timelineTimeline - A photo organizer
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PaddledetectionObject Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
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jeelizGlanceTrackerJavaScript/WebGL lib: detect if the user is looking at the screen or not from the webcam video feed. Lightweight and robust to all lighting conditions. Great for play/pause videos if the user is looking or not, or for person detection. Link to live demo.
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MobilefaceA face recognition solution on mobile device.
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ARFaceFilterJavascript/WebGL lightweight face tracking library designed for augmented reality webcam filters. Features : multiple faces detection, rotation, mouth opening. Various integration examples are provided (Three.js, Babylon.js, FaceSwap, Canvas2D, CSS3D...).
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LookatmeVideoView that plays video only when 👀 are open and 👦 is detected with various other features
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TffrcnnFastER RCNN built on tensorflow
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Imagedetect✂️ Detect and crop faces, barcodes and texts in image with iOS 11 Vision api.
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MarvelMarvel - Face Recognition With Android & OpenCV
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OwnphotosSelf hosted alternative to Google Photos
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DeepstackThe World's Leading Cross Platform AI Engine for Edge Devices
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Look4FaceDemo of Face Recognition web service
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Rectlabel SupportRectLabel - An image annotation tool to label images for bounding box object detection and segmentation.
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brfv4 win examplesWindows C++ examples utilizing OpenCV for camera access and drawing the face tracking results.
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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.
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JeelizfacefilterJavascript/WebGL lightweight face tracking library designed for augmented reality webcam filters. Features : multiple faces detection, rotation, mouth opening. Various integration examples are provided (Three.js, Babylon.js, FaceSwap, Canvas2D, CSS3D...).
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Face Recognition.jsSimple Node.js package for robust face detection and face recognition. JavaScript and TypeScript API.
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Face recognition🍎 My own face recognition with deep neural networks.
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Awesome Face😎 face releated algorithm, dataset and paper
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object-trackingMultiple Object Tracking System in Keras + (Detection Network - YOLO)
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face[deprecated] 👽 Face Recognition package for Laravel
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Tensorflow Face DetectionA mobilenet SSD based face detector, powered by tensorflow object detection api, trained by WIDERFACE dataset.
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Pyseetapython api for SeetaFaceEngine(https://github.com/seetaface/SeetaFaceEngine.git)
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AwslambdafacePerform deep neural network based face detection and recognition in the cloud (via AWS lambda) with zero model configuration or tuning.
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HellovisionVision framework example for my article. https://medium.com/compileswift/swift-world-whats-new-in-ios-11-vision-456ba4156bad
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Ssd PytorchSSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity
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Face ClassificationFace model to classify gender and race. Trained on LFWA+ Dataset.
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Face recognitionThe world's simplest facial recognition api for Python and the command line
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DeepfaceFace analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.
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Mobilenet YoloMobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB🔥🔥🔥
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Mapmean Average Precision - This code evaluates the performance of your neural net for object recognition.
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SpherefaceImplementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.
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Face Api.jsJavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js
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FacenetFace recognition using Tensorflow
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MtcnnMTCNN face detection implementation for TensorFlow, as a PIP package.
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Tensorflow Object Detection TutorialThe purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch
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