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 havepipenvinstalled) - Run tests using
make test - Run tests in Docker using
make docker_test
1 maintainer
Metadata
1 maintainer
Release files for pdqhash 0.2.8
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pdqhash-0.2.8.tar.gz | 696.7 kB | Without provenance | Details for pdqhash-0.2.8.tar.gz |
Built distributions (wheels)
Total release size: 1.3 MB
Release files / pdqhash-0.2.8.tar.gz
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|---|---|
| Size | 696.7 kB |
| Tags | Source |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.2
|
Release files / pdqhash-0.2.8-cp313-cp313-win_amd64.whl
| Download URL | pdqhash-0.2.8-cp313-cp313-win_amd64.whl |
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| Size | 42.6 kB |
| Tags | CPython 3.13 Windows x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.2
|
Release files / pdqhash-0.2.8-cp313-cp313-macosx_10_13_universal2.whl
| Download URL | pdqhash-0.2.8-cp313-cp313-macosx_10_13_universal2.whl |
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| Size | 107.2 kB |
| Tags | CPython 3.13 macOS 10.13+ universal2 (ARM64, x86-64) |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.2
|
Release files / pdqhash-0.2.8-cp312-cp312-win_amd64.whl
| Download URL | pdqhash-0.2.8-cp312-cp312-win_amd64.whl |
|---|---|
| Size | 43.4 kB |
| Tags | CPython 3.12 Windows x86-64 |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.2
|
Release files / pdqhash-0.2.8-cp312-cp312-macosx_10_13_universal2.whl
| Download URL | pdqhash-0.2.8-cp312-cp312-macosx_10_13_universal2.whl |
|---|---|
| Size | 108.5 kB |
| Tags | CPython 3.12 macOS 10.13+ universal2 (ARM64, x86-64) |
|
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.2
|
Release files / pdqhash-0.2.8-cp311-cp311-win_amd64.whl
| Download URL | pdqhash-0.2.8-cp311-cp311-win_amd64.whl |
|---|---|
| Size | 43.7 kB |
| Tags | CPython 3.11 Windows x86-64 |
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No |
| Uploaded via |
twine/6.1.0 CPython/3.13.2
|
Release files / pdqhash-0.2.8-cp311-cp311-macosx_10_9_universal2.whl
| Download URL | pdqhash-0.2.8-cp311-cp311-macosx_10_9_universal2.whl |
|---|---|
| Size | 108.3 kB |
| Tags | CPython 3.11 macOS 10.9+ universal2 (ARM64, x86-64) |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.2
|
Release files / pdqhash-0.2.8-cp310-cp310-win_amd64.whl
| Download URL | pdqhash-0.2.8-cp310-cp310-win_amd64.whl |
|---|---|
| Size | 43.6 kB |
| Tags | CPython 3.10 Windows x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.2
|
Release files / pdqhash-0.2.8-cp310-cp310-macosx_10_9_universal2.whl
| Download URL | pdqhash-0.2.8-cp310-cp310-macosx_10_9_universal2.whl |
|---|---|
| Size | 107.5 kB |
| Tags | CPython 3.10 macOS 10.9+ universal2 (ARM64, x86-64) |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.2
|
Security for pdqhash 0.2.8
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