Detect and recognize colors in images or video
Project description
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
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
Hall of Code
To the amazing human beings and developers that made this possible.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
ColorDetect-1.4.6.tar.gz
(11.0 kB
view hashes)
Built Distribution
Close
Hashes for ColorDetect-1.4.6-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 609141d0d9563e116bc8e17fe87d451b15de4142b23c5767c1bb87ec8903a786 |
|
MD5 | 812945c8ddbb681cc544b7601f5cedf6 |
|
BLAKE2b-256 | 213514cc84ef299092ca229626435807076af71e505dffd0f19185347eee1318 |