ColorDetect
Documentation |
Package
ColorDetect works to recognize and identify different colors in an image or video.
pip install ColorDetectfrom 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` moduleYou 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:
pytestPre-commit hooks are used to automate linting
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Install the git hook scripts
pre-commit install
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(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.
To the amazing human beings and developers that made this possible.