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Project for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.

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Hello, i'm getting the error below when running bloodvessel.py, any solution behind this? ` Traceback (most recent call last): File "bloodvessels.py", line 62, in bloodvessel = extract_bv(fundus) File "bloodvessels.py", line...

Hello, a PEP8 cleanup could be a nice improvement. flake8 can help. You can check PEP8 with Continuous Integration (Travis CI for example) See for example https://github.com/scls19fr/windrose/blob/master/.travis.yml https://medium.com/python-pandemonium/what-is-flake8-and-why-we-should-use-it-b89bd78073f2 Kind regards

enhancement

Hello, Instead of changing the `pathFolder` and `destinationFolder` variable in the file `bloodvessels.py` to point to the directory where your images are located (which can lead to inappropriate Git commits...

enhancement

https://github.com/getsanjeev/retina-features/blob/753a26d75c97dfa8a46f3d9242e61e94851d0c29/microaneurysm.py#L139 [os.path.join](https://docs.python.org/3/library/os.path.html#os.path.join) is OS independent

enhancement

https://github.com/getsanjeev/retina-features/blob/753a26d75c97dfa8a46f3d9242e61e94851d0c29/bloodvessels.py#L54 [os.path.expanduser](https://docs.python.org/3/library/os.path.html#os.path.expanduser) can help to avoid "/home/sherlock" in this script (which limit script usage on a Linux OS with a user named sherlock)

code improvement

bloodvessels.py ` ret,f6 = cv2.threshold(f5,15,255,cv2.THRESH_BINARY)` It may be necessary to apply a dynamic search for the binarization threshold, the result strongly depends on the illumination. For example Otsu's method.

Traceback (most recent call last): File "microaneurysm.py", line 1, in from SimpleCV import Image, Color File "/home/chuench/.local/lib/python2.7/site-packages/SimpleCV/__init__.py", line 3, in from SimpleCV.base import * File "/home/chuench/.local/lib/python2.7/site-packages/SimpleCV/base.py", line 59, in raise...