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.
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Augmented reality💎 "Marker-less Augmented Reality" with OpenCV and OpenGL.
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PoseflowPoseFlow: Efficient Online Pose Tracking (BMVC'18)
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Head Pose EstimationReal-time head pose estimation built with OpenCV and dlib
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HandposeA python program to detect and classify hand pose using deep learning techniques
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OpenposeOpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
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Aruco trackerAruco Markers for pose estimation
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OmrcheckerGrade exams fast and accurately using a scanner 🖨 or your phone 🤳.
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OpensfmOpen source Structure-from-Motion pipeline
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Densereg3D hand pose estimation via dense regression
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A2jCode for paper "A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image". ICCV2019
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Php Opencvphp wrapper for opencv
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GerbolyzeRender high-resolution bitmap images to PCB gerber files
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Opticalflow visualizationPython optical flow visualization following Baker et al. (ICCV 2007) as used by the MPI-Sintel challenge
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NeuvisionStructured Light based 3D scanner
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Node Digital WatermarkingA digital watermark is a kind of marker covertly embedded in a noise-tolerant signal such as an audio, video or image data. It is typically used to identify ownership of the copyright of such signal. "Watermarking" is the process of hiding digital information in a carrier signal; the hidden information should, but does not need to, contain a relation to the carrier signal. Digital watermarks may be used to verify the authenticity or integrity of the carrier signal or to show the identity of its owners. It is prominently used for tracing copyright infringements and for banknote authentication.
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Repo 2018Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core
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Stereo VisionThis program has been developed as part of a project at the University of Karlsruhe in Germany. The final purpose of the algorithm is to measure the distance to an object by combining two webcams and use them as a Stereo Camera.
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Pose2poseThis is a pix2pix demo that learns from pose and translates this into a human. A webcam-enabled application is also provided that translates your pose to the trained pose. Everybody dance now !
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AstralAugmented reality social network, an underworld of discussion and information to every street.
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Invisibility cloakThis is a fun application of image processing which enables you to experience the magic of an invisibility cloak. Let's make our childhood fantasy of using an invisibility cloak come true.
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PerfectshowAndroid virtual makeup app, apply cosmetics on human face.
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Live Video MagnificationAn OpenCV/Qt based realtime application for Eulerian Video Magnification / Motion Magnification. Works with multiple videos and cameras at the same time and let's you export the magnified videos.
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DeeplabcutOfficial implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
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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).
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OchumanapiAPI for the dataset proposed in "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.
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Opencv CourseLearn OpenCV in 4 Hours - Code used in my Python and OpenCV course on freeCodeCamp.
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FacerecognitionWebcam face recognition using tensorflow and opencv
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AmassData preparation and loader for AMASS
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OcrtableRecognize tables and text from scanned images that contain tables. 从包含表格的扫描图片中识别表格和文字
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Person Detection And TrackingA tensorflow implementation with SSD model for person detection and Kalman Filtering combined for tracking
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HopeSource code of CVPR 2020 paper, "HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation"
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Lili OmLiLi-OM is a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs.
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Pytorch CppPyTorch C++ inference with LibTorch
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Mathai一个拍照做题程序。输入一张包含数学计算题的图片,输出识别出的数学计算式以及计算结果。This is a mathematic expression recognition project.
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WebcameraCamera controls for the Web
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Blurdetection2Blur Detection with OpenCV in Python
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AcurustrackA multi-object tracking component. Works in the conditions where identification and classical object trackers don't (e.g. shaky/unstable camera footage, occlusions, motion blur, covered faces, etc.). Works on any object despite their nature.
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Proctoring AiCreating a software for automatic monitoring in online proctoring
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Bmw Yolov4 Inference Api CpuThis is a repository for an nocode object detection inference API using the Yolov4 and Yolov3 Opencv.
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CvdroneCV Drone (= OpenCV + AR.Drone)
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Opencv PythonAutomated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.
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Smartopencv🔥 🔥 🔥 SmartOpenCV是一个OpenCV在Android端的增强库,解决了OpenCV Android SDK在图像预览方面存在的诸多问题,且无需修改OpenCV SDK源码,与OpenCV的SDK解耦
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DeepmatchvoImplementation of ICRA 2019 paper: Beyond Photometric Loss for Self-Supervised Ego-Motion Estimation
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