Finding Tiny Faces in PyTorch

varunagrawal, updated 🕥 2022-11-22 04:29:25

tiny-faces-pytorch

This is a PyTorch implementation of Peiyun Hu's awesome tiny face detector.

We use (and recommend) Python 3.6+ for minimal pain when using this codebase (plus Python 3.6 has really cool features).

NOTE Be sure to cite Peiyun's CVPR paper and this repo if you use this code!

This code gives the following mAP results on the WIDER Face dataset:

| Setting | mAP | |---------|-------| | easy | 0.902 | | medium | 0.892 | | hard | 0.797 |

Getting Started

  • Clone this repository.
  • Download the WIDER Face dataset and annotations files to data/WIDER.
  • Install dependencies with pip install -r requirements.txt.

Your data directory should look like this for WIDERFace

- data - WIDER - README.md - wider_face_split - WIDER_train - WIDER_val - WIDER_test

Pretrained Weights

You can find the pretrained weights which get the above mAP results here.

Training

Just type make at the repo root and you should be good to go!

In case you wish to change some settings (such as data location), you can modify the Makefile which should be super easy to work with.

Evaluation

To run evaluation and generate the output files as per the WIDERFace specification, simply run make evaluate. The results will be stored in the val_results directory.

You can then use the dataset's eval_tools to generate the mAP numbers (this needs Matlab/Octave).

Similarly, to run the model on the test set, run make test to generate results in the test_results directory.

Issues

Bump pillow from 6.2.0 to 9.3.0

opened on 2022-11-22 04:29:21 by dependabot[bot]

Bumps pillow from 6.2.0 to 9.3.0.

Release notes

Sourced from pillow's releases.

9.3.0

https://pillow.readthedocs.io/en/stable/releasenotes/9.3.0.html

Changes

... (truncated)

Changelog

Sourced from pillow's changelog.

9.3.0 (2022-10-29)

  • Limit SAMPLESPERPIXEL to avoid runtime DOS #6700 [wiredfool]

  • Initialize libtiff buffer when saving #6699 [radarhere]

  • Inline fname2char to fix memory leak #6329 [nulano]

  • Fix memory leaks related to text features #6330 [nulano]

  • Use double quotes for version check on old CPython on Windows #6695 [hugovk]

  • Remove backup implementation of Round for Windows platforms #6693 [cgohlke]

  • Fixed set_variation_by_name offset #6445 [radarhere]

  • Fix malloc in _imagingft.c:font_setvaraxes #6690 [cgohlke]

  • Release Python GIL when converting images using matrix operations #6418 [hmaarrfk]

  • Added ExifTags enums #6630 [radarhere]

  • Do not modify previous frame when calculating delta in PNG #6683 [radarhere]

  • Added support for reading BMP images with RLE4 compression #6674 [npjg, radarhere]

  • Decode JPEG compressed BLP1 data in original mode #6678 [radarhere]

  • Added GPS TIFF tag info #6661 [radarhere]

  • Added conversion between RGB/RGBA/RGBX and LAB #6647 [radarhere]

  • Do not attempt normalization if mode is already normal #6644 [radarhere]

... (truncated)

Commits


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How can I use the code to detect multi objects?

opened on 2022-09-22 11:23:13 by kanta0504

Hi,

Thank you for your code, I am thankful for your time and efforts.

I am trying your code to detect multi objects. I create a custom dataset and change "num_objects" to multi number. But, I get the error at line 81 in loss.py because of the difference in the shapes of "regression" and "regression_map".

Could you please confirm the code to detect the multi objects?

Thank you for your time and effort, I really appreciate it!

Regards,

Bump numpy from 1.16.4 to 1.22.0

opened on 2022-06-21 21:23:19 by dependabot[bot]

Bumps numpy from 1.16.4 to 1.22.0.

Release notes

Sourced from numpy's releases.

v1.22.0

NumPy 1.22.0 Release Notes

NumPy 1.22.0 is a big release featuring the work of 153 contributors spread over 609 pull requests. There have been many improvements, highlights are:

  • Annotations of the main namespace are essentially complete. Upstream is a moving target, so there will likely be further improvements, but the major work is done. This is probably the most user visible enhancement in this release.
  • A preliminary version of the proposed Array-API is provided. This is a step in creating a standard collection of functions that can be used across application such as CuPy and JAX.
  • NumPy now has a DLPack backend. DLPack provides a common interchange format for array (tensor) data.
  • New methods for quantile, percentile, and related functions. The new methods provide a complete set of the methods commonly found in the literature.
  • A new configurable allocator for use by downstream projects.

These are in addition to the ongoing work to provide SIMD support for commonly used functions, improvements to F2PY, and better documentation.

The Python versions supported in this release are 3.8-3.10, Python 3.7 has been dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix the occasional problems encountered by folks using truly huge arrays.

Expired deprecations

Deprecated numeric style dtype strings have been removed

Using the strings "Bytes0", "Datetime64", "Str0", "Uint32", and "Uint64" as a dtype will now raise a TypeError.

(gh-19539)

Expired deprecations for loads, ndfromtxt, and mafromtxt in npyio

numpy.loads was deprecated in v1.15, with the recommendation that users use pickle.loads instead. ndfromtxt and mafromtxt were both deprecated in v1.17 - users should use numpy.genfromtxt instead with the appropriate value for the usemask parameter.

(gh-19615)

... (truncated)

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Visualize result

opened on 2022-05-28 11:08:27 by toti-bz

is there a way to visualize the predictions?

Bump ipython from 6.4.0 to 7.16.3

opened on 2022-01-21 19:25:34 by dependabot[bot]

Bumps ipython from 6.4.0 to 7.16.3.

Commits


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Bump pygments from 2.2.0 to 2.7.4

opened on 2021-03-29 17:55:28 by dependabot[bot]

Bumps pygments from 2.2.0 to 2.7.4.

Release notes

Sourced from pygments's releases.

2.7.4

  • Updated lexers:

    • Apache configurations: Improve handling of malformed tags (#1656)

    • CSS: Add support for variables (#1633, #1666)

    • Crystal (#1650, #1670)

    • Coq (#1648)

    • Fortran: Add missing keywords (#1635, #1665)

    • Ini (#1624)

    • JavaScript and variants (#1647 -- missing regex flags, #1651)

    • Markdown (#1623, #1617)

    • Shell

      • Lex trailing whitespace as part of the prompt (#1645)
      • Add missing in keyword (#1652)
    • SQL - Fix keywords (#1668)

    • Typescript: Fix incorrect punctuation handling (#1510, #1511)

  • Fix infinite loop in SML lexer (#1625)

  • Fix backtracking string regexes in JavaScript/TypeScript, Modula2 and many other lexers (#1637)

  • Limit recursion with nesting Ruby heredocs (#1638)

  • Fix a few inefficient regexes for guessing lexers

  • Fix the raw token lexer handling of Unicode (#1616)

  • Revert a private API change in the HTML formatter (#1655) -- please note that private APIs remain subject to change!

  • Fix several exponential/cubic-complexity regexes found by Ben Caller/Doyensec (#1675)

  • Fix incorrect MATLAB example (#1582)

Thanks to Google's OSS-Fuzz project for finding many of these bugs.

2.7.3

... (truncated)

Changelog

Sourced from pygments's changelog.

Version 2.7.4

(released January 12, 2021)

  • Updated lexers:

    • Apache configurations: Improve handling of malformed tags (#1656)

    • CSS: Add support for variables (#1633, #1666)

    • Crystal (#1650, #1670)

    • Coq (#1648)

    • Fortran: Add missing keywords (#1635, #1665)

    • Ini (#1624)

    • JavaScript and variants (#1647 -- missing regex flags, #1651)

    • Markdown (#1623, #1617)

    • Shell

      • Lex trailing whitespace as part of the prompt (#1645)
      • Add missing in keyword (#1652)
    • SQL - Fix keywords (#1668)

    • Typescript: Fix incorrect punctuation handling (#1510, #1511)

  • Fix infinite loop in SML lexer (#1625)

  • Fix backtracking string regexes in JavaScript/TypeScript, Modula2 and many other lexers (#1637)

  • Limit recursion with nesting Ruby heredocs (#1638)

  • Fix a few inefficient regexes for guessing lexers

  • Fix the raw token lexer handling of Unicode (#1616)

  • Revert a private API change in the HTML formatter (#1655) -- please note that private APIs remain subject to change!

  • Fix several exponential/cubic-complexity regexes found by Ben Caller/Doyensec (#1675)

  • Fix incorrect MATLAB example (#1582)

Thanks to Google's OSS-Fuzz project for finding many of these bugs.

Version 2.7.3

(released December 6, 2020)

... (truncated)

Commits
  • 4d555d0 Bump version to 2.7.4.
  • fc3b05d Update CHANGES.
  • ad21935 Revert "Added dracula theme style (#1636)"
  • e411506 Prepare for 2.7.4 release.
  • 275e34d doc: remove Perl 6 ref
  • 2e7e8c4 Fix several exponential/cubic complexity regexes found by Ben Caller/Doyensec
  • eb39c43 xquery: fix pop from empty stack
  • 2738778 fix coding style in test_analyzer_lexer
  • 02e0f09 Added 'ERROR STOP' to fortran.py keywords. (#1665)
  • c83fe48 support added for css variables (#1633)
  • Additional commits viewable in compare view


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Varun Agrawal

PhD student at Georgia Tech.

GitHub Repository

face-detection face-detection-application deep-learning convolutional-neural-networks