used to automate linting
Install the git hook scripts
(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.