https://github.com/willbrennan/blurdetection2
Blur Detection with OpenCV in Python
https://github.com/willbrennan/blurdetection2
blur blur-detection blur-detector blurry detection opencv python
Last synced: 19 days ago
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Blur Detection with OpenCV in Python
- Host: GitHub
- URL: https://github.com/willbrennan/blurdetection2
- Owner: WillBrennan
- License: mit
- Created: 2017-02-28T00:01:34.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2023-02-10T09:23:16.000Z (about 2 years ago)
- Last Synced: 2025-03-30T01:11:36.716Z (26 days ago)
- Topics: blur, blur-detection, blur-detector, blurry, detection, opencv, python
- Language: Python
- Size: 505 KB
- Stars: 358
- Watchers: 12
- Forks: 83
- Open Issues: 6
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
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README
# Blur Detection
Blur Detection works using the total variance of the laplacian of an
image, this provides a quick and accurate method for scoring how blurry
an image is.
This package only depends on numpy and opencv, to install them run,
```
pip install -U -r requirements.txt
```
The repository has a script, `process.py` which lets us run on single images or directories of images. The blur detection method is highly dependent on the size of the image being processed. To get consistent scores we fix the image size to HD, to disable this use `--variable-size`. The script has options to,
```bash
# run on a single image
python process.py -i input_image.png
# run on a directory of images
python process.py -i input_directory/
# or both!
python process.py -i input_directory/ other_directory/ input_image.png
```
. In addition to logging whether an image is blurry or not, we can also,
```bash
# save this information to json
python process.py -i input_directory/ -s results.json
# display blur-map image
python process.py -i input_directory/ -d
```
The saved json file has information on how blurry an image is, the higher the value, the less blurry the image.
```json
{
"images": ["/Users/demo_user/Pictures/Flat/"],
"fix_size": true,
"results": [
{
"blurry": false,
"input_path": "/Users/demo_user/Pictures/Flat/IMG_1666.JPG",
"score": 6984.8082115095549
},
],
"threshold": 100.0
}
```
This is based upon the blogpost [Blur Detection With Opencv](https://www.pyimagesearch.com/2015/09/07/blur-detection-with-opencv/) by Adrian Rosebrock.
