Realtime DetectronReal-time Detectron using webcam.
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Mutual labels: real-time, webcam
DFL-ColabDeepFaceLab fork which provides IPython Notebook to use DFL with Google Colab
Stars: ✭ 742 (-90.63%)
Mutual labels: faceswap, deepfake
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...).
Stars: ✭ 72 (-99.09%)
Mutual labels: faceswap, webcam
rt-mrcnnReal time instance segmentation with Mask R-CNN, live from webcam feed.
Stars: ✭ 47 (-99.41%)
Mutual labels: real-time, webcam
jeelizPupillometryReal-time pupillometry in the web browser using a 4K webcam video feed processed by this WebGL/Javascript library. 2 demo experiments are included.
Stars: ✭ 78 (-99.01%)
Mutual labels: real-time, webcam
VideoRecognition-realtime-autotrainer-alertsState of the art object detection in real-time using YOLOV3 algorithm. Augmented with a process that allows easy training of the classifier as a plug & play solution . Provides alert if an item in an alert list is detected.
Stars: ✭ 36 (-99.55%)
Mutual labels: real-time, webcam
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.
Stars: ✭ 68 (-99.14%)
Mutual labels: real-time, webcam
JeelizwebojiJavaScript/WebGL real-time face tracking and expression detection library. Build your own emoticons animated in real time in the browser! SVG and THREE.js integration demos are provided.
Stars: ✭ 835 (-89.45%)
Mutual labels: real-time, webcam
MocapnetWe present MocapNET2, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance (70 fps in CPU-only execution).
Stars: ✭ 194 (-97.55%)
Mutual labels: real-time, webcam
Fake-StreamAllows infinite streaming of a video as webcam output for different applications like Zoom, Skype etc.
Stars: ✭ 15 (-99.81%)
Mutual labels: webcam
witnessAn API controllable webcam project
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Mutual labels: webcam
PlotoptixData visualisation in Python based on OptiX 7.2 ray tracing framework.
Stars: ✭ 252 (-96.82%)
Mutual labels: real-time
sparkar-pixelate-shadersimple script-only pixelate shader with Facebook SparkAR.
Stars: ✭ 35 (-99.56%)
Mutual labels: webcam
WebCamCapMotion capture tool for 2D/3D motion capture with LED markers.
Stars: ✭ 20 (-99.75%)
Mutual labels: webcam
FaceSwap-AndroidMy android FaceSwap app.
Stars: ✭ 61 (-99.23%)
Mutual labels: faceswap
EasyRTCEasyRTC视频会议系统一款强大的实时音视频通话产品，支持语音会议、视频会议、会议录像、会议回放、旁路直播、会议管理控制、文档共享、视频共享等功能，是一款广泛应用于在线教育、互动课堂、视频会议、应急指挥的即时通信平台。
Stars: ✭ 145 (-98.17%)
Mutual labels: videocall
AresdbA GPU-powered real-time analytics storage and query engine.
Stars: ✭ 2,814 (-64.46%)
Mutual labels: real-time
Rtm3dThe official PyTorch Implementation of RTM3D and KM3D for Monocular 3D Object Detection
Stars: ✭ 244 (-96.92%)
Mutual labels: real-time
FaceLivenessDetection-SDK3D Passive Face Liveness Detection (Anti-Spoofing) & Deepfake detection. A single image is needed to compute liveness score. 99,67% accuracy on our dataset and perfect scores on multiple public datasets (NUAA, CASIA FASD, MSU...).
Stars: ✭ 85 (-98.93%)
Mutual labels: deepfake
