vuminhduc97,Mystic-5,github

face-recognition-cpp-tensorrt

Face Recognition with RetinaFace and ArcFace.

face-recognition-deepstream

This is a face recognition app built on DeepStream reference app.

face.evolve.pytorch

🔥🔥High-Performance Face Recognition Library on PyTorch🔥🔥

facenet-pytorch

Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models

A PyTorch implementation of the 'FaceNet' paper for training a facial recognition model with Triplet Loss using the glint360k dataset. A pre-trained model using Triplet Loss is available for download.

fairmot

A simple baseline for one-shot multi-object tracking

fall-detection

fruit-detector

Implementation of TensorFlow Object Detection API on fruit images.

fruit-images-dataset

Fruits-360: A dataset of images containing fruits and vegetables

fullstack-ai-chatbot

Build a Fullstack AI Chatbot with Redis, React, FastAPI and GPT

hands-on-design-patterns-with-cpp

Hands-On Design Patterns with C++, published by Packt

hands-on-gpu-programming-with-python-and-cuda

Hands-On GPU Programming with Python and CUDA, published by Packt

human-dectection-primesense-camera

This project facilitates the human detection and extraction tasks from videos collected by PrimeSense cameras with the supports of OpenGL, OpenNI, OpenCV. The deep informations, gathered from projecting the infrared rays of the cameras, are the useful features to detect and extract the human-being. The interesting points in this projects are to focus only on the person who has the nearest distance to the camera and extract her/him out of the background and to have the capacity of processing pararelly two videos. The people extracted from two videos are grouped together into a common screen. The purpose of this project is to simulate the online conference where the people from over the world can connect together with their PrimeSense camera.