Description:
pdqhash 0.2.5
pdqhash-python
These are Python bindings to the PDQ perceptual hash released by Facebook. Note that the bindings are provided under the MIT license but the PDQ source code is licensed separately under its own license (see the ThreatExchange/hashing/pdq folder).
Installation
pip install pdqhash
Usage
import pdqhash
image = cv2.imread(os.path.join('tests', 'images', image_name))
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
hash_vector, quality = pdqhash.compute(image)
# Get all the rotations and flips in one pass.
# hash_vectors is a list of vectors in the following order
# - Original
# - Rotated 90 degrees
# - Rotated 180 degrees
# - Rotated 270 degrees
# - Flipped vertically
# - Flipped horizontally
# - Rotated 90 degrees and flipped vertically
# - Rotated 90 degrees and flipped horizontally
hash_vectors, quality = pdqhash.compute_dihedral(image)
# Get the floating point values of the hash.
hash_vector_float, quality = pdqhash.compute_float(image)
Contributing
Set up local development using make init (you need to have pipenv installed)
Run tests using make test
Run tests in Docker using make docker_test
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
Customer Reviews
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