Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/MashiMaroLjc/Learn-to-identify-similar-images
Record my python script about Iearning to identify similar images
https://github.com/MashiMaroLjc/Learn-to-identify-similar-images
Last synced: 9 days ago
JSON representation
Record my python script about Iearning to identify similar images
- Host: GitHub
- URL: https://github.com/MashiMaroLjc/Learn-to-identify-similar-images
- Owner: MashiMaroLjc
- Created: 2016-02-16T12:47:14.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2022-11-20T07:43:11.000Z (almost 2 years ago)
- Last Synced: 2024-08-01T13:25:38.809Z (3 months ago)
- Language: Python
- Size: 13 MB
- Stars: 397
- Watchers: 28
- Forks: 174
- Open Issues: 6
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
[中文](Chinese.md)
I learn how to identify similar images, I wrote some python scripts.
I implement some algorithm what I study from Internet and
I will updata it during I learning Image classification.I hope these code can help someone who is beginner in identifying similar images just like me.
My goal is to one day use these algorithms on my web spider,
make it can collect to a certain class of images.So,if you are insteresting in it,welcome to Issues or pull requests.
Of course,I will happy if you give me a star.
##This is my script:
+ ```aHash.py``` This module can classify the image by Average Hash Method.
+ ```histogram.py``` This module can classify the image by Calculating the histogram.
+ ```histogram2.py``` This module also can classify the image by Calculating the histogram.But it will split the image to 16 pices and Calculating its histogram.So,it is more accurate than ```historgram.py```
+ ```pHash.py``` This module classify the image by Discrete Cosine Transform and the accurate rate has a little improve.
+ ```dHash.py ``` This module can classify the image by dHash.Someone is willing to tell me the name of the Dash in detail?
+ ```face1.py``` Find the location of the face using opencv.
+ ```face2.py``` On the base of ```face1.py``` to judge whether two face similar
+ ```imagecluster``` Using Using image clustering to classify the image.##My enviroment
+ [python3.4](https://www.python.org/)
+ [pillow](https://pypi.python.org/pypi/Pillow)
+ [openCV](http://opencv.org/)
To be continue......