This package is implementation of GGB color space from Development of a Robust Algorithm for Detection of Nuclei and Classification of White Blood Cells in Peripheral Blood Smear Image.
This package could be installed via PyPI.
pip3 install ggb
or manually:
python3 setup.py install
Dockerfile is also provided in this project. To build the image:
cd docker/
bash docker.build.shor pull it directly from Docker Hub:
docker pull reshalfahsi/ggb
The documentations to this package could be built using Sphinx.
cd docs/
pip3 install -r requirements.txt
make htmlThe HTML pages are in docs/build/html.
This package supports various computer vision libraries such as OpenCV and PIL. Complete examples for these computer vision libraries are provided in here. For the short example in Python3:
# import the package and its necessary components
from ggb import GGB, ColorSpace
# we are using OpenCV
import cv2
import urllib.request as urllib
import numpy as np
# load image from internet
req = urllib.urlopen('https://github.com/reshalfahsi/GGB/raw/master/docs/img/leukocytes.png')
arr = np.asarray(bytearray(req.read()), dtype=np.uint8)
img = cv2.imdecode(arr, -1)
# convert to GGB Color
ggb_image = GGB(image=img, input_color=ColorSpace.BGR).process()
# show the result
ggb_image.show()
# save the image to OpenCV format
img = ggb_image.write()This package also could be run through CLI:
ggb /path/to/image --output /path/to/output
