Face Recognition and OpenCV
by Satendra Updated: Aug 3, 2022
Solution Kit
What is face recognition and how does it work? First of all what is recognition? Let's take an example, the first thing that comes to mind when you see an orange fruit is that it is an orange fruit. In simple terms, your mind telling you that this is an orange fruit, is recognition. So, what exactly is face recognition? I'm confident you guessed correctly. You identify your friend Bob when you see him strolling down the street or when you see a photo of him. But, more importantly, how does face recognition work? It's easy to use and understand. Consider this scenario: you meet someone for the first time in your life and you don't recognize him, right? You examine his face, eyes, nose, lips, color, and overall appearance while he speaks or shakes your hand. This is your mind learning or training to recognize that person's face by collecting face data. The next question is how to implement face recognition using OpenCV and other open source libraries? So, there you have it. You would argue that human minds can easily do these things, but programming them into a machine is tough. Don't worry, it's not the case. Face recognition is as simple as it appears thanks to different open source libraries . Face recognition follows the same coding techniques as the real-life example we examined earlier.
Libraries for Image Pre-processing
Following are Image Pre Processing Libraries. By annotating and labelling photos, these libraries aid in data preparation. Additionally, photos are processed in order to run a machine learning algorithm.
impyby lozuwa
Impy is a Python3 library with features that help you in your computer vision tasks.
impyby lozuwa
Python
110
Version:impy-0.1
License: Permissive (Apache-2.0)
nsvisionby Nsemble
nsvision is a python library and command line tool build for simplifying image pre-processing / post-processing. We have optimised the library for reducing the code work while working on image / video processing for data science related work.
nsvisionby Nsemble
Python
5
Version:v0.0.9
License: Permissive (MIT)
hocroxby imdeepmind
Hocrox: An image preprocessing and augmentation library with Keras like interface.
hocroxby imdeepmind
Python
1
Version:v0.3.0
License: Permissive (MIT)
image-preprocessingby eleijonmarck
A library of preprocessing images for Keras. Mostly for educational purposes and my own. :)
image-preprocessingby eleijonmarck
Python
1
Version:Current
License: Permissive (MIT)
klar-EDAby klarEDA
A python library for automated exploratory data analysis
klar-EDAby klarEDA
Python
13
Version:Current
License: Permissive (MIT)
python-wsi-preprocessingby deroneriksson
Python Whole Slide Image Preprocessing
python-wsi-preprocessingby deroneriksson
Python
201
Version:Current
License: No License
Libraries for Face recognition models
There are various libraries for implementing face recognition models, important and easy to use are listed here.
face.evoLVe.PyTorchby ZhaoJ9014
🔥🔥High-Performance Face Recognition Library on PyTorch🔥🔥
face.evoLVe.PyTorchby ZhaoJ9014
Python
2420
Version:Current
License: Permissive (MIT)
deepfaceby serengil
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
deepfaceby serengil
Python
5892
Version:Current
License: Permissive (MIT)
pazby oarriaga
Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.
pazby oarriaga
Python
457
Version:0.1.10
License: Permissive (MIT)
libfaceidby richmondu
libfaceid is a research framework for prototyping of face recognition solutions. It seamlessly integrates multiple detection, recognition and liveness models w/ speech synthesis and speech recognition.
libfaceidby richmondu
Python
362
Version:libfaceid_0.0.2
License: Permissive (MIT)
face-rec-toolsby sashacmc
Media library face recognition tools
face-rec-toolsby sashacmc
Python
12
Version:v1.0.0
License: Strong Copyleft (GPL-3.0)
Facenet
Facenet an important model for face recognition. To learn more click here!
Facial-Emotion-Recognition using Images
Images of faces with happy/sad emotion are provided in the data. Using PCA and LDA we can create a face emotion recognizing model based on dimensionality reduction technique. Check the source code here: Visit to my repo!
Human Activity Recognition
Dataset link: Dataset! Classifying activity(WALKING, WALKINGUPSTAIRS, WALKINGDOWNSTAIRS, SITTING, STANDING, LAYING) of person based on smartphone sensor data using various classical machine learning models like SVM, KNN, Logistic regression and comparing there results. Check the code on: Visit to my repo! Following are libraries which are useful to implement the HAR model and doing preprocessing tasks.
scikit-learnby scikit-learn
scikit-learn: machine learning in Python
scikit-learnby scikit-learn
Python
53544
Version:1.2.2
License: Permissive (BSD-3-Clause)
numpyby numpy
The fundamental package for scientific computing with Python.
numpyby numpy
Python
23036
Version:v1.24.2
License: Permissive (BSD-3-Clause)
pandasby pandas-dev
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
pandasby pandas-dev
Python
37428
Version:v2.0.0rc1
License: Permissive (BSD-3-Clause)
matplotlib.pyplotby yadavrahyl2k15
Information about matplot lib module and different graphs
matplotlib.pyplotby yadavrahyl2k15
Jupyter Notebook
0
Version:Current
License: No License
Unsupervised Sentiment Analysis
Implemented sentiment analysis model for movie reviews by extraction of TF-IDF features and Gaussian Mixture Models (GMMs) in python. Dataset: Corpus with 1000 movie reviews. Implementing GMMs and TF-IDF with the help of open source libraries we can develop a unsupervised Sentiment Analysis Model. Check the code on: Visit to my repo! Following are open source libraries which are useful to implement this model.
nltk-trainerby japerk
Train NLTK objects with zero code
nltk-trainerby japerk
Python
735
Version:Current
License: Permissive (Apache-2.0)