Bob interface for feature extraction using Tensorflow
This package is part of the signal-processing and machine learning toolbox Bob. This package contains functionality to extract features from CNNs trained with tensorflow http://http://tensorflow.org/
Installation
Complete Bob’s installation instructions. Then, to install this package, run:
$ conda install bob.ip.tensorflow_extractor
Contact
For questions or reporting issues to this software package, contact our development mailing list.
1 maintainer
Metadata
1 maintainer
Release files for bob.ip.tensorflow-extractor 0.0.7
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 |
|---|---|---|---|---|
| bob.ip.tensorflow_extractor-0.0.7.zip | 2.1 MB | Without provenance | Details for bob.ip.tensorflow_extractor-0.0.7.zip |
Release files / bob.ip.tensorflow_extractor-0.0.7.zip
| Download URL | bob.ip.tensorflow_extractor-0.0.7.zip |
|---|---|
| Size | 2.1 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
462e22a560ee3133d5deecb4196fd790a5681cbe7ba3f76d1006e193dacc54ca
|
|
BLAKE2b-256 checksum How to use checksums |
7c711007617568deb69080f3a1730480bfb52d17a2fde231e388495f3e5ccdeb
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0.post20200925 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.7.9
|
Security for bob.ip.tensorflow-extractor 0.0.7
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
