Face Library is an open source package for accurate and real-time face detection and recognition

Last update: Nov 09, 2022

Related tags

Overview

Face Library

Face Library is an open source package for accurate and real-time face detection and recognition. The package is built over OpenCV and using famous models and algorithms for face detection and recognition tasks. Make face detection and recognition with only one line of code. The Library doesn't use heavy frameworks like TensorFlow, Keras and PyTorch so it makes it perfect for production.

Installation

pip install face-library

Usage

Importing

from face_lib import face_lib
FL = face_lib()

The model is built over OpenCV, so it expects cv2 input (i.e. BGR image), it will support PIL in the next version for RGB inputs. At the end there is a piece of code to make PIL image like cv2 image.

Face detection

import cv2

img = cv2.imread(path_to_image)
faces = FL.get_faces(img) #return list of RGB faces image

If you want to get faces locations (coordinates) instead of the faces from the image you can use

no_of_faces, faces_coors = FL.faces_locations(face_img)

Face verfication

img_to_verfiy = cv2.imread(path_to_image_to_verify) #image that contain face you want verify
gt_img = cv2.imread(path_to_image_to_compare) #image of the face to compare with

face_exist, no_faces_detected = FL.recognition_pipeline(img_to_verfiy, gt_image)

You can change the threshold of verfication with the best for your usage or dataset like this :

face_exist, no_faces_detected = FL.recognition_pipeline(img_to_verfiy, gt_image, threshold = 1.1) #default number is 0.92

also if you know that gt_img has only one face and the image is zoomed to that face like this :

You can save computing time and the make the model more faster by using

face_exist, no_faces_detected = FL.recognition_pipeline(img_to_verfiy, gt_image, only_face_gt = True)

Extracting face embeddings

I you want represent the face with vector from face only image, you can use

face_embeddings = FL.face_embeddings(face_only_image)

For PIL images

import cv2
import numpy
from PIL import Image

PIL_img = Image.open(path_to_image)

cv2_img = cv2.cvtColor(numpy.array(PIL_img), cv2.COLOR_RGB2BGR) #now you can use this to be input for face_lib functions

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Support

There are many ways to support a project - starring ⭐️ the GitHub repo is just one.

Licence

Face library is licensed under the MIT License

You might also like...

A real-time speech emotion recognition application using Scikit-learn and gradio

Speech-Emotion-Recognition-App A real-time speech emotion recognition application using Scikit-learn and gradio. Requirements librosa==0.6.3 numpy sou

6 Oct 4, 2022

Jetson Nano-based smart camera system that measures crowd face mask usage in real-time.

MaskCam MaskCam is a prototype reference design for a Jetson Nano-based smart camera system that measures crowd face mask usage in real-time, with all

212 Dec 29, 2022

LaneDet is an open source lane detection toolbox based on PyTorch that aims to pull together a wide variety of state-of-the-art lane detection models

LaneDet is an open source lane detection toolbox based on PyTorch that aims to pull together a wide variety of state-of-the-art lane detection models. Developers can reproduce these SOTA methods and build their own methods.

405 Jan 4, 2023

A large-scale face dataset for face parsing, recognition, generation and editing.

CelebAMask-HQ [Paper] [Demo] CelebAMask-HQ is a large-scale face image dataset that has 30,000 high-resolution face images selected from the CelebA da

1.7k Dec 26, 2022

DVG-Face: Dual Variational Generation for Heterogeneous Face Recognition, TPAMI 2021

DVG-Face: Dual Variational Generation for HFR This repo is a PyTorch implementation of DVG-Face: Dual Variational Generation for Heterogeneous Face Re

52 Dec 30, 2022

Code for ACM MM2021 paper "Complementary Trilateral Decoder for Fast and Accurate Salient Object Detection"

CTDNet The PyTorch code for ACM MM2021 paper "Complementary Trilateral Decoder for Fast and Accurate Salient Object Detection" Requirements Python 3.6

28 Oct 20, 2022

A unofficial pytorch implementation of PAN(PSENet2): Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network

Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network Requirements pytorch 1.1+ torchvision 0.3+ pyclipper opencv3 gcc

400 Dec 26, 2022

Receptive Field Block Net for Accurate and Fast Object Detection, ECCV 2018

Receptive Field Block Net for Accurate and Fast Object Detection By Songtao Liu, Di Huang, Yunhong Wang Updatas (2021/07/23): YOLOX is here!, stronger

1.4k Dec 21, 2022

High accurate tool for automatic faces detection with landmarks

faces_detanator High accurate tool for automatic faces detection with landmarks. The library is based on public detectors with high accuracy (TinaFace

7 May 10, 2022

Comments

Face Recognition model corrupted

While running the script it says tat "face rcognition model corrupted" and starts to download the model. But it takes too long to download 90 mb file.
help wanted

opened by qnihat 4
import issue

This might be a noob python question, but:

git clone https://github.com/a-akram-98/face_lib.git cd face_lib/ virtualenv -p /usr/bin/python3 venv source venv/bin/activate pip install face-library ...

(venv) [email protected]:src (master)$ python Python 3.6.9 (default, Jan 26 2021, 15:33:00) [GCC 8.4.0] on linux Type "help", "copyright", "credits" or "license" for more information.

from face_lib import face_lib Traceback (most recent call last): File "", line 1, in File "/home/jim/source/face_lib/src/face_lib/init.py", line 1, in from .face_lib import face_lib File "/home/jim/source/face_lib/src/face_lib/face_lib.py", line 5, in from .BlazeDetector import BlazeFaceDetector File "/home/jim/source/face_lib/src/face_lib/BlazeDetector.py", line 5, in from blazeFaceUtils import gen_anchors, AnchorsOptions ModuleNotFoundError: No module named 'blazeFaceUtils'

How do I find the modules?
bug good first issue

opened by jvanvorst 2
Issue with size of the image

I saw that with big image 958x1280 it gave an opencv error! so 9i made a small function to resize it to 500 on the height:

`from face_lib import face_lib import cv2 import os FL = face_lib()

maxsize = int(500) #maximum height in pixel to get an opencv error file = "./sacha.jpg" filename, file_extension = os.path.splitext(os.path.basename(file))

def checksize(file): print("in") if not os.path.isfile(file): print("error file not found") exit(1) #get the filename and extensionof filepath img = cv2.imread(file) #Get the width and Heigth of filepath height, width, channels = img.shape #Get the correction factor if the image is to big if height > maxsize: factor = float(maxsize/height) print(factor) height = round(int(height) * factor) width = round(int(width) * factor) #Resize the image img = cv2.resize(img,(width, height)) return img

img = checksize(file) no_of_faces, faces_locations = FL.faces_locations(img) x,y,w,h = faces_locations[0] cv2.rectangle(img, (x,y),(x+w,y+h), (255,0,0),2) cv2.imshow(filename, img) cv2.waitKey(0)`

that can help anyone

opened by sachadee 0

Releases(v1.0.5)

v1.0.5(Oct 17, 2021)

This release hold the Face Recognition model
Source code(tar.gz)
Source code(zip)
graph_final.pb(89.67 MB)

Owner

GitHub Repository

[KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks

DiffMG This repository contains the code for our KDD 2021 Research Track paper: DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neura

24 Nov 29, 2022

Yolov5+SlowFast: Realtime Action Detection Based on PytorchVideo

Yolov5+SlowFast: Realtime Action Detection A realtime action detection frame work based on PytorchVideo. Here are some details about our modification:

181 Dec 30, 2022

Cards Against Humanity AI

cah-ai This is a Cards Against Humanity AI implemented using a pre-trained Semantic Search model. How it works A player is described by a combination

2 Aug 22, 2022

The official PyTorch code implementation of "Personalized Trajectory Prediction via Distribution Discrimination" in ICCV 2021.

Personalized Trajectory Prediction via Distribution Discrimination (DisDis) The official PyTorch code implementation of "Personalized Trajectory Predi

25 Dec 20, 2022

Official repository for "Deep Recurrent Neural Network with Multi-scale Bi-directional Propagation for Video Deblurring".

RNN-MBP Deep Recurrent Neural Network with Multi-scale Bi-directional Propagation for Video Deblurring (AAAI-2022) by Chao Zhu, Hang Dong, Jinshan Pan

22 Aug 31, 2022

Pretrained Cost Model for Distributed Constraint Optimization Problems

Pretrained Cost Model for Distributed Constraint Optimization Problems Requirements PyTorch 1.9.0 PyTorch Geometric 1.7.1 Directory structure baseline

2 Aug 28, 2022

Python package for Bayesian Machine Learning with scikit-learn API

Python package for Bayesian Machine Learning with scikit-learn API Installing & Upgrading package pip install https://github.com/AmazaspShumik/sklearn

482 Jan 04, 2023

Dynamic wallpaper generator.

Wiki • About • Installation About This project is a dynamic wallpaper changer. It waits untill you turn on the music, downloads album cover if it's po

3 Sep 18, 2021

TC-GNN with Pytorch integration

TC-GNN (Running Sparse GNN on Dense Tensor Core on Ampere GPU) Cite this project and paper. @inproceedings{TC-GNN, title={TC-GNN: Accelerating Spars

19 Dec 01, 2022

An efficient PyTorch library for Global Wheat Detection using YOLOv5. The project is based on this Kaggle competition Global Wheat Detection (2021).

Global-Wheat-Detection An efficient PyTorch library for Global Wheat Detection using YOLOv5. The project is based on this Kaggle competition Global Wh

11 Sep 25, 2022

Stock-history-display - something like a easy yearly review for your stock performance

Stock History Display Available on Heroku: https://stock-history-display.herokua

1 Jan 07, 2022

Pytorch implementation of "MOSNet: Deep Learning based Objective Assessment for Voice Conversion"

MOSNet pytorch implementation of "MOSNet: Deep Learning based Objective Assessment for Voice Conversion" https://arxiv.org/abs/1904.08352 Dependency L

9 Nov 18, 2022

Tiny Object Detection in Aerial Images.

AI-TOD AI-TOD is a dataset for tiny object detection in aerial images. [Paper] [Dataset] Description AI-TOD comes with 700,621 object instances for ei

116 Dec 30, 2022

EZ graph is an easy to use AI solution that allows you to make and train your neural networks without a single line of code.

EZ-Graph EZ Graph is a GUI that allows users to make and train neural networks without writing a single line of code. Requirements python 3 pandas num

1 Jul 03, 2022

[CVPR22] Official codebase of Semantic Segmentation by Early Region Proxy.

RegionProxy Figure 2. Performance vs. GFLOPs on ADE20K val split. Semantic Segmentation by Early Region Proxy Yifan Zhang, Bo Pang, Cewu Lu CVPR 2022

54 Nov 29, 2022

Official implementation of "Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform", ICCV 2021

Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform This repository is the implementation of "Variable-Rate Deep Image C

47 Dec 13, 2022

PyTorch implementation of Lip to Speech Synthesis with Visual Context Attentional GAN (NeurIPS2021)

Lip to Speech Synthesis with Visual Context Attentional GAN This repository contains the PyTorch implementation of the following paper: Lip to Speech

6 Nov 02, 2022

A pytorch implementation of the ACL2019 paper "Simple and Effective Text Matching with Richer Alignment Features".

RE2 This is a pytorch implementation of the ACL 2019 paper "Simple and Effective Text Matching with Richer Alignment Features". The original Tensorflo

287 Dec 21, 2022

Code for "Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space"

Sparse Steerable Convolution (SS-Conv) Code for "Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and

25 Dec 21, 2022

Cross-platform-profile-pic-changer - Script to change profile pictures across multiple platforms

cross-platform-profile-pic-changer script to change profile pictures across mult

4 Jan 17, 2022