517 Open source projects that are alternatives of or similar to yolo-deepsort-flask

MOT using deepsort and yolov3 with pytorch

using yolox+deepsort for object-tracking

Fast MOT base on yolo+deepsort, support yolo3 and yolo4

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.

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

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.

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

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

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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

A windows caffe implementation of YOLO detection network

YOLOv3 implementation in TensorFlow 2.3.1

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

Go bindings for Darknet (YOLO v4 / v3)

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

yolo(all versions) implementation in keras and tensorflow 2.4

A caffe implementation of MobileNet-YOLO detection network

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

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

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

YoloV3 Implemented in Tensorflow 2.0

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

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

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

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

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

YOLO for object detection tasks

A PyTorch implementation of the YOLO v3 object detection algorithm

People detection and optional tracking with Tensorflow backend.

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

A Python wrapper on Darknet. Compatible with YOLO V3.

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

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

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

Full implementation of YOLOv3 in PyTorch

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

Annotation tool for YOLO in opencv

🔥Improve yolo with latest paper

High level network definitions with pre-trained weights in TensorFlow

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

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

Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow

Yolov3 Object Detection implemented as APIs, using TensorFlow and Flask

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

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

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

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

person detect based on yolov3 with several Python scripts

Compare FasterRCNN,Yolo,SSD model with the same dataset

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

The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.

A collaborative tool for labeling image data for yolo

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

php ffi darknet

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

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

Convert JSON annotations into YOLO format.

Scaled-YOLOv4: Scaling Cross Stage Partial Network

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

A really more real-time adaptation of deep sort