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snapsort-trash-classification-with-yolo-v3-darknet

How to classify trash with Yolo v3

social-distancing

A self-implemented social distancing program, the main idea of which being credited to Landing.ai and pyimagesearch

social-distancing-opencv-dl

A social distancing detector

spectral-trajectory-and-behavior-prediction

This is the code base for Trajectory and Driver Behavior Prediction in Autonomous Vehicles using Spectral Graph Theory

speed-detection

Vehicle Speed Detection using CCTV

speed-detection-1

Realtime speed detection of cars

speed-detection-aos

Detection of the speed of the vehicle using opencv

speed-detection-of-moving-vehicle

This project let you to determine the speed of a moving vehicle you just need to import the video file to the program.

speed_detection_cv

This is a very very simple app for Calculating Speed of cars.

speed_estimation

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.

speed_tracking

Multiple Cars Detection and Speed Tracking

srnn

Pytorch implementation of structural recurrent neural network (SRNN) for traffic speed prediction

ssd-model-trained-for-car-and-license-plate-detection

SSD Model trained for Car and License plate Detection

ssd-object-detection

SSD Object Detection

st-metanet

The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"

stgat

Implementation of Spatial-Temporal Graph Attention Networks for Traffic Flow Forecasting(for IJCAI 2020)

sumo-v2x-communication-research-platooning-and-cim

Traffic simulation project for dissertation

sumolights

SUMO adaptive traffic signal control - DQN, DDPG, Webster's, Max-pressure, Self-Organizing Traffic Lights

t-gcn

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

tcc

Tentando aplicar yolov4 com obj tracking

tcn-fx-price-prediction

Forex Time-Series Prediction Using TCN

tensorflow-2.x-tutorials

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。

tensorflow-handbook

简单粗暴 TensorFlow 2.0 | A Concise Handbook of TensorFlow 2.0

tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等

tensorflow_project_template

A example for STAttention-LSTM based traffic prediction

tensorflowpredictcongestiontypes

Python tensorflow is used to predict trafffic congestion types based on image object recognition

tensorrt_car_det_yolov3

Vehicle / license plate detection model transformation TRT

test_yolov4_

tfl_modelling

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.

thatsjustthewazeitis

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.