A lightweight face-recognition toolbox and pipeline based on tensorflow-lite

Overview

FaceIDLight

Code style: black Contributors Last Commit License Downloads CI testing

📘 Description

A lightweight face-recognition toolbox and pipeline based on tensorflow-lite with MTCNN-Face-Detection and ArcFace-Face-Recognition. No need to install complete tensorflow, tflite-runtime is enough. All tools are using CPU only.

Pull request are welcome!

⚡️ Features

  • Online Face-Recognition
  • Running completely on CPU
  • Multi Faces
  • ~4 FPS on a MacBookPro2015
  • Tools for Face-Detection, -Verification and Identification

ToDos

  • GPU support
  • Resolution-dependent model-selection
  • Multithreading for multiple faces
  • Fix bug installing with setup.py (not finding external url for tflite-runtime)
  • OpenCV Window freezes on MacOS when quitting (seemed to be fixed)

🥣 Requirements

⚙️ How to install tflite-runtime

You can easily install tflite-runtime from https://google-coral.github.io/py-repo/ with the following line:

pip3 install tflite-runtime --find-links https://google-coral.github.io/py-repo/tflite-runtime

⚙️ How to install the FaceIDLight package

Simply install the package via pip from git:

pip3 install git+https://github.com/martlgap/FaceIDLight

or if you do not have git installed on your system, install it directly from the wheel:

pip3 install https://github.com/Martlgap/FaceIDLight/releases/download/v.0.1/FaceIDLight-0.1-py3-none-any.whl

🚀 Run Demo:

Run Python 3.8 and type in:

from FaceIDLight.demo import Demonstrator
Demonstrator().run()

You can select your own directory for gallery-images (*.png and *.jpg images are supported) by simply add a keyword argument to the Demonstrator Class: Demonstrator(gal_dir=<full-path-to-your-gallery>)

You might change the webcam address ID. Do so via selecting a certain number for stream id: Demonstrator(stream_id=<-1, 0, 1, 2, ...>)

Test the face-identification by simply holding a foto into camera. The provided sample_gallery includes images from: (Andrew_Caldecott, Anja_Paerson, Choi_Sung-hong, Elizabeth_Schumacher, Eva_Amurri, Jim_OBrien, Raul_Ibanez, Rubens_Barrichello, Takahiro_Mori)

Press "q" to close the Demo. (Window has to be selected)

📺 Example

This image shows an example of the Demonstrator(): example_image

🙏 Acknowledgement

📚 BibTex

If you use our trained models and want to cite our work feel free to use this: Image Resolution Susceptibility of Face Recognition Models

@inproceedings{Knoche2021ImageRS,
title={Image Resolution Susceptibility of Face Recognition Models},
author={Martin Knoche and Stefan Hormann and Gerhard Rigoll},
year={2021}
}

Comments
  • Update numpy requirement from ~=1.23.4 to ~=1.24.0

    Update numpy requirement from ~=1.23.4 to ~=1.24.0

    Updates the requirements on numpy to permit the latest version.

    Release notes

    Sourced from numpy's releases.

    v1.24.0

    NumPy 1.24 Release Notes

    The NumPy 1.24.0 release continues the ongoing work to improve the handling and promotion of dtypes, increase the execution speed, and clarify the documentation. There are also a large number of new and expired deprecations due to changes in promotion and cleanups. This might be called a deprecation release. Highlights are

    • Many new deprecations, check them out.
    • Many expired deprecations,
    • New F2PY features and fixes.
    • New "dtype" and "casting" keywords for stacking functions.

    See below for the details,

    This release supports Python versions 3.8-3.11.

    Deprecations

    Deprecate fastCopyAndTranspose and PyArray_CopyAndTranspose

    The numpy.fastCopyAndTranspose function has been deprecated. Use the corresponding copy and transpose methods directly:

    arr.T.copy()
    

    The underlying C function PyArray_CopyAndTranspose has also been deprecated from the NumPy C-API.

    (gh-22313)

    Conversion of out-of-bound Python integers

    Attempting a conversion from a Python integer to a NumPy value will now always check whether the result can be represented by NumPy. This means the following examples will fail in the future and give a DeprecationWarning now:

    np.uint8(-1)
    np.array([3000], dtype=np.int8)
    

    Many of these did succeed before. Such code was mainly useful for unsigned integers with negative values such as np.uint8(-1) giving np.iinfo(np.uint8).max.

    Note that conversion between NumPy integers is unaffected, so that np.array(-1).astype(np.uint8) continues to work and use C integer overflow logic. For negative values, it will also work to view the array: np.array(-1, dtype=np.int8).view(np.uint8). In some cases,

    ... (truncated)

    Commits
    • 8cec820 Merge pull request #22813 from charris/prepare-1.24.0-release
    • 8d33e68 REL: Prepare for the NumPy 1.24.0 release.
    • 5ac09da Merge pull request #22815 from charris/backport-22814
    • df2d26f BLD: use newer version of delocate
    • e18104e Merge pull request #22805 from charris/backport-22804
    • 6d44424 REV: revert change to numpyconfig.h for sizeof(type) hardcoding on macOS
    • c484593 Merge pull request #22795 from charris/backport-22791
    • 0904c01 Change argument to npy_floatstatus_..._barrier() functions to ensure it
    • 34653f9 Merge pull request #22793 from charris/backport-22789
    • 21f7096 BUG: Fix infinite recursion in longdouble/large integer scalar ops
    • Additional commits viewable in compare view

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  • Update setuptools requirement from ~=65.5.0 to ~=65.6.2

    Update setuptools requirement from ~=65.5.0 to ~=65.6.2

    Updates the requirements on setuptools to permit the latest version.

    Changelog

    Sourced from setuptools's changelog.

    v65.6.2

    No significant changes.

    v65.6.1

    Documentation changes ^^^^^^^^^^^^^^^^^^^^^

    • #3689: Documented that distutils.cfg might be ignored unless SETUPTOOLS_USE_DISTUTILS=stdlib.

    Misc ^^^^

    • #3678: Improve clib builds reproducibility by sorting sources -- by :user:danigm
    • #3684: Improved exception/traceback when invalid entry-points are specified.
    • #3690: Fixed logging errors: 'underlying buffer has been detached' (issue #1631).
    • #3693: Merge pypa/[email protected] with compatibility fix for distutils.log.Log.
    • #3695, #3697, #3698, #3699: Changed minor text details (spelling, spaces ...)
    • #3696: Removed unnecessary coding: utf-8 annotations
    • #3704: Fixed temporary build directories interference with auto-discovery.

    v65.6.0

    Changes ^^^^^^^

    v65.5.1

    Misc ^^^^

    • #3638: Drop a test dependency on the mock package, always use :external+python:py:mod:unittest.mock -- by :user:hroncok
    • #3659: Fixed REDoS vector in package_index.

    v65.5.0

    Changes

    ... (truncated)

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    dependencies 
    opened by dependabot[bot] 1
  • Update setuptools requirement from ~=65.5.0 to ~=65.6.0

    Update setuptools requirement from ~=65.5.0 to ~=65.6.0

    Updates the requirements on setuptools to permit the latest version.

    Changelog

    Sourced from setuptools's changelog.

    v65.6.0

    Changes ^^^^^^^

    v65.5.1

    Misc ^^^^

    • #3638: Drop a test dependency on the mock package, always use :external+python:py:mod:unittest.mock -- by :user:hroncok
    • #3659: Fixed REDoS vector in package_index.

    v65.5.0

    Changes ^^^^^^^

    • #3624: Fixed editable install for multi-module/no-package src-layout projects.
    • #3626: Minor refactorings to support distutils using stdlib logging module.

    Documentation changes ^^^^^^^^^^^^^^^^^^^^^

    • #3419: Updated the example version numbers to be compliant with PEP-440 on the "Specifying Your Project’s Version" page of the user guide.

    Misc ^^^^

    • #3569: Improved information about conflicting entries in the current working directory and editable install (in documentation and as an informational warning).
    • #3576: Updated version of validate_pyproject.

    v65.4.1

    Misc ^^^^

    v65.4.0

    ... (truncated)

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  • Update numpy requirement from ~=1.23.4 to ~=1.23.5

    Update numpy requirement from ~=1.23.4 to ~=1.23.5

    Updates the requirements on numpy to permit the latest version.

    Release notes

    Sourced from numpy's releases.

    v1.23.5

    NumPy 1.23.5 Release Notes

    NumPy 1.23.5 is a maintenance release that fixes bugs discovered after the 1.23.4 release and keeps the build infrastructure current. The Python versions supported for this release are 3.8-3.11.

    Contributors

    A total of 7 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

    • @​DWesl
    • Aayush Agrawal +
    • Adam Knapp +
    • Charles Harris
    • Navpreet Singh +
    • Sebastian Berg
    • Tania Allard

    Pull requests merged

    A total of 10 pull requests were merged for this release.

    • #22489: TST, MAINT: Replace most setup with setup_method (also teardown)
    • #22490: MAINT, CI: Switch to cygwin/[email protected]
    • #22494: TST: Make test_partial_iteration_cleanup robust but require leak...
    • #22592: MAINT: Ensure graceful handling of large header sizes
    • #22593: TYP: Spelling alignment for array flag literal
    • #22594: BUG: Fix bounds checking for random.logseries
    • #22595: DEV: Update GH actions and Dockerfile for Gitpod
    • #22596: CI: Only fetch in actions/checkout
    • #22597: BUG: Decrement ref count in gentype_reduce if allocated memory...
    • #22625: BUG: Histogramdd breaks on big arrays in Windows

    Checksums

    MD5

    8a412b79d975199cefadb465279fd569  numpy-1.23.5-cp310-cp310-macosx_10_9_x86_64.whl
    1b56e8e6a0516c78473657abf0710538  numpy-1.23.5-cp310-cp310-macosx_11_0_arm64.whl
    c787f4763c9a5876e86a17f1651ba458  numpy-1.23.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
    db07645022e56747ba3f00c2d742232e  numpy-1.23.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
    c63a6fb7cc16a13aabc82ec57ac6bb4d  numpy-1.23.5-cp310-cp310-win32.whl
    3fea9247e1d812600015641941fa273f  numpy-1.23.5-cp310-cp310-win_amd64.whl
    4222cfb36e5ac9aec348c81b075e2c05  numpy-1.23.5-cp311-cp311-macosx_10_9_x86_64.whl
    6c7102f185b310ac70a62c13d46f04e6  numpy-1.23.5-cp311-cp311-macosx_11_0_arm64.whl
    6b7319f66bf7ac01b49e2a32470baf28  numpy-1.23.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
    3c60928ddb1f55163801f06ac2229eb0  numpy-1.23.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
    6936b6bcfd6474acc7a8c162a9393b3c  numpy-1.23.5-cp311-cp311-win32.whl
    

    ... (truncated)

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  • Update setuptools requirement from ~=65.5.0 to ~=65.5.1

    Update setuptools requirement from ~=65.5.0 to ~=65.5.1

    Updates the requirements on setuptools to permit the latest version.

    Changelog

    Sourced from setuptools's changelog.

    v65.5.1

    Misc ^^^^

    • #3638: Drop a test dependency on the mock package, always use :external+python:py:mod:unittest.mock -- by :user:hroncok
    • #3659: Fixed REDoS vector in package_index.

    v65.5.0

    Changes ^^^^^^^

    • #3624: Fixed editable install for multi-module/no-package src-layout projects.
    • #3626: Minor refactorings to support distutils using stdlib logging module.

    Documentation changes ^^^^^^^^^^^^^^^^^^^^^

    • #3419: Updated the example version numbers to be compliant with PEP-440 on the "Specifying Your Project’s Version" page of the user guide.

    Misc ^^^^

    • #3569: Improved information about conflicting entries in the current working directory and editable install (in documentation and as an informational warning).
    • #3576: Updated version of validate_pyproject.

    v65.4.1

    Misc ^^^^

    v65.4.0

    Changes ^^^^^^^

    v65.3.0

    ... (truncated)

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  • Update setuptools requirement from ~=62.1.0 to ~=62.3.1

    Update setuptools requirement from ~=62.1.0 to ~=62.3.1

    Updates the requirements on setuptools to permit the latest version.

    Changelog

    Sourced from setuptools's changelog.

    v62.3.1

    Misc ^^^^

    • #3320: Fixed typo which causes namespace_packages to raise an error instead of warning.

    v62.3.0

    Deprecations ^^^^^^^^^^^^

    • #3262: Formally added deprecation messages for namespace_packages. The methodology that uses pkg_resources and namespace_packages for creating namespaces was already discouraged by the :doc:setuptools docs </userguide/package_discovery> and the :doc:Python Packaging User Guide <PyPUG:guides/packaging-namespace-packages>, therefore this change just make the deprecation more official. Users can consider migrating to native/implicit namespaces (as introduced in :pep:420).

    • #3308: Relying on include_package_data to ensure sub-packages are automatically added to the build wheel distribution (as "data") is now considered a deprecated practice.

      This behaviour was controversial and caused inconsistencies (#3260).

      Instead, projects are encouraged to properly configure packages or use discovery tools. General information can be found in :doc:userguide/package_discovery.

    Changes ^^^^^^^

    • #1806: Allowed recursive globs (**) in package_data. -- by :user:nullableVoidPtr
    • #3206: Fixed behaviour when both install_requires (in setup.py) and dependencies (in pyproject.toml) are specified. The configuration in pyproject.toml will take precedence over setup.py (in accordance with PEP 621). A warning was added to inform users.

    Documentation changes ^^^^^^^^^^^^^^^^^^^^^

    • #3307: Added introduction to references/keywords Added deprecation tags to test kwargs Moved userguide/keywords to deprecated section Clarified in deprecated doc what keywords came from distutils and which were added or changed by setuptools

    Misc ^^^^

    ... (truncated)

    Commits
    • b416443 Bump version: 62.3.0 → 62.3.1
    • 287040f Add news fragment
    • 93dd509 Remove comma
    • 1b7642b Bump version: 62.2.0 → 62.3.0
    • 73bc126 Add deprecation messages for namespace_packages (#3262)
    • 42d940f Update vendored pyparsing to fix problems with 3.11 (#3276)
    • e66ee62 Warn about deprecation of behaviour that considers modules/packages as data w...
    • aec2215 Remove residual dependencies from setup.py when dependencies are set in pypro...
    • fd072dc Allow recursive globs for package_data (#3309)
    • 269f3ac Add deprecation notices to docs
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  • Update setuptools requirement from ~=62.1.0 to ~=62.2.0

    Update setuptools requirement from ~=62.1.0 to ~=62.2.0

    Updates the requirements on setuptools to permit the latest version.

    Changelog

    Sourced from setuptools's changelog.

    v62.2.0

    Changes ^^^^^^^

    Misc ^^^^

    • #3282: Added CI cache for setup.cfg examples used when testing setuptools.config.

    v62.1.0

    Changes ^^^^^^^

    Misc ^^^^

    • #3249: Simplified package_dir obtained via auto-discovery.

    v62.0.0

    Breaking Changes ^^^^^^^^^^^^^^^^

    • #3151: Made setup.py develop --user install to the user site packages directory even if it is disabled in the current interpreter.

    Changes ^^^^^^^

    • #3153: When resolving requirements use both canonical and normalized names -- by :user:ldaniluk
    • #3167: Honor unix file mode in ZipFile when installing wheel via install_as_egg -- by :user:delijati

    Misc ^^^^

    • #3088: Fixed duplicated tag with the dist-info command.
    • #3247: Fixed problem preventing readme specified as dynamic in pyproject.toml from being dynamically specified in setup.py.

    v61.3.1

    ... (truncated)

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  • Update tqdm requirement from ~=4.63.0 to ~=4.63.1

    Update tqdm requirement from ~=4.63.0 to ~=4.63.1

    Updates the requirements on tqdm to permit the latest version.

    Release notes

    Sourced from tqdm's releases.

    tqdm v4.63.1 stable

    • fix stderr/stdout missing flush() (#1248 <- #1177)
    • misc speed improvements/optimisations
    Commits
    • 165a23a fix stderr/stdout missing flush()
    • c61a567 Use consistent flush syntax
    • 938b24a Ensure that stderr/stdout has flush attr before calling it
    • 2527b35 perf: misc optimisations caught by perflint
    • See full diff in compare view

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    dependencies 
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  • Update setuptools requirement from ~=60.7.1 to ~=60.8.1

    Update setuptools requirement from ~=60.7.1 to ~=60.8.1

    Updates the requirements on setuptools to permit the latest version.

    Changelog

    Sourced from setuptools's changelog.

    v60.8.1

    Misc ^^^^

    • #3084: When vendoring jaraco packages, ensure the namespace package is converted to a simple package to support zip importer.

    v60.8.0

    Changes ^^^^^^^

    • #3085: Setuptools now vendors importlib_resources and importlib_metadata and jaraco.text. Setuptools no longer relies on pkg_resources for ensure_directory nor parse_requirements.

    v60.7.1

    Misc ^^^^

    • #3072: Remove lorem_ipsum from jaraco.text when vendored.

    v60.7.0

    Changes ^^^^^^^

    • #3061: Vendored jaraco.text and use line processing from that library in pkg_resources.

    Misc ^^^^

    • #3070: Avoid AttributeError in easy_install.create_home_path when sysconfig.get_config_vars values are not strings.

    v60.6.0

    Changes ^^^^^^^

    • #3043: Merge with pypa/[email protected] including consolidated behavior in sysconfig.get_platform (pypa/distutils#104).
    • #3057: Don't include optional Home-page in metadata if no url is specified. -- by :user:cdce8p
    • #3062: Merge with pypa/[email protected] including improved support for lib directories on non-x64 Windows builds.

    ... (truncated)

    Commits
    • da71fab Bump version: 60.8.0 → 60.8.1
    • 8afd3a3 Ensure that _vendor/jaraco is available as a module. Fixes #3084.
    • e5530cb Bump version: 60.7.1 → 60.8.0
    • ed82c45 Merge https://github.com/jaraco/skeleton
    • badffe9 Use the parent category PytestDeprecationWarning, which is available on older...
    • d64fb2f Merge pull request #3086 from pypa/debt/remove-pkg-resources
    • 0e68232 Update changelog.
    • a43f99f Replace use of parse_requirements with _reqs.parse.
    • 157e36e Replace use of parse_requirements with simple constructor.
    • 73e08a8 Move requirements processing to _reqs module. Add parse function.
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  • Update setuptools requirement from ~=59.5.0 to ~=60.7.0

    Update setuptools requirement from ~=59.5.0 to ~=60.7.0

    Updates the requirements on setuptools to permit the latest version.

    Changelog

    Sourced from setuptools's changelog.

    v60.7.0

    Changes ^^^^^^^

    • #3061: Vendored jaraco.text and use line processing from that library in pkg_resources.

    Misc ^^^^

    • #3070: Avoid AttributeError in easy_install.create_home_path when sysconfig.get_config_vars values are not strings.

    v60.6.0

    Changes ^^^^^^^

    • #3043: Merge with pypa/[email protected] including consolidated behavior in sysconfig.get_platform (pypa/distutils#104).
    • #3057: Don't include optional Home-page in metadata if no url is specified. -- by :user:cdce8p
    • #3062: Merge with pypa/[email protected] including improved support for lib directories on non-x64 Windows builds.

    Misc ^^^^

    • #3054: Used Py3 syntax super().__init__() -- by :user:imba-tjd

    v60.5.4

    Misc ^^^^

    • #3009: Remove filtering of distutils warnings.
    • #3031: Suppress distutils replacement when building or testing CPython.

    v60.5.3

    Misc ^^^^

    • #3026: Honor sysconfig variables in easy_install.

    v60.5.2

    ... (truncated)

    Commits
    • 763cf01 Bump version: 60.6.0 → 60.7.0
    • dc342bb Merge pull request #3070 from domdfcoding/isue-3063
    • a3bc3d4 Create a function for only_strs to help document its purpose.
    • 9c4ed1a Update changelog.
    • ff9b0a9 Merge pull request #3061 from pypa/feature/vendor-jaraco-text
    • 2e5372b Update changelog.
    • 7956c10 Merge pull request #3060 from pypa/bugfix/3059-simple-session-build
    • ee8ed62 Skip non-string values from sysconfig.get_config_vars()
    • b2ba0e3 Bump version: 60.5.4 → 60.6.0
    • 1ae32a3 Merge pull request #3062 from pypa/distutils-b53a824ec3
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    dependencies 
    opened by dependabot[bot] 1
  • Update setuptools requirement from ~=59.5.0 to ~=60.6.0

    Update setuptools requirement from ~=59.5.0 to ~=60.6.0

    Updates the requirements on setuptools to permit the latest version.

    Changelog

    Sourced from setuptools's changelog.

    v60.6.0

    Changes ^^^^^^^

    • #3043: Merge with pypa/[email protected] including consolidated behavior in sysconfig.get_platform (pypa/distutils#104).
    • #3057: Don't include optional Home-page in metadata if no url is specified. -- by :user:cdce8p
    • #3062: Merge with pypa/[email protected] including improved support for lib directories on non-x64 Windows builds.

    Misc ^^^^

    • #3054: Used Py3 syntax super().__init__() -- by :user:imba-tjd

    v60.5.4

    Misc ^^^^

    • #3009: Remove filtering of distutils warnings.
    • #3031: Suppress distutils replacement when building or testing CPython.

    v60.5.3

    Misc ^^^^

    • #3026: Honor sysconfig variables in easy_install.

    v60.5.2

    Misc ^^^^

    • #2993: In _distutils_hack, for get-pip, simulate existence of setuptools.

    v60.5.1

    Misc ^^^^

    • #2918: Correct support for Python 3 native loaders.

    ... (truncated)

    Commits
    • b2ba0e3 Bump version: 60.5.4 → 60.6.0
    • 1ae32a3 Merge pull request #3062 from pypa/distutils-b53a824ec3
    • 44649c5 Add py_version_nodot_plat substitution support to easy_install.
    • c2a75dc Merge branch 'main' into distutils-b53a824ec3
    • 04b796f Add changelog
    • b53a824 Merge pull request #113 from zooba/issue112
    • 4471eee Merge pull request #114 from imba-tjd/patch-1
    • 917046d Only rely on py_version_nodot_plat where not present (Python 3.9 and earlier).
    • d16d759 Refactor to limit indentation and share behavior.
    • e996c28 Merge pull request #3057 from cdce8p/optional-home_page
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    opened by dependabot[bot] 1
  • Update scipy requirement from ~=1.9.3 to ~=1.10.0

    Update scipy requirement from ~=1.9.3 to ~=1.10.0

    Updates the requirements on scipy to permit the latest version.

    Release notes

    Sourced from scipy's releases.

    SciPy 1.10.0 Release Notes

    SciPy 1.10.0 is the culmination of 6 months of hard work. It contains many new features, numerous bug-fixes, improved test coverage and better documentation. There have been a number of deprecations and API changes in this release, which are documented below. All users are encouraged to upgrade to this release, as there are a large number of bug-fixes and optimizations. Before upgrading, we recommend that users check that their own code does not use deprecated SciPy functionality (to do so, run your code with python -Wd and check for DeprecationWarning s). Our development attention will now shift to bug-fix releases on the 1.10.x branch, and on adding new features on the main branch.

    This release requires Python 3.8+ and NumPy 1.19.5 or greater.

    For running on PyPy, PyPy3 6.0+ is required.

    Highlights of this release

    • A new dedicated datasets submodule (scipy.datasets) has been added, and is now preferred over usage of scipy.misc for dataset retrieval.
    • A new scipy.interpolate.make_smoothing_spline function was added. This function constructs a smoothing cubic spline from noisy data, using the generalized cross-validation (GCV) criterion to find the tradeoff between smoothness and proximity to data points.
    • scipy.stats has three new distributions, two new hypothesis tests, three new sample statistics, a class for greater control over calculations involving covariance matrices, and many other enhancements.

    New features

    scipy.datasets introduction

    • A new dedicated datasets submodule has been added. The submodules is meant for datasets that are relevant to other SciPy submodules ands content (tutorials, examples, tests), as well as contain a curated set of datasets that are of wider interest. As of this release, all the datasets from scipy.misc have been added to scipy.datasets (and deprecated in scipy.misc).
    • The submodule is based on Pooch (a new optional dependency for SciPy), a Python package to simplify fetching data files. This move will, in a subsequent release, facilitate SciPy to trim down the sdist/wheel sizes, by decoupling the data files and moving them out of the SciPy repository, hosting them externally and

    ... (truncated)

    Commits
    • dde5059 REL: 1.10.0 final [wheel build]
    • 7856f28 Merge pull request #17696 from tylerjereddy/treddy_110_final_prep
    • 205b624 DOC: add missing author
    • 1ab9f1b DOC: update 1.10.0 relnotes
    • ac2f45f MAINT: integrate._qmc_quad: mark as private with preceding underscore
    • 3e0ae1a REV: integrate.qmc_quad: delay release to SciPy 1.11.0
    • 34cdf05 MAINT: FFT pybind11 fixups
    • 843500a Merge pull request #17689 from mdhaber/gh17686
    • 089924b REL: integrate.qmc_quad: remove from release notes
    • 3e47110 REL: 1.10.0rc3 unreleased
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  • Update opencv-python requirement from ~=4.6.0.66 to ~=4.7.0.68

    Update opencv-python requirement from ~=4.6.0.66 to ~=4.7.0.68

    Updates the requirements on opencv-python to permit the latest version.

    Release notes

    Sourced from opencv-python's releases.

    4.7.0.68

    opencv-python: https://pypi.org/project/opencv-python/ opencv-contrib-python: https://pypi.org/project/opencv-contrib-python/ opencv-python-headless: https://pypi.org/project/opencv-python-headless/ opencv-contrib-python-headless: https://pypi.org/project/opencv-contrib-python-headless/

    OpenCV 4.7.0

    Changes:

    • Updated third-party libraries to fix potential vulnerabilities.
    • Dropped Python 3.6 support.
    • Added Python 3.11 support.
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    dependencies 
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  • Update numpy requirement from ~=1.23.4 to ~=1.24.1

    Update numpy requirement from ~=1.23.4 to ~=1.24.1

    Updates the requirements on numpy to permit the latest version.

    Release notes

    Sourced from numpy's releases.

    v1.24.1

    NumPy 1.24.1 Release Notes

    NumPy 1.24.1 is a maintenance release that fixes bugs and regressions discovered after the 1.24.0 release. The Python versions supported by this release are 3.8-3.11.

    Contributors

    A total of 12 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

    • Andrew Nelson
    • Ben Greiner +
    • Charles Harris
    • Clément Robert
    • Matteo Raso
    • Matti Picus
    • Melissa Weber Mendonça
    • Miles Cranmer
    • Ralf Gommers
    • Rohit Goswami
    • Sayed Adel
    • Sebastian Berg

    Pull requests merged

    A total of 18 pull requests were merged for this release.

    • #22820: BLD: add workaround in setup.py for newer setuptools
    • #22830: BLD: CIRRUS_TAG redux
    • #22831: DOC: fix a couple typos in 1.23 notes
    • #22832: BUG: Fix refcounting errors found using pytest-leaks
    • #22834: BUG, SIMD: Fix invalid value encountered in several ufuncs
    • #22837: TST: ignore more np.distutils.log imports
    • #22839: BUG: Do not use getdata() in np.ma.masked_invalid
    • #22847: BUG: Ensure correct behavior for rows ending in delimiter in...
    • #22848: BUG, SIMD: Fix the bitmask of the boolean comparison
    • #22857: BLD: Help raspian arm + clang 13 about __builtin_mul_overflow
    • #22858: API: Ensure a full mask is returned for masked_invalid
    • #22866: BUG: Polynomials now copy properly (#22669)
    • #22867: BUG, SIMD: Fix memory overlap in ufunc comparison loops
    • #22868: BUG: Fortify string casts against floating point warnings
    • #22875: TST: Ignore nan-warnings in randomized out tests
    • #22883: MAINT: restore npymath implementations needed for freebsd
    • #22884: BUG: Fix integer overflow in in1d for mixed integer dtypes #22877
    • #22887: BUG: Use whole file for encoding checks with charset_normalizer.

    Checksums

    ... (truncated)

    Commits
    • a28f4f2 Merge pull request #22888 from charris/prepare-1.24.1-release
    • f8fea39 REL: Prepare for the NumPY 1.24.1 release.
    • 6f491e0 Merge pull request #22887 from charris/backport-22872
    • 48f5fe4 BUG: Use whole file for encoding checks with charset_normalizer [f2py] (#22...
    • 0f3484a Merge pull request #22883 from charris/backport-22882
    • 002c60d Merge pull request #22884 from charris/backport-22878
    • 38ef9ce BUG: Fix integer overflow in in1d for mixed integer dtypes #22877 (#22878)
    • bb00c68 MAINT: restore npymath implementations needed for freebsd
    • 64e09c3 Merge pull request #22875 from charris/backport-22869
    • dc7bac6 TST: Ignore nan-warnings in randomized out tests
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  • Update scikit-learn requirement from ~=1.1 to ~=1.2

    Update scikit-learn requirement from ~=1.1 to ~=1.2

    Updates the requirements on scikit-learn to permit the latest version.

    Release notes

    Sourced from scikit-learn's releases.

    Scikit-learn 1.2.0

    We're happy to announce the 1.2.0 release.

    You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_2_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.2.html

    This version supports Python versions 3.8 to 3.11.

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    dependencies 
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  • Update setuptools requirement from ~=65.5.0 to ~=65.6.3

    Update setuptools requirement from ~=65.5.0 to ~=65.6.3

    Updates the requirements on setuptools to permit the latest version.

    Changelog

    Sourced from setuptools's changelog.

    v65.6.3

    Misc ^^^^

    • #3709: Fix condition to patch distutils.dist.log to only apply when using distutils from the stdlib.

    v65.6.2

    No significant changes.

    v65.6.1

    Documentation changes ^^^^^^^^^^^^^^^^^^^^^

    • #3689: Documented that distutils.cfg might be ignored unless SETUPTOOLS_USE_DISTUTILS=stdlib.

    Misc ^^^^

    • #3678: Improve clib builds reproducibility by sorting sources -- by :user:danigm
    • #3684: Improved exception/traceback when invalid entry-points are specified.
    • #3690: Fixed logging errors: 'underlying buffer has been detached' (issue #1631).
    • #3693: Merge pypa/[email protected] with compatibility fix for distutils.log.Log.
    • #3695, #3697, #3698, #3699: Changed minor text details (spelling, spaces ...)
    • #3696: Removed unnecessary coding: utf-8 annotations
    • #3704: Fixed temporary build directories interference with auto-discovery.

    v65.6.0

    Changes ^^^^^^^

    v65.5.1

    Misc

    ... (truncated)

    Commits
    • 6f7dd7c Bump version: 65.6.2 → 65.6.3
    • 0f513c1 Merge pull request #3709 from abravalheri/issue-3707
    • a4db65f Remove wrong comment
    • 5801753 Add news fragment
    • 4c267c7 Replace condition to patch distutils.dist.log
    • 7049c73 Add simple regression test for logging patches
    • e515641 Bump version: 65.6.1 → 65.6.2
    • bd60014 Minor adjustments in changelog
    • 00f59ef Bump version: 65.6.0 → 65.6.1
    • b0f42b9 Adequate news fragment file names
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  • Bump flake8 from 5.0.4 to 6.0.0

    Bump flake8 from 5.0.4 to 6.0.0

    Bumps flake8 from 5.0.4 to 6.0.0.

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Releases(v.0.1)
Owner
Martin Knoche
PhD @ Technische Universität München
Martin Knoche
Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation (ICCV2021)

Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation This is a pytorch project for the paper Dynamic Divide-and-Conquer Ad

DV Lab 29 Nov 21, 2022
Evaluation suite for large-scale language models.

This repo contains code for running the evaluations and reproducing the results from the Jurassic-1 Technical Paper (see blog post), with current support for running the tasks through both the AI21 S

71 Dec 17, 2022
Group Activity Recognition with Clustered Spatial Temporal Transformer

GroupFormer Group Activity Recognition with Clustered Spatial-TemporalTransformer Backbone Style Action Acc Activity Acc Config Download Inv3+flow+pos

28 Dec 12, 2022
TSDF++: A Multi-Object Formulation for Dynamic Object Tracking and Reconstruction

TSDF++: A Multi-Object Formulation for Dynamic Object Tracking and Reconstruction TSDF++ is a novel multi-object TSDF formulation that can encode mult

ETHZ ASL 130 Dec 29, 2022
Soft actor-critic is a deep reinforcement learning framework for training maximum entropy policies in continuous domains.

This repository is no longer maintained. Please use our new Softlearning package instead. Soft Actor-Critic Soft actor-critic is a deep reinforcement

Tuomas Haarnoja 752 Jan 07, 2023
Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

RandWireNN Unofficial PyTorch Implementation of: Exploring Randomly Wired Neural Networks for Image Recognition. Results Validation result on Imagenet

Seung-won Park 684 Nov 02, 2022
Multi-layer convolutional LSTM with Pytorch

Convolution_LSTM_pytorch Thanks for your attention. I haven't got time to maintain this repo for a long time. I recommend this repo which provides an

Zijie Zhuang 733 Dec 30, 2022
[CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427

Balanced MSE Code for the paper: Balanced MSE for Imbalanced Visual Regression Jiawei Ren, Mingyuan Zhang, Cunjun Yu, Ziwei Liu CVPR 2022 (Oral) News

Jiawei Ren 267 Jan 01, 2023
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

JAX: Autograd and XLA Quickstart | Transformations | Install guide | Neural net libraries | Change logs | Reference docs | Code search News: JAX tops

Google 21.3k Jan 01, 2023
:fire: 2D and 3D Face alignment library build using pytorch

Face Recognition Detect facial landmarks from Python using the world's most accurate face alignment network, capable of detecting points in both 2D an

Adrian Bulat 6k Dec 31, 2022
SegTransVAE: Hybrid CNN - Transformer with Regularization for medical image segmentation

SegTransVAE: Hybrid CNN - Transformer with Regularization for medical image segmentation This repo is the official implementation for SegTransVAE. Seg

Nguyen Truong Hai 4 Aug 04, 2022
📖 Deep Attentional Guided Image Filtering

📖 Deep Attentional Guided Image Filtering [Paper] Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao ,Xiangyang Ji Harbin Institute of Technology,

9 Dec 23, 2022
BOOKSUM: A Collection of Datasets for Long-form Narrative Summarization

BOOKSUM: A Collection of Datasets for Long-form Narrative Summarization Authors: Wojciech Kryściński, Nazneen Rajani, Divyansh Agarwal, Caiming Xiong,

Salesforce 125 Dec 31, 2022
Code and data to accompany the camera-ready version of "Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation" in EMNLP 2021

Code and data to accompany the camera-ready version of "Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation" in EMNLP 2021

Mozhdeh Gheini 16 Jul 16, 2022
PyTorch implementations of the beta divergence loss.

Beta Divergence Loss - PyTorch Implementation This repository contains code for a PyTorch implementation of the beta divergence loss. Dependencies Thi

Billy Carson 7 Nov 09, 2022
retweet 4 satoshi ⚡️

rt4sat retweet 4 satoshi This bot is the codebase for https://twitter.com/rt4sat please feel free to create an issue if you saw any bugs basically thi

6 Sep 30, 2022
As a part of the HAKE project, includes the reproduced SOTA models and the corresponding HAKE-enhanced versions (CVPR2020).

HAKE-Action HAKE-Action (TensorFlow) is a project to open the SOTA action understanding studies based on our Human Activity Knowledge Engine. It inclu

Yong-Lu Li 94 Nov 18, 2022
Vision Transformer for 3D medical image registration (Pytorch).

ViT-V-Net: Vision Transformer for Volumetric Medical Image Registration keywords: vision transformer, convolutional neural networks, image registratio

Junyu Chen 192 Dec 20, 2022
All supplementary material used by me while TA-ing CS3244: Machine Learning

CS3244-Tutorial-Material All supplementary material used by me while TA-ing CS3244: Machine Learning at NUS School of Computing. What is this? I teach

Rishabh Anand 18 Sep 23, 2022
[CVPR2022] Representation Compensation Networks for Continual Semantic Segmentation

RCIL [CVPR2022] Representation Compensation Networks for Continual Semantic Segmentation Chang-Bin Zhang1, Jia-Wen Xiao1, Xialei Liu1, Ying-Cong Chen2

Chang-Bin Zhang 71 Dec 28, 2022