PyyoloSimple python wrapper for YOLO.
Stars: ✭ 128 (+255.56%)
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.
Stars: ✭ 23 (-36.11%)
darknet rosRobotics Operating System Package for Yolo v3 based on darknet with optimized tracking using Kalman Filter and Optical Flow.
Stars: ✭ 51 (+41.67%)
ConvALPRReconocedor Automatico (real-time) de Patentes utilizando Redes Neuronales Convolucionales
Stars: ✭ 15 (-58.33%)
darknet-visVisualize YOLO feature map in prediction for easily checking your model performance
Stars: ✭ 68 (+88.89%)
ViseronSelf-hosted NVR with object detection
Stars: ✭ 192 (+433.33%)
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
Stars: ✭ 20 (-44.44%)
Ssds.pytorchRepository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3.
Stars: ✭ 570 (+1483.33%)
Yolo segmentationimage (semantic segmentation) instance segmentation by darknet or yolo
Stars: ✭ 143 (+297.22%)
Mapmean Average Precision - This code evaluates the performance of your neural net for object recognition.
Stars: ✭ 2,324 (+6355.56%)
Yolo 9000YOLO9000: Better, Faster, Stronger - Real-Time Object Detection. 9000 classes!
Stars: ✭ 1,057 (+2836.11%)
vehicle-rearVehicle-Rear: A New Dataset to Explore Feature Fusion For Vehicle Identification Using Convolutional Neural Networks
Stars: ✭ 99 (+175%)
Tracking-with-darkflowReal-time people Multitracker using YOLO v2 and deep_sort with tensorflow
Stars: ✭ 522 (+1350%)
ffcnnffcnn is a cnn neural network inference framework, written in 600 lines C language.
Stars: ✭ 50 (+38.89%)
object-trackingMultiple Object Tracking System in Keras + (Detection Network - YOLO)
Stars: ✭ 89 (+147.22%)
DroNetDroNet: Efficient convolutional neural network detector for Real-Time UAV applications
Stars: ✭ 54 (+50%)
Yolo3 4 PyA Python wrapper on Darknet. Compatible with YOLO V3.
Stars: ✭ 504 (+1300%)
Tracking With DarkflowReal-time people Multitracker using YOLO v2 and deep_sort with tensorflow
Stars: ✭ 515 (+1330.56%)
Pytorch Yolo2Convert https://pjreddie.com/darknet/yolo/ into pytorch
Stars: ✭ 941 (+2513.89%)
OpenlabelingLabel images and video for Computer Vision applications
Stars: ✭ 706 (+1861.11%)
Deepstream YoloNVIDIA DeepStream SDK 5.1 configuration for YOLO models
Stars: ✭ 166 (+361.11%)
Yolo person detectperson detect based on yolov3 with several Python scripts
Stars: ✭ 212 (+488.89%)
yolorimplementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
Stars: ✭ 1,867 (+5086.11%)
Easy YoloYolo (Real time object detection) model training tutorial with deep learning neural networks
Stars: ✭ 98 (+172.22%)
deep-license-plate-recognitionAutomatic License Plate Recognition (ALPR) or Automatic Number Plate Recognition (ANPR) software that works with any camera.
Stars: ✭ 309 (+758.33%)
Darknet rosYOLO ROS: Real-Time Object Detection for ROS
Stars: ✭ 1,101 (+2958.33%)
OpenCV-Flask🐛 🐛 Opencv视频流传输到网页浏览器并做目标检测 🐛 🐛
Stars: ✭ 35 (-2.78%)
darknetphp ffi darknet
Stars: ✭ 21 (-41.67%)
Pine🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.
Stars: ✭ 202 (+461.11%)
OpendatacamAn open source tool to quantify the world
Stars: ✭ 1,214 (+3272.22%)
JSON2YOLOConvert JSON annotations into YOLO format.
Stars: ✭ 222 (+516.67%)
darknet.jsA NodeJS wrapper of pjreddie's darknet / yolo.
Stars: ✭ 61 (+69.44%)
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 (+0%)
pnnpnn is Darknet compatible neural nets inference engine implemented in Rust.
Stars: ✭ 17 (-52.78%)
Yolo markGUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2
Stars: ✭ 1,624 (+4411.11%)
go-darknetGo bindings for Darknet (YOLO v4 / v3)
Stars: ✭ 56 (+55.56%)
darknet2caffeConversion of yolo from DarkNet to Caffe
Stars: ✭ 25 (-30.56%)
DarkHelpC++ wrapper library for Darknet
Stars: ✭ 65 (+80.56%)
Mobilenet YoloMobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB🔥🔥🔥
Stars: ✭ 1,566 (+4250%)
Node YoloNode bindings for YOLO/Darknet image recognition library
Stars: ✭ 364 (+911.11%)
Bmw Yolov4 Training AutomationThis repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.
Stars: ✭ 533 (+1380.56%)
Mobilenet YoloA caffe implementation of MobileNet-YOLO detection network
Stars: ✭ 825 (+2191.67%)
DarkMarkMarking up images for use with Darknet.
Stars: ✭ 62 (+72.22%)
Yolov2.pytorchYOLOv2 algorithm reimplementation with pytorch
Stars: ✭ 31 (-13.89%)
HolocronPyTorch implementations of recent Computer Vision tricks
Stars: ✭ 95 (+163.89%)
Darknet2ncnnDarknet2ncnn converts the darknet model to the ncnn model
Stars: ✭ 149 (+313.89%)
Bmw Labeltool LiteThis repository provides you with a easy to use labeling tool for State-of-the-art Deep Learning training purposes.
Stars: ✭ 145 (+302.78%)
Yolo2Train YOLOv2 object detector from scratch using Tensorflow.
Stars: ✭ 136 (+277.78%)
Yolodet Pytorchreproduce the YOLO series of papers in pytorch, including YOLOv4, PP-YOLO, YOLOv5,YOLOv3, etc.
Stars: ✭ 206 (+472.22%)
Caffe Yolov3 WindowsA windows caffe implementation of YOLO detection network
Stars: ✭ 210 (+483.33%)
Tf2 Yolov4A TensorFlow 2.0 implementation of YOLOv4: Optimal Speed and Accuracy of Object Detection
Stars: ✭ 133 (+269.44%)