InspireFace is a cross-platform face recognition SDK developed in C/C++, supporting multiple operating systems and various backend types for inference, such as CPU, GPU, and NPU.
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Updated
May 29, 2024 - C++
InspireFace is a cross-platform face recognition SDK developed in C/C++, supporting multiple operating systems and various backend types for inference, such as CPU, GPU, and NPU.
Leading free and open-source face recognition system
Face Recognition on NIST FRVT Top Ranked ,Face Liveness Detection Engine on iBeta 2 Certified(3D Face Anti-Spoofing) on Android
TG Bot that swaps faces of multiple images
NIST FRVT Top Ranked Face Recognition, iBeta 2 Certified Liveness Detection (3D Face Passive Anti-Spoofing) Engine!
iBeta (Level 2) Certified, Single-Image Based Face Liveness Detection (Face Anti Spoofing) Server SDK
Upgrade your Android app with MiniAiLive's 3D Passive Face Liveness Detection! With our advanced computer vision techniques, you can now enhance security and accuracy on your Android platform. Check out our latest repository containing a demonstration of 2D & 3D passive face liveness detection capabilities. Try it out today!
Face Recognition Data with Gauze Mask
Occlusion and Multi-pose Face Recognition Dataset
Implementation of CNN (CONVOLUTIONAL NEURAL NETWORK) For Face Mask Detection Using (Python + Keras + Flask + Bootstrap) Web Based
Real Time Face Mask Detection using Tensorflow/Keras | Inference on Image, Video and Webcam on ONNX Runtime Environment
This web app is created to demonstrate the face mask detection model using Convolutional Neural Networks (CNN). The model is trained on a dataset containing images of people with and without masks. The model is built using TensorFlow and Keras libraries in Python.
Deep Learning based Face Mask Detection
A model using machine learning for face mask detection. The system helps to detect the people wearing a mask or not.
Occlusion and Multi-pose Face Recognition Dataset
Final Electronic Engineering project
Created a face mask detection software with Python on TensorFlow, Keras, OpenCV and MobileNet
With the Covid-19 Pandemic, wearing of the face masks have become mandatory across the globe. Thus, an AI application that would enable the aumomatic detection if a person is wearing mask / or not will be benificial in areas such as automatically controlled (unmanned) entry gates at various places. A camers based application could flag-off perso…
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