BRISQUE is a no-reference image quality score.
A good place to know how BRISQUE works : LearnOpenCV
# You will need to specify which version of OpenCV you intend to use with BRISQUE:
# * opencv-python
# * opencv-python-headless
# * opencv-contrib-python
# * opencv-contrib-python-headless
# You can do this with `pip install brisque[<YOUR CHOSEN VERSION HERE>]`, e.g.
pip install [opencv-python-headless]- Trying to perform Image Quality Assessment on local images
from brisque.brisque import BRISQUE
obj = BRISQUE(url=False)
obj.score("<Ndarray of the Image>")- Trying to perform Image Quality Assessment on web images
from brisque.brisque import BRISQUE
obj = BRISQUE(url=True)
obj.score("<URL for the Image>")- Input
from brisque.brisque import BRISQUE
import numpy as np
from PIL import Image
img_path = "brisque/tests/sample-image.jpg"
img = Image.open(img_path)
ndarray = np.asarray(img)
obj = BRISQUE(url=False)
obj.score(img=ndarray)- Output
34.84883848208594
- Input
from brisque.brisque import BRISQUE
URL = "https://www.mathworks.com/help/examples/images/win64/CalculateBRISQUEScoreUsingCustomFeatureModelExample_01.png"
obj = BRISQUE(url=True)
obj.score(URL)- Output
71.73427549219988