3001 Open source projects that are alternatives of or similar to Yolo Tf2

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

Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)

A PyTorch implementation of the YOLO v3 object detection algorithm

People detection and optional tracking with Tensorflow backend.

Annotation tool for YOLO in opencv

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

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

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

Yolov3 Object Detection implemented as APIs, using TensorFlow and Flask

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

This is a repository for an nocode object detection inference API using the Yolov4 and Yolov3 Opencv.

reproduce the YOLO series of papers in pytorch, including YOLOv4, PP-YOLO, YOLOv5，YOLOv3, etc.

This repository provides you with a easy to use labeling tool for State-of-the-art Deep Learning training purposes.

🙄 Difficult algorithm, Simple code.

High level network definitions with pre-trained weights in TensorFlow

YOLO for object detection tasks

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

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

NVIDIA DeepStream SDK 5.1 configuration for YOLO models

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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

Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"

Color tracking with OpenCV

Full implementation of YOLOv3 in 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.

I transfer the backend of yolov3 into Mobilenetv1，VGG16，ResNet101 and ResNeXt101

A Python wrapper on Darknet. Compatible with YOLO V3.

🚀 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!

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

📖 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.

Train a state-of-the-art yolov3 object detector from scratch!

This project aims to count every vehicle (motorcycle, bus, car, cycle, truck, train) detected in the input video using YOLOv3 object-detection algorithm.

YoloV3 Implemented in Tensorflow 2.0

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

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

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.

Data Augmentation using NumPy

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

Screen{shot,cast} and perform ImageOps on the command line 🌱 🏞️

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

Pytorch implementation of YOLOX、PPYOLO、PPYOLOv2、FCOS an so on.

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

Object Detection API Tensorflow

YOLO Object detection with OpenCV and Python.

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

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

convert mmdetection model to tensorrt, support fp16, int8, batch input, dynamic shape etc.

This is a repository for an object detection inference API using the Tensorflow framework.

Implement YOLOv3 with TensorFlow

YOLO ModelCompression MultidatasetTraining

YOLO for object detection tasks

High-performance multiple object tracking based on YOLO, Deep SORT, and optical flow

YOLOv3 implementation in TensorFlow 2.3.1

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

Finger Detection and Tracking using OpenCV and Python

🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"

Go bindings for Darknet (YOLO v4 / v3)

Data Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ

Machine Learning Environment - alpha version