2728 Open source projects that are alternatives of or similar to Tracking With Darkflow

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow

NVIDIA DeepStream SDK 5.1 configuration for YOLO models

A photo OCR project aims to output DMS messages contained in sign structure images.

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

🚖 Object Detection (YOLOv1) implentation in tensorflow, with training, testing and video features.

Yolo (Real time object detection) model training tutorial with deep learning neural networks

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.

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

yolo(all versions) implementation in keras and tensorflow 2.4

YOLO3 动漫人脸检测 (Based on keras and tensorflow) 2019-1-19

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

Self-hosted NVR with object detection

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

Making custom object detector using Yolo (Java and Python)

TensorFlow implementation of the YOLO (You Only Look Once)

YOLO/YOLOv2 inspired deep network for object detection on satellite images (Tensorflow, Numpy, Pandas).

YOLO9000: Better, Faster, Stronger - Real-Time Object Detection. 9000 classes!

YOLOv2 in PyTorch

A Python wrapper on Darknet. Compatible with YOLO V3.

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

Convert https://pjreddie.com/darknet/yolo/ into pytorch

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.

Label images and video for Computer Vision applications

Annotation tool for YOLO in opencv

C# Yolo Darknet Wrapper (real-time object detection)

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

YOLO ROS: Real-Time Object Detection for ROS

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2

YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (ECCV 2018)

Color tracking with OpenCV

Best Practices, code samples, and documentation for Computer Vision.

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

YOLO: You only look once real-time object detector

PyTorch implementation of the YOLO (You Only Look Once) v2

Plug and Play Real-Time Object Detection App with Tensorflow and OpenCV. No Bugs No Worries. Enjoy!

YOLOv2 algorithm reimplementation with pytorch

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

convert between pytorch, caffe prototxt/weights and darknet cfg/weights

🚘 "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with 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!

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

📖 This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.

YOLO for object detection tasks

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

Detects objects in images/streaming video

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

Go bindings for Darknet (YOLO v4 / v3)

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

Conversion of yolo from DarkNet to Caffe

Robotics Operating System Package for Yolo v3 based on darknet with optimized tracking using Kalman Filter and Optical Flow.

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.

Make custom objects dataset and detect them using darkflow. Darkflow is a tensorflow translation of Darknet.

javascript implementation of "tracker by detections" for realtime multiple object tracking (MOT)

Multiple Object Tracking System in Keras + (Detection Network - YOLO)

Target detection and multi target tracking platform based on Yolo DeepSort and Flask.

Marking up images for use with Darknet.

基于深度学习的驾驶员分心驾驶行为（疲劳+危险行为）预警系统使用YOLOv5+Deepsort实现驾驶员的危险驾驶行为的预警监测

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

C++ wrapper library for Darknet