1293 Open source projects that are alternatives of or similar to object-tracking

php ffi darknet

A 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

Go bindings for Darknet (YOLO v4 / v3)

YOLOv3 implementation in TensorFlow 2.3.1

🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.

This 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.

Optical character recognition Using Deep Learning

To 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.

combine state of art deep neural network based detectors with most efficient trackers to solve motion based multiple objects tracking problems

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2 https://github.com/AlexeyAB/darknet, https://github.com/pjreddie/darknet

Training examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+VOC2012 datasets.Image Classification/Object Detection.Include ResNet/EfficientNet/VovNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLOv3.

Implementatoin of object detection using Tensorflow 2.1.0 | this can be use in a car for object detection

A caffe implementation of MobileNet-YOLO detection network

A collaborative tool for labeling image data for yolo

YOLO v3 and Tiny YOLO v1, v2, v3 with Tensorflow.js

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB🔥🔥🔥

A Python wrapper on Darknet. Compatible with YOLO V3.

ffcnn is a cnn neural network inference framework, written in 600 lines C language.

Convert JSON annotations into YOLO format.

Annotation tool for YOLO in opencv

High level network definitions with pre-trained weights in TensorFlow

person detect based on yolov3 with several Python scripts

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

🍅 Deploy NCNN on mobile phones. Support Android and iOS. 移动端NCNN部署，支持Android与iOS。

FastER RCNN built on tensorflow

Compare FasterRCNN,Yolo,SSD model with the same dataset

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

State 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.

YOLOv2 in PyTorch

Face detection using deep learning.

ODAM - Object detection and Monitoring

Darknet with NNPACK

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

OpenCV based DNN Object Detection Library for Openframeworks

pytorch based implementation faster rcnn

License plate parsing using Darknet and YOLO

📈📈📈【口罩佩戴检测数据训练 | 开源口罩检测数据集和预训练模型】Train D/CIoU_YOLO_V3 by darknet for object detection

🐛 🐛 Opencv视频流传输到网页浏览器并做目标检测 🐛 🐛

Visualize YOLO feature map in prediction for easily checking your model performance

faster rcnn c++ version. joint train; please checkout into dev branch (git checkout dev)

Vehicle-Rear: A New Dataset to Explore Feature Fusion For Vehicle Identification Using Convolutional Neural Networks

A pytorch Implementation of classical object detection.

A Fast and Open Source Autonomous Perception System.

Modular tool that extracts images and labels from multiple datasets and parses them to Darknet format.

Autonomous driving - car detection using the very powerful YOLO model

Deep 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.

Object Detection API Tensorflow

Abnormal behavior detection in the video surveillance based on yolo darknet

This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.

DroNet: Efficient convolutional neural network detector for Real-Time UAV applications

A pytorch implementation of YOLOv1-v3

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

Faster-RCNN in Tensorflow

Pendeteksian rambu lalu lintas khas Indonesia menggunakan dataset custom dan menggunakan algoritma Deep Learning You Only Look Once v4

Regional-Convolution Neural Network for blink detection based on contouring.

Vanilla LSTM with numpy

CCFDF rebar detection

Classification of Urban Sound Audio Dataset using LSTM-based model.

A NodeJS wrapper of pjreddie's darknet / yolo.

2021年计算机视觉技术综述分类汇总