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digiKam - Advanced Digital Photo Management
digiKam is an advanced digital photo management application for KDE, which makes importing and organizing digital photos a snap. The photos can be organized in albums which can be sorted chronologically, by directory layout or by custom collections. It provides support to add tag, comment to your images.
photo-management photo images image-editor image-processing photo-editor face-detectionfacenet - Face recognition using Tensorflow
This is a TensorFlow implementation of the face recognizer described in the paper "FaceNet: A Unified Embedding for Face Recognition and Clustering". The project also uses ideas from the paper "Deep Face Recognition" from the Visual Geometry Group at Oxford. The code is tested using Tensorflow r1.7 under Ubuntu 14.04 with Python 2.7 and Python 3.5. The test cases can be found here and the results can be found here.
face-recognition tensorflow facenet deep-learning computer-vision face-detection mtcnn neural-networksopenface - Face recognition with deep neural networks.
Free and open source face recognition with deep neural networks. This research was supported by the National Science Foundation (NSF) under grant number CNS-1518865. Additional support was provided by the Intel Corporation, Google, Vodafone, NVIDIA, and the Conklin Kistler family fund. Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and should not be attributed to their employers or funding sources.
deep-learning face-recognition facenet face-detection neural-networksDeepVideoAnalytics - A distributed visual search and visual data analytics platform.
Deep Video Analytics is a platform for indexing and extracting information from videos and images. With latest version of docker installed correctly, you can run Deep Video Analytics in minutes locally (even without a GPU) using a single command. Deep Video Analytics implements a client-server architecture pattern, where clients can access state of the server via a REST API. For uploading, processing data, training models, performing queries, i.e. mutating the state clients can send DVAPQL (Deep Video Analytics Processing and Query Language) formatted as JSON. The query represents a directed acyclic graph of operations.
deep-learning nvidia-docker face-recognition face-detection image-retrieval visual-search video-analytics cbir deep-video-analyticscaire - Content aware image resize library
Caire is a content aware image resize library based on Seam Carving for Content-Aware Image Resizing paper. The library is capable detecting human faces prior resizing the images via https://github.com/esimov/pigo, which does not require to have OpenCV installed.
seam-carving image-processing image-resize sobel edge-detection opencv face-detection image-cropper smartcropsphereface - Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17
SphereFace is released under the MIT License (refer to the LICENSE file for details). 2018.8.14: We recommand an interesting ECCV 2018 paper that comprehensively evaluates SphereFace (A-Softmax) on current widely used face datasets and their proposed noise-controlled IMDb-Face dataset. Interested users can try to train SphereFace on their IMDb-Face dataset. Take a look here.
face-recognition caffe sphereface cvpr-2017 face-detection angular-softmax deep-learningtiny - Tiny Face Detector, CVPR 2017
By Peiyun Hu and Deva Ramanan at Carnegie Mellon University. Tiny Face Detector was initially described in an arXiv tech report.
face-detector face-detection scale-invariance detection detectorface_recognition - The world's simplest facial recognition api for Python and the command line
Recognize and manipulate faces from Python or from the command line with the world's simplest face recognition library. Built using dlib's state-of-the-art face recognition built with deep learning. The model has an accuracy of 99.38% on the Labeled Faces in the Wild benchmark.
machine-learning face-detection face-recognitionface-api
JavaScript API for face detection and face recognition in the browser with tensorflow.js
face-recognition face js tensorflow tfjs neural-network resnet-34 convolutional-neural-networks face-detection face-similarity ssd-mobilenet face-landmarks mtcnn yolov2 tiny-yolo detection recognition tfface-recognition
Simple Node.js API for robust face detection and face recognition. This a Node.js wrapper library for the face detection and face recognition tools implemented in dlib. Installing the package will build dlib for you and download the models. Note, this might take some time.
face-detection face-recognition face nodejs node face-landmark typescript detection recognitionopencv4nodejs - Asynchronous OpenCV 3
By its nature, JavaScript lacks the performance to implement Computer Vision tasks efficiently. Therefore this package brings the performance of the native OpenCV library to your Node.js application. This project targets OpenCV 3 and provides an asynchronous as well as an synchronous API. The ultimate goal of this project is to provide a comprehensive collection of Node.js bindings to the API of OpenCV and the OpenCV-contrib modules. An overview of available bindings can be found in the API Documentation. Furthermore, contribution is highly appreciated. If you want to get involved you can have a look at the contribution guide.
nodejs opencv face-detection async node cv typescript computer-vision face detection recognition machine learning neural networkreact-native-camera - A Camera component for React Native. Also supports barcode scanning!
The comprehensive camera module for React Native. Inside your package.json, use this "react-native-camera": "git+https://git@github.com/react-native-community/react-native-camera" instead of "react-native-camera": "^1.0.0".
react-native face-detection rncamera camera barcode code native qr reactdeepgaze - Computer Vision library for human-computer interaction
Update 04/06/2017 Article "Head pose estimation in the wild using Convolutional Neural Networks and adaptive gradient methods" have been accepted for publication in Pattern Recogntion (Elsevier). The Deepgaze CNN head pose estimator module is based on this work. Update 22/03/2017 Fixed a bug in mask_analysis.py and almost completed a more robust version of the CNN head pose estimator.
convolutional-neural-networks motion-tracking color-detection face-detection skin-detection motion-detection head-pose-estimation human-computer-interaction histogram-comparison histogram-intersection cnn particle-filter saliency-mapdaily-paper-computer-vision - 记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
paper deep-learning computer-vision machine-learning face-detection object-detectionFaceDetector - Face detection for your Android app
Want to detect human faces on a camera preview stream in real time? Well, you came to the right place. To display detected faces on top of the camera view, set up your layout as following.
android camera face-detectionsod - An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)
SOD is an embedded, modern cross-platform computer vision and machine learning software library that expose a set of APIs for deep-learning, advanced media analysis & processing including real-time, multi-class object detection and model training on embedded systems with limited computational resource and IoT devices. SOD was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in open source as well commercial products.
computer-vision library deep-learning image-processing object-detection cpu real-time convolutional-neural-networks recurrent-neural-networks face-detection facial-landmarks machine-learning-algorithms image-recognition image-analysis vision-framework embedded detection iot-device iotlibfacedetection - An open source library for face detection in images
This is an open source library for CNN-based face detection in images. The CNN model has been converted to static variables in C source files. The source code does not depend on any other libraries. What you need is just a C++ compiler. You can compile the source code under Windows, Linux, ARM and any platform with a C++ compiler. SIMD instructions are used to speed up the detection. You can enable AVX2 if you use Intel CPU or NEON for ARM.
face-detection cnn armmlkit - A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS
A collection of quickstart samples demonstrating the ML Kit APIs on Android and iOS. Note: due to how this repo works, we no longer accept pull requests directly. Instead, we'll patch them internally and then sync them out.
google translation barcode text-recognition face-detection object-detection barcode-scanner mlkit language-identification image-labeling ml-kit smart-reply mlkit-androidjeelizFaceFilter - Javascript/WebGL lightweight face tracking library designed for augmented reality webcam filters
This JavaScript library detects and tracks the face in real time from the webcam video feed captured with WebRTC. Then it is possible to overlay 3D content for augmented reality applications. We provide various demonstrations using main WebGL 3D engines. We have included in this repository the release versions of the 3D engines to work with a determined version (they are in /libs/<name of the engine>/). This library is lightweight and it does not include any 3D engine or third party library. We want to keep it framework agnostic so the outputs of the library are raw: if the a face is detected or not, the position and the scale of the detected face and the rotation Euler angles. But thanks to the featured helpers, examples and boilerplates, you can quickly deal with a higher level context (for motion head tracking, for face filter or face replacement...). We continuously add new demontrations, so stay tuned ! Also, feel free to open an issue if you have any question or suggestion.
face tracking detection snapchat 3d webgl deep-learning face-detection face-tracking threejs babylonjs webcam faceswap library picojs augmented-reality face-filters trackingjs msqrdPigo - Go implementation of Pico face detection library (Pico)
Pigo is a pure Go face detection library based on Pixel Intensity Comparison-based Object detection paper. The only existing solution for face detection in the Go ecosystem is using bindings to OpenCV, but installing OpenCV on various platforms is sometimes daunting. This library does not require any third party modules to be installed. However in case you wish to try the real time, webcam based face detection you might need to have Python2 and OpenCV installed, but the core API does not require any third party module or external dependency.
face detection decision trees face-detection eyes facial-landmark
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