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How to classify trash with Yolo v3
A self-implemented social distancing program, the main idea of which being credited to Landing.ai and pyimagesearch
A social distancing detector
This is the code base for Trajectory and Driver Behavior Prediction in Autonomous Vehicles using Spectral Graph Theory
Vehicle Speed Detection using CCTV
Realtime speed detection of cars
Detection of the speed of the vehicle using opencv
This project let you to determine the speed of a moving vehicle you just need to import the video file to the program.
This is a very very simple app for Calculating Speed of cars.
There are two videos of a fixed traffic camera facing to both sides of the road. Some physical measurements are also provided in the sample image. The problem is to calculate the speed of each vehicle (mostly cars) in the scene.
Multiple Cars Detection and Speed Tracking
Pytorch implementation of structural recurrent neural network (SRNN) for traffic speed prediction
SSD Model trained for Car and License plate Detection
SSD Object Detection
The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"
Implementation of Spatial-Temporal Graph Attention Networks for Traffic Flow Forecasting(for IJCAI 2020)
Traffic simulation project for dissertation
SUMO adaptive traffic signal control - DQN, DDPG, Webster's, Max-pressure, Self-Organizing Traffic Lights
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
Tentando aplicar yolov4 com obj tracking
Forex Time-Series Prediction Using TCN
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。
简单粗暴 TensorFlow 2.0 | A Concise Handbook of TensorFlow 2.0
tensorflow实战练习,包括强化学习、推荐系统、nlp等
A example for STAttention-LSTM based traffic prediction
Python tensorflow is used to predict trafffic congestion types based on image object recognition
Vehicle / license plate detection model transformation TRT
Project which uses a psql database as a backend to fit a model rainfall depth and traffic speed. Note you cannot run the scripts without access to the database.
The goal of our project is to create a concurrent network of cars driving on a map represented by a graph (vertices and edges). The vertices on the graph represent each intersection/decision the car has to make and each edge is given a weight that is constantly changing. The weight will be represented by a weight function that calculates the weight using the edge weight (distance / speed limit) and the number of cars currently on the road (traffic). Each car represents their own concurrent thread and will be spawned with two arguments, their starting location and their destination (vertices). Each thread will report the expected time of arrival at the destination calculated with an SSSP algorithm (probably Dijkstra’s algorithm). This will be updated based on the current state of the map at each intersection, deciding the most optimal route to get to the destination as soon as possible (which will be affected by the movement of other cars). Cars will only check for optimal path at each vertex as each car has to finish travelling on the road they are currently on before any change in decision can be made. The main map will be represented by a “server” that communicates with the car threads. A lock will have to be used to only allow one car to compute their optimal route and report the route they are currently taking to avoid race conditions.
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.