ffcnnffcnn is a cnn neural network inference framework, written in 600 lines C language.
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vrpdrDeep Learning Applied To Vehicle Registration Plate Detection and Recognition in PyTorch.
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Smart-Park-with-YOLO-V3Maintaining empty parking spot count using YOLO real-time vehicle detection. Code readily runnable in google colab.
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object detectionImplementatoin of object detection using Tensorflow 2.1.0 | this can be use in a car for object detection
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Deep-Learning-with-GoogleColabDeep Learning Applications (Darknet - YOLOv3, YOLOv4 | DeOldify - Image Colorization, Video Colorization | Face-Recognition) with Google Colaboratory - on the free Tesla K80/Tesla T4/Tesla P100 GPU - using Keras, Tensorflow and PyTorch.
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Caffe2-yolo-v3A Caffe2 implementation of the YOLO v3 object detection algorithm
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drone-nethttps://towardsdatascience.com/tutorial-build-an-object-detection-system-using-yolo-9a930513643a
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object-trackingMultiple Object Tracking System in Keras + (Detection Network - YOLO)
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ScaledYOLOv4Scaled-YOLOv4: Scaling Cross Stage Partial Network
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OpenJijOpenJij : Framework for the Ising model and QUBO.
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yolov3-iosUsing yolo v3 object detection on ios platform.
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CullNetCode implementation of our paper "CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation"
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YOLOA pytorch implementation of YOLOv1-v3
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Accident-avoidance-deepsortyoloFCRNAn accident avoidance program that raises alert when nearby vehicles are moving at a relative speed faster than a threshold value, additionally it logs some data onto NEM-Mijin blockchain network
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yolov3-pytorchannotation and specification for yolov3
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Datasets2DarknetModular tool that extracts images and labels from multiple datasets and parses them to Darknet format.
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udacity-cvnd-projectsMy solutions to the projects assigned for the Udacity Computer Vision Nanodegree
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imsearchFramework to build your own reverse image search engine
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YOLO-V3-TensorFlowThe reimplementation of YOLO-V3 in TensorFlow.(comming soon)
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copilotLane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision
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Pruned-OpenVINO-YOLODeploy the pruned YOLOv3/v4/v4-tiny/v4-tiny-3l model on OpenVINO embedded devices
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Unity Detection2ARLocalize 2D image object detection in 3D Scene with Yolo in Unity Barracuda and ARFoundation.
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esmLightweight communicating state machine framework for embedded systems
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simpleAICV-pytorch-ImageNet-COCO-trainingSimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.
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OpenCvSharpDNNImplementation of YoloV3 and Caffe in OpenCvSharp
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Simple-TensorA simplification of Tensorflow Tensor Operations
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yolo3 tensorflowyolo3 implement by tensorflow, including mobilenet_v1, mobilenet_v2
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JSON2YOLOConvert JSON annotations into YOLO format.
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odamODAM - Object detection and Monitoring
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tf2-yolo3object detection using yolo3 with tensorflow-2.x
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miemiedetectionPytorch implementation of YOLOX、PPYOLO、PPYOLOv2、FCOS an so on.
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WebsiteYOLOThe back-end for the YOLOv3 object detector running as a webapp
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yolov4 trt rosYOLOv4 object detector using TensorRT engine
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h5 to weight yolo3convert keras (tensorflow backend) yolov3 h5 model file to darknet yolov3 weights
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tfjs-yoloYOLO v3 and Tiny YOLO v1, v2, v3 with Tensorflow.js
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YOLOv3-CoreMLYOLOv3 for iOS implemented using CoreML.
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cpp-utilitiesCommon C++ classes and routines used by my applications such as argument parser, IO and conversion utilities
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YOLOXYOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
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facetouchNeural Network to predict face touch on live feed and warn you, "don't touch the face".
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yolo-deepsort-flaskTarget detection and multi target tracking platform based on Yolo DeepSort and Flask.
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go-darknetGo bindings for Darknet (YOLO v4 / v3)
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live-cctvTo detect any reasonable change in a live cctv to avoid large storage of data. Once, we notice a change, our goal would be track that object or person causing it. We would be using Computer vision concepts. Our major focus will be on Deep Learning and will try to add as many features in the process.
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lightDenseYOLOA real-time object detection app based on lightDenseYOLO Our lightDenseYOLO is the combination of two components: lightDenseNet as the CNN feature extractor and YOLO v2 as the detection module
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