Python library to hash by different methods. Useful to build indexes / similarity search.
The different hashing techniques are
- Average hashing - crushes the image into a grayscale 8x8 image and sets the 64 bits in the hash based on whether the pixel's value is greater than the average color for the image.
- Perceptual hashing - use a discrete cosine transform (DCT) and compares based on frequencies rather than color values
- Difference hashing - gradient hash, calculate the difference for each of the pixel and compares the difference with the average differences.
- Wavelet hashing - works in the frequency domain as pHash but it uses DWT instead of DCT.
- HSV color hashing (colorhash)
- Crop-resistant hashing
Package Installation
File Upload
Create Hash Methods
Depending on usecases need to evaluate which suits the need or a combination of techniques.
Keep Exploring!!!
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