FacerecognitionThis is an implematation project of face detection and recognition. The face detection using MTCNN algorithm, and recognition using LightenenCNN algorithm.
Stars: ✭ 137 (-90.76%)
Getting Things Done With PytorchJupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
Stars: ✭ 738 (-50.24%)
Sphereface PlusSphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.
Stars: ✭ 151 (-89.82%)
Face ClassificationFace model to classify gender and race. Trained on LFWA+ Dataset.
Stars: ✭ 104 (-92.99%)
Insightface Just WorksInsightface face detection and recognition model that just works out of the box.
Stars: ✭ 127 (-91.44%)
SeqfaceSeqFace : Making full use of sequence information for face recognition
Stars: ✭ 125 (-91.57%)
Deep Face RecognitionOne-shot Learning and deep face recognition notebooks and workshop materials
Stars: ✭ 147 (-90.09%)
OwnphotosSelf hosted alternative to Google Photos
Stars: ✭ 2,587 (+74.44%)
DeepnetsforeoDeep networks for Earth Observation
Stars: ✭ 393 (-73.5%)
Libfaceidlibfaceid 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.
Stars: ✭ 354 (-76.13%)
Curated List Of Awesome 3d Morphable Model Software And DataThe idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.
Stars: ✭ 375 (-74.71%)
Face specific augmFace Renderer to perform Domain (Face) Specific Data Augmentation
Stars: ✭ 398 (-73.16%)
Deep Learning Traffic LightsCode and files of the deep learning model used to win the Nexar Traffic Light Recognition challenge
Stars: ✭ 457 (-69.18%)
Facecropper✂️ Crop faces, inside of your image, with iOS 11 Vision api.
Stars: ✭ 479 (-67.7%)
Php OpencvPHP extensions for OpenCV
Stars: ✭ 524 (-64.67%)
FacerecognitiondotnetThe world's simplest facial recognition api for .NET on Windows, MacOS and Linux
Stars: ✭ 672 (-54.69%)
Caffenet BenchmarkEvaluation of the CNN design choices performance on ImageNet-2012.
Stars: ✭ 700 (-52.8%)
Mtcnn PytorchJoint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
Stars: ✭ 531 (-64.19%)
Face Mask DetectionFace Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
Stars: ✭ 774 (-47.81%)
DeepcameraOpen source face recognition on Raspberry Pi. SharpAI is open source stack for machine learning engineering with private deployment and AutoML for edge computing. DeepCamera is application of SharpAI designed for connecting computer vision model to surveillance camera. Developers can run same code on Raspberry Pi/Android/PC/AWS to boost your AI production development.
Stars: ✭ 757 (-48.95%)
Mtcnn全平台实时人脸检测和姿态估计,提供无需任何框架实现Realtime Face Detection and Head pose estimation on Windows、Ubuntu、Mac、Android and iOS
Stars: ✭ 351 (-76.33%)
Face RecognitionDeep face recognition with Keras, Dlib and OpenCV
Stars: ✭ 342 (-76.94%)
VpgnetVPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)
Stars: ✭ 382 (-74.24%)
OpenposeOpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Stars: ✭ 22,892 (+1443.63%)
DeepfaceDeep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow
Stars: ✭ 409 (-72.42%)
Bottom Up AttentionBottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
Stars: ✭ 989 (-33.31%)
FacerecogFace Recognition using Neural Networks implemented using Keras
Stars: ✭ 39 (-97.37%)
LearningThe data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.
Stars: ✭ 330 (-77.75%)
MobilefaceA face recognition solution on mobile device.
Stars: ✭ 669 (-54.89%)
Tensorflow 101TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow
Stars: ✭ 642 (-56.71%)
Face verification experimentOriginal Caffe Version for LightCNN-9. Highly recommend to use PyTorch Version (https://github.com/AlfredXiangWu/LightCNN)
Stars: ✭ 712 (-51.99%)
Awesome Face😎 face releated algorithm, dataset and paper
Stars: ✭ 739 (-50.17%)
Face recognition🍎 My own face recognition with deep neural networks.
Stars: ✭ 328 (-77.88%)
Teacher Student TrainingThis repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.
Stars: ✭ 34 (-97.71%)
ComprefaceFree and open-source face recognition system from Exadel
Stars: ✭ 947 (-36.14%)
All Classifiers 2019A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.
Stars: ✭ 22 (-98.52%)
Ssd Models把极速检测器的门槛给我打下来make lightweight caffe-ssd great again
Stars: ✭ 62 (-95.82%)
Facenet Face RecognitionThis is the research product of the thesis manifold Learning of Latent Space Vectors in GAN for Image Synthesis. This has an application to the research, name a facial recognition system. The application was developed by consulting the FaceNet model.
Stars: ✭ 54 (-96.36%)
Face ApiJavaScript module for face detection and face recognition Using Tensorflow/JS
Stars: ✭ 67 (-95.48%)
HellovisionVision framework example for my article. https://medium.com/compileswift/swift-world-whats-new-in-ios-11-vision-456ba4156bad
Stars: ✭ 93 (-93.73%)
InsightfaceState-of-the-art 2D and 3D Face Analysis Project
Stars: ✭ 10,886 (+634.05%)
Pyseetapython api for SeetaFaceEngine(https://github.com/seetaface/SeetaFaceEngine.git)
Stars: ✭ 93 (-93.73%)
Ai Reading MaterialsSome of the ML and DL related reading materials, research papers that I've read
Stars: ✭ 79 (-94.67%)
AwslambdafacePerform deep neural network based face detection and recognition in the cloud (via AWS lambda) with zero model configuration or tuning.
Stars: ✭ 98 (-93.39%)
Keras Oneclassanomalydetection[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.
Stars: ✭ 102 (-93.12%)
Facemaskdetection开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.
Stars: ✭ 1,677 (+13.08%)