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Source code related to BoxCars publication
Simultaneous object detection and tracking using center points.
Deep Cosine Metric Learning for Person Re-identification
:computer:深度学习实战:手写数字识别、Discuz验证码识别、垃圾分类、语义分割
Simple Online Realtime Tracking with a Deep Association Metric
MOT tracking using deepsort and yolov3 with pytorch
Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow
I major in traffic planning, and I want to add new method into my field, such as deep learning.
human tracking based on yolov3 and center loss
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Deep Learning for humans
A Keras implementation of YOLOv3 (Tensorflow backend)
Models and examples built with TensorFlow
smoothing the NGSIM US-101 trajectory dataset using Savitzky-Golay Filter
YOLO & RCNN Object Detection and Multi-Object Tracking
Open Source Computer Vision Library
Visual tracking library based on PyTorch.
Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.
Problem Statement: This dataset contains the trajectories of thousands of taxis operating in China. Your task is to read through the following paper and produce the first graphs (distribution of distances and sampling time interval). Next, please pick a trajectory for a particular trip and determine its smoothed trajectory (using Kalman filter for example or splines)
An Open Source Machine Learning Framework for Everyone
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
在tensorflow提供的嵌入式demo基础上,使用自己训练的yolov3-tiny模型权重,实现界面精简(好吧只有一个界面)的Android端车辆识别实时系统
Real-time MOT using YOLOv3 and SORT with tensorflow
tensorflow implementation of 'YOLO : Real-Time Object Detection'
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
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.