image_similarity | Python image similarity comparison | Computer Vision library
kandi X-RAY | image_similarity Summary
kandi X-RAY | image_similarity Summary
Python image similarity comparison using several techniques
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Top functions reviewed by kandi - BETA
- Compare two images
- Start the similarity between two images
- Compute the similarity between two bands
- Compute the similarity between two images
- Compute similarity between two images
- Computes the Hamming distance between two strings
- Return a grayscale
- Return a hexadecimal hash of the image
- Make directory p
- Create a directory recursively
image_similarity Key Features
image_similarity Examples and Code Snippets
Community Discussions
Trending Discussions on image_similarity
QUESTION
i started on a project which inputs 2 images and detect the keypoints using sift and then checking the similarity of the 2 images
i actually completed the project without converting the image files to greycode but later i understood that converting images to grey code and then comparing gives more accurate results
so i wrote the code to convert the image to greycode but i am facing a problem
...ANSWER
Answered 2017-Aug-13 at 17:54You don't need to convert it, if you load it as you do.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install image_similarity
You can use image_similarity like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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