347 Open source projects that are alternatives of or similar to miemiedetection

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

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

using yolox+deepsort for object-tracking

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.

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

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

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

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

High level network definitions with pre-trained weights in TensorFlow

Yolov3 Object Detection implemented as APIs, using TensorFlow and Flask

A PyTorch implementation of the YOLO v3 object detection algorithm

YOLO for object detection tasks

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

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

yolo(all versions) implementation in keras and tensorflow 2.4

A caffe implementation of MobileNet-YOLO detection network

Go bindings for Darknet (YOLO v4 / v3)

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

Compare FasterRCNN,Yolo,SSD model with the same dataset

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

YoloV3 Implemented in Tensorflow 2.0

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

person detect based on yolov3 with several Python scripts

php ffi darknet

The back-end for the YOLOv3 object detector running as a webapp

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

Scaled-YOLOv4: Scaling Cross Stage Partial Network

Convert JSON annotations into YOLO format.

YOLOv3 implementation in TensorFlow 2.3.1

Push-pull streaming and Web display of YOLO series

Deep learning-based Face detection using the YOLOv3 algorithm (https://github.com/sthanhng/yoloface)

People detection and optional tracking with Tensorflow backend.

A Python wrapper on Darknet. Compatible with YOLO V3.

Object Detection API Tensorflow

Full implementation of YOLOv3 in PyTorch

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

🔥Improve yolo with latest paper

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.

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

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

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

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

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

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

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

A windows caffe implementation of YOLO detection network

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

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

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Trial on kaggle imagenet object localization by yolo v3 in google cloud

A collaborative tool for labeling image data for yolo

Deep Learning Applied To Vehicle Registration Plate Detection and Recognition in PyTorch.

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

automated social distancing monitoring system

Repository for the paper "Extending Maps with Semantic and Contextual Object Information for Robot Navigation: a Learning-Based Framework using Visual and Depth Cues"

Implementation of YoloV3 and Caffe in OpenCvSharp

Image object detection demo(YOLO,SSD,etc.) running as a Flask web server.

An 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

The code of the Object Counting API, implemented with the YOLO algorithm and with the SORT algorithm