Demonstration of different algorithms and operations on faces
Recognition-Algorithms
Recognition of faces by different algorithms and frameworks. Despite a variety of open-source face recognition frameworks available, there was no ready-made solution to implement. So In this project, all kinds of algorithms are implemented and even with various operations can be implemented in a frontal face. The available algorithms processed only high-resolution static shots and have performed sufficiently.
Face-Recognition-using-IOT
Internet of Things has opened up a new avenue of research in the field of human activity recognition using wearable sensors. It provides an individual's valuable information regarding functional ability and lifestyle. Human activities are monitored automatically to provide personalized support to different individuals.
Facial Biometric
Facial Biometric technology measures and matches the unique characteristics for the purposes of identification or authentication. Often leveraging a digital or connected camera, facial recognition software can detect faces in images, quantify their features, and then match them against stored templates in a database.
Snapchat_Filters
Snapchat filters are certainly an integral part of what makes the social media platform and messaging app Snapchat unique and globally popular. Filters, or added effects, can be applied over images in a variety of ways before being uploaded to one’s social network for others to see. Geofilters allow users to alter a picture of a landscape, such as adding color to sky or turning day to night
Face-Mask-Detection
Face Mask Detection Platform uses Artificial Network to recognize if a user is not wearing a mask. The app can be connected to any existing or new IP mask detection cameras to detect people without a mask. App users can also add faces and phone numbers to send them an alert in case they are not wearing a mask. If the camera captures an unrecognized face, a notification can be sent out to the administrator.
Awesome-face-operations
Awesome Face Operations includes Face Morphing which is taking two faces as input and returning morph from the first image to second. Converting an image into a ghost image which is done using OpenCV and Numpy. Pencil Sketch In Python Using OpenCV. Image Segmentation Using Color space and Opencv. Addition of a blurring effect over an image. All this along with different classifications like age, gender and many more.
⭐ How to get started with open source?
You can refer to the following articles on the basics of Git and Github.
- Watch this video to get started, if you have no clue about open source
- Forking a Repo
- Cloning a Repo
- How to create a Pull Request
- Getting started with Git and GitHub
💥 How to Contribute to Face-X?
- Take a look at the Existing Issues or create your own Issues!
- Wait for the Issue to be assigned to you.
- Fork the repository
click on the uppermost button
- Clone your forked copy of the project.
git clone --depth 1 https://github.com/<your_user_name>/Face-X.git
Installation 👇
- Create virtual environment
python -m venv envLinux
source env/bin/activate
OR
Windows
env\Scripts\activate- Install
pip install -r requirements.txt- Have a look at Contributing Guidelines
- Read the Code of Conduct
Engaging and Collaborating with
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Get Started with Open Source programs 👨💻
Start Open Source an article by Anush Krishna
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