FacerecognitionThis is an implematation project of face detection and recognition. The face detection using MTCNN algorithm, and recognition using LightenenCNN algorithm.
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Mtcnnface detection and alignment with mtcnn
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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
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Mtcnn caffeSimple implementation of kpzhang93's paper from Matlab to c++, and don't change models.
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Caffe HrtHeterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original Caffe architecture which users deploy their applications seamlessly.
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Jacinto Ai DevkitTraining & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models
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Haddoc2Caffe to VHDL
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Dispnet Flownet DockerDockerfile and runscripts for DispNet and FlowNet1 (estimation of disparity and optical flow)
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FacedetectorA re-implementation of mtcnn. Joint training, tutorial and deployment together.
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Joint Face Detection And AlignmentCaffe and Python implementation of Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
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NetronVisualizer for neural network, deep learning, and machine learning models
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XlearningAI on Hadoop
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Squeezenet v1.2Top-1 Acc=61.0% on ImageNet, without any sacrificing compared with SqueezeNet v1.1.
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Flownet2FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
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Pcn NcnnPCN based on ncnn framework.
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Caffe MobileOptimized (for size and speed) Caffe lib for iOS and Android with out-of-the-box demo APP.
Stars: ✭ 316 (+23.92%)
Hidden Two StreamCaffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"
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Flownet2 DockerDockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)
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Liteflownet2A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization, TPAMI 2020
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iqiyi-vid-challengeCode for IQIYI-VID(IQIYI Video Person Identification) Challenge Implemented in Python and MXNet
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CnnforandroidThe Convolutional Neural Network(CNN) for Android
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FaceI have published my face related codes in this repository
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Ssd Models把极速检测器的门槛给我打下来make lightweight caffe-ssd great again
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SpherefaceImplementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.
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Ncnnncnn is a high-performance neural network inference framework optimized for the mobile platform
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PCN-WindowsNo description or website provided.
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mtcnn-pytorchpytorch implementation of face detection algorithm MTCNN
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Cnn face detectionImplementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR
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Mxnet2caffeconvert model from mxnet to caffe without lossing precision
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Deeplearning深度学习入门教程, 优秀文章, Deep Learning Tutorial
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LiteflownetLiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)
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Mxnet IrImage Retrieval Experiment Using Triplet Loss
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DeepfaceDeep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow
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Cnn Paper2🎨 🎨 深度学习 卷积神经网络教程 :图像识别,目标检测,语义分割,实例分割,人脸识别,神经风格转换,GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/
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Mobilenet V2 CaffeMobileNet-v2 experimental network description for caffe
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Machine Learning Curriculum💻 Make machines learn so that you don't have to struggle to program them; The ultimate list
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NoisefaceNoise-Tolerant Paradigm for Training Face Recognition CNNs
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LibfacedetectionAn open source library for face detection in images. The face detection speed can reach 1000FPS.
Stars: ✭ 10,852 (+4155.69%)
DeepgazeComputer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.
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XLearning-GPUqihoo360 xlearning with GPU support; AI on Hadoop
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FaceIDLightA lightweight face-recognition toolbox and pipeline based on tensorflow-lite
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mxnet-SSHReproduce SSH (Single Stage Headless Face Detector) with MXNet
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Mobilenet YoloMobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB🔥🔥🔥
Stars: ✭ 1,566 (+514.12%)
DLInfBenchCNN model inference benchmarks for some popular deep learning frameworks
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enhanced-ssh-mxnetThe MXNet Implementation of Enhanced SSH (ESSH) for Face Detection and Alignment
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MmdnnMMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
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DeepoSetup and customize deep learning environment in seconds.
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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 (-60%)
FaceRecognitionCppLarge input size REAL-TIME Face Detector on Cpp. It can also support face verification using MobileFaceNet+Arcface with real-time inference. 480P Over 30FPS on CPU
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facial-landmarksFacial landmarks detection with OpenCV, Dlib, DNN
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