Mtcnnface detection and alignment with mtcnn
Stars: ✭ 66 (+65%)
Caffe2 IosCaffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.
Stars: ✭ 221 (+452.5%)
Php Opencvphp wrapper for opencv
Stars: ✭ 194 (+385%)
Videoauidt📹 一个短视频APP视频内容安全审核的思路调研及实现汇总
Stars: ✭ 129 (+222.5%)
Mobilenet Ssd Realsense[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering
Stars: ✭ 322 (+705%)
OpenposeOpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Stars: ✭ 22,892 (+57130%)
Mobilenet SsdMobileNet-SSD(MobileNetSSD) + Neural Compute Stick(NCS) Faster than YoloV2 + Explosion speed by RaspberryPi · Multiple moving object detection with high accuracy.
Stars: ✭ 84 (+110%)
Php Opencv ExamplesTutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)
Stars: ✭ 333 (+732.5%)
GocvGo package for computer vision using OpenCV 4 and beyond.
Stars: ✭ 4,511 (+11177.5%)
Fourier DescriptorsOpenCV project for my image processing course, horribly bad work.
Stars: ✭ 28 (-30%)
FacetrackerReal time deformable face tracking in C++ with OpenCV 3.
Stars: ✭ 944 (+2260%)
Unreal caffeSelf Maintained Caffe. In this version Faster-RCNN, RFCN needs layer are fully supported!
Stars: ✭ 38 (-5%)
Object Detection And Location Realsensed435Use the Intel D435 real-sensing camera to realize target detection based on the Yolov3 framework under the Opencv DNN framework, and realize the 3D positioning of the Objection according to the depth information. Real-time display of the coordinates in the camera coordinate system.ADD--Using Yolov5 By TensorRT model,AGX-Xavier,RealTime Object Detection
Stars: ✭ 36 (-10%)
Facerecognition2Mediante el uso de un script con OpenCV aprenderemos las caras que nos interesen y con otro script arrancaremos la función de reconocimiento. Control de acceso al laboratorio con reconocimiento facial.
Stars: ✭ 20 (-50%)
Docker OpencvOpenCV image for Docker based on Ubuntu.
Stars: ✭ 14 (-65%)
Matcaffe2caffeConvert a matcaffe model (column major) to a pycaffe or c++ caffe (row major) model
Stars: ✭ 14 (-65%)
FacerecogFace Recognition using Neural Networks implemented using Keras
Stars: ✭ 39 (-2.5%)
Pyimagevideowrite animated GIF, multipage append TIFF, AVI OGV video in Python
Stars: ✭ 36 (-10%)
Teacher Student TrainingThis repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.
Stars: ✭ 34 (-15%)
Surf Opencv InclinationIndentify an object by SURF algorithm using OpenCV and calculate the rotatinal angle of the object
Stars: ✭ 12 (-70%)
Tensorflow object counting api🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!
Stars: ✭ 956 (+2290%)
Snapchat Filter3 facial filters on a webcam feed using OpenCV & ML - face swap, glasses and moustache
Stars: ✭ 35 (-12.5%)
Deepnude nowatermark withmodelDeepNude source code,without watermark,with demo and model download link,one command to run offline,GAN/Pytorch/pix2pix/pic2pic
Stars: ✭ 950 (+2275%)
Ng Open CvAngular 6+ & OpenCV.js integration service library
Stars: ✭ 36 (-10%)
My Very Deep CaffeThis is an implementation of very deep two stream CNNs for action recognition. The implementation is inspired by Wang et. al., https://github.com/yjxiong/caffe. Some improvements from Wang's implementation include reading videos from LDMB database, faster testing using LDMB interface. The aim is to work better with big dataset such as UCF101, HMDB51, Sports1M and ActivityNet easily.
Stars: ✭ 21 (-47.5%)
HololensarucounityMarker tracking on HoloLens built on Aruco, OpenCV and Unity
Stars: ✭ 39 (-2.5%)
Mxnet2caffeconvert model from mxnet to caffe without lossing precision
Stars: ✭ 20 (-50%)
Fast face detectorA face detector based on the work "Aggregate channel features for multi-view face detection" presented by Bin Yang, Junjie Yan, Zhen Lei and Stan Z. Li.
Stars: ✭ 35 (-12.5%)
Anonymize VideoReplace faces in a video with imaginary persons generated by a progressive GAN deep neural network
Stars: ✭ 15 (-62.5%)
Bottom Up AttentionBottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
Stars: ✭ 989 (+2372.5%)
Imshow Java Opencvan alternative to imshow() in C++ OpenCV for Java OpenCV
Stars: ✭ 34 (-15%)
YuvtomatHigh-performance library for converting YUV_420_888 Android Camera images to OpenCV RGB Mats
Stars: ✭ 40 (+0%)
Traffic Light DetectorDetect traffic lights and classify the state of them, then give the commands "go" or "stop".
Stars: ✭ 37 (-7.5%)
Opencv Disparity Map TunerA simple Qt GUI application to tune OpenCV StereoCorrespondenceBM parameters and see live updates
Stars: ✭ 31 (-22.5%)
Hadoop PotA scalable Apache Hadoop-based implementation of the Pooled Time Series video similarity algorithm based on M. Ryoo et al paper CVPR 2015.
Stars: ✭ 8 (-80%)
Facerec LockFace recognition to control servo lock using Raspberry Pi and OpenCV
Stars: ✭ 7 (-82.5%)
Video To AsciiIt is a simple python package to play videos in the terminal using characters as pixels
Stars: ✭ 960 (+2300%)
Flownet2FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Stars: ✭ 938 (+2245%)
CamodetLightweight Simple CAmera MOtion DETection application.
Stars: ✭ 26 (-35%)
Computer VisionComputer vision sabbatical study materials
Stars: ✭ 39 (-2.5%)
Face Mask DetectionFace masks are crucial in minimizing the propagation of Covid-19, and are highly recommended or even obligatory in many situations. In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.
Stars: ✭ 37 (-7.5%)
Graph Based Image SegmentationImplementation of efficient graph-based image segmentation as proposed by Felzenswalb and Huttenlocher [1] that can be used to generate oversegmentations.
Stars: ✭ 31 (-22.5%)
Nideepcollection of utilities to use with deep learning libraries (e.g. caffe)
Stars: ✭ 25 (-37.5%)
JpegrtspcameraSample RTSP server streaming MJPEG video from PC camera
Stars: ✭ 25 (-37.5%)