Blur Detection

Setup

To install, please ensure you have python 3.9.1 or later!

Install dependencies

Note! Some are only used for debugging the algorithm and can be removed if they don't install correctly on your computer! See the requirements.txt for notes.

pip3 install -r requirements.txt

Create the egg

This will make a python egg in the folder called output:

python3 create_egg.py

Add to your program

You can now add the module to your program:

import sys
from os import listdir
from os.path import isfile, join

# import the blur_detection from our module
import blur_detection

# Note! This path is relative to your python script
# Here we assume the script is in the root of this project
sys.path.append('./output/blur_detection-1.0-py3.9.egg')

# this is the file we want to process
file="../sample_images/blurry/frame-10-02-2022-13-26-03.jpg"

# create a blur detection object
obj = blur_detection.Blur(file)

# process the file. Note! you can optionally pass a blurriness threshold as an argument
result = obj.blur()
print(file + " is blurry: " + str(result))

Example program

There is an example program called ./scripts/test.py folder that will read all the files in the ./sample_images/blurry and ./sample_images/not_blurry folders and run them through the algorithm, and output the filename and whether it was detected to be blurry or not