80 Repositories
Python connected-vehicle Libraries
Code for intrusion detection system (IDS) development using CNN models and transfer learning
Intrusion-Detection-System-Using-CNN-and-Transfer-Learning This is the code for the paper entitled "A Transfer Learning and Optimized CNN Based Intrus
An electron application to check battery of bluetooth devices connected to linux devices.
bluetooth-battery-electron An electron application to check battery of bluetooth devices connected to linux devices. This project provides an electron
Pykeeb - A small Python script that prints out currently connected keyboards
pykeeb 🐍 ⌨️ A small Python script that detects and prints out currently connect
A Discord.py bot which can adjust a voice channel's bitrate depending on the number of users connected.
discord_bitrate_bot A Discord.py bot which can adjust a voice channel's bitrate depending on the number of users connected. Programmed to be run on a
IP Pinger - This tool allows you to enter an IP and check if its currently connected to a host
IP Pinger - This tool allows you to enter an IP and check if its currently connected to a host
A simple python script that parses the MSFT Teams log file for the users current Teams status and then outputs the status color to a MQTT connected light.
Description A simple python script that parses the MSFT Teams log file for the users current Teams status and then outputs the status color to a MQTT
A server hosts a FastAPI application and multiple clients can be connected to it via SocketIO.
FastAPI_and_SocketIO A server hosts a FastAPI application and multiple clients can be connected to it via SocketIO. Executing server.py sets up the se
Small U-Net for vehicle detection
Small U-Net for vehicle detection Vivek Yadav, PhD Overview In this repository , we will go over using U-net for detecting vehicles in a video stream
Source code of all the projects of Udacity Self-Driving Car Engineer Nanodegree.
self-driving-car In this repository I will share the source code of all the projects of Udacity Self-Driving Car Engineer Nanodegree. Hope this might
Team10 backend - A service which accepts a VRM (Vehicle Registration Mark)
GreenShip - API A service which accepts a VRM (Vehicle Registration Mark) and re
Fener ROS2 package version 2
Fener's ROS2 codes that runs on the vehicle. This node contains basic sensing and actuation nodes for vehicle control. Also example applications will be added.
Adafruit IO connected smart thermostat based on CircuitPython.
Adafruit IO Thermostat Adafruit IO connected smart thermostat based on CircuitPython. Background and Motivation I have a 24 V Heat-only system with a
Fully Connected DenseNet for Image Segmentation
Fully Connected DenseNets for Semantic Segmentation Fully Connected DenseNet for Image Segmentation implementation of the paper The One Hundred Layers
Use stochastic processes to generate samples and use them to train a fully-connected neural network based on Keras
Use stochastic processes to generate samples and use them to train a fully-connected neural network based on Keras which will then be used to generate residuals
trade bot connected to binance API/ websocket.,, include dashboard in plotly dash to visualize trades and balances
Crypto trade bot 1. What it is Trading bot connected to Binance API. This project made for fun. So ... Do not use to trade live before you have backte
Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.
Vehicle Detection Video demo Overview Vehicle detection using these machine learning and computer vision techniques. Linear SVM HOG(Histogram of Orien
Stream images from a connected camera over MQTT, view using Streamlit, record to file and sqlite
mqtt-camera-streamer Summary: Publish frames from a connected camera or MJPEG/RTSP stream to an MQTT topic, and view the feed in a browser on another
PyTorch code for ICPR 2020 paper Future Urban Scene Generation Through Vehicle Synthesis
Future urban scene generation through vehicle synthesis This repository contains Pytorch code for the ICPR2020 paper "Future Urban Scene Generation Th
Automatic Number Plate Recognition (ANPR) is a highly accurate system capable of reading vehicle number plates without human intervention
ANPR ANPR is therefore the underlying technology used to find a vehicle license/number plate and it, in turn, supplies this information to a next stag
Python application, displaying currently played track from Spotify on OLED display connected via I2C
RaspberryPi Spotify OLED Display This application will display currently played track on SSD1306 OLED display connected to RaspberryPi. Displayed stuf
PyTorch Implementation for Deep Metric Learning Pipelines
Easily Extendable Basic Deep Metric Learning Pipeline Karsten Roth ([email protected]), Biagio Brattoli ([email protected]) When using thi
Mazda Connected Service API wrapper based on pymazda and Flask.
Mazda Connected Service Relay Mazda Connected Service API wrapper based on pymazda and Flask. Usage Make POST calls to https://mymazda.herokuapp.com/{
A Python API for Connected 2
connected API for Connected 2 api for the { connected 2 } programmer : api report api follow api check username api forget password api Search api cha
Brute-Force-Connected
Brute-Force-Connected Guess the password for Connected accounts the use : Create a new file and put usernames and passwords in it Example : joker:1234
Flow is a computational framework for deep RL and control experiments for traffic microsimulation.
Flow Flow is a computational framework for deep RL and control experiments for traffic microsimulation. See our website for more information on the ap
A dashboard built using Plotly-Dash for interactive visualization of Dex-connected individuals across the country.
Dashboard For The DexConnect Platform of Dexterity Global Working prototype submission for internship at Dexterity Global Group. Dashboard for real ti
S-attack library. Official implementation of two papers "Are socially-aware trajectory prediction models really socially-aware?" and "Vehicle trajectory prediction works, but not everywhere".
S-attack library: A library for evaluating trajectory prediction models This library contains two research projects to assess the trajectory predictio
SoK: Vehicle Orientation Representations for Deep Rotation Estimation
SoK: Vehicle Orientation Representations for Deep Rotation Estimation Raymond H. Tu, Siyuan Peng, Valdimir Leung, Richard Gao, Jerry Lan This is the o
Official implementation of Densely connected normalizing flows
Densely connected normalizing flows This repository is the official implementation of NeurIPS 2021 paper Densely connected normalizing flows. Poster a
Source code for CsiNet and CRNet using Fully Connected Layer-Shared feedback architecture.
FCS-applications Source code for CsiNet and CRNet using the Fully Connected Layer-Shared feedback architecture. Introduction This repository contains
Vehicle registration using Python, Django and SQlite3
PythonCrud Cadastro de veículos utilizando Python, Django e SQlite3 Para acessar o deploy no Heroku:
A light and fast one class detection framework for edge devices. We provide face detector, head detector, pedestrian detector, vehicle detector......
A Light and Fast Face Detector for Edge Devices Big News: LFD, which is a big update of LFFD, now is released (2021.03.09). It is strongly recommended
This is a small Panel applet for the Budgie Desktop to display the battery charge of a connected Bluetooth device.
BudgieBluetoothBattery This is a small Panel applet for the Budgie Desktop to display the battery charge of a connected Bluetooth device. It uses the
Code base of KU AIRS: SPARK Autonomous Vehicle Team
KU AIRS: SPARK Autonomous Vehicle Project Check this link for the blog post describing this project and the video of SPARK in simulation and on parkou
This tool will scans your wi-fi/wlan and show you the connected clients
This tool will scans your wi-fi/wlan and show you the connected clients
ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees
ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees This repository is the official implementation of the empirica
Yolo algorithm for detection + centroid tracker to track vehicles
Vehicle Tracking using Centroid tracker Algorithm used : Yolo algorithm for detection + centroid tracker to track vehicles Backend : opencv and python
Vehicle direction identification consists of three module detection , tracking and direction recognization.
Vehicle-direction-identification Vehicle direction identification consists of three module detection , tracking and direction recognization. Algorithm
FCA: Learning a 3D Full-coverage Vehicle Camouflage for Multi-view Physical Adversarial Attack
FCA: Learning a 3D Full-coverage Vehicle Camouflage for Multi-view Physical Adversarial Attack Case study of the FCA. The code can be find in FCA. Cas
Autonomous Ground Vehicle Navigation and Control Simulation Examples in Python
Autonomous Ground Vehicle Navigation and Control Simulation Examples in Python THIS PROJECT IS CURRENTLY A WORK IN PROGRESS AND THUS THIS REPOSITORY I
UAV-Networks-Routing is a Python simulator for experimenting routing algorithms and mac protocols on unmanned aerial vehicle networks.
UAV-Networks Simulator - Autonomous Networking - A.A. 20/21 UAV-Networks-Routing is a Python simulator for experimenting routing algorithms and mac pr
Code for ICMI2020 and ICMI2021 papers: "Studying Person-Specific Pointing and Gaze Behavior for Multimodal Referencing of Outside Objects from a Moving Vehicle" and "ML-PersRef: A Machine Learning-based Personalized Multimodal Fusion Approach for Referencing Outside Objects From a Moving Vehicle"
ML-PersRef This repository has python code (in jupyter notebooks) for both of the following papers: ML-PersRef: A Machine Learning-based Personalized
PoC code for stealing the WiFi password of a network with a Lovebox IOT device connected
LoveBoxer PoC code for stealing the WiFi password of a network with a Lovebox IOT device connected. This PoC was is what I used in this blogpost Usage
Vehicle speed detection with python
Vehicle-speed-detection In the project simulate the tracker.py first then simulate the SpeedDetector.py. Finally, a new window pops up and the output
Downloads SEP, Baseband and BuildManifest automatically for signed iOS version's for connected iDevice
FutureHelper Supports macOS and Windows Downloads SEP, Baseband and BuildManifest automatically for signed iOS version's (including beta firmwares) fo
ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees
ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees This repository is the official implementation of the empirica
This python program will display all SSID usernames and SSID passwords you once connected to your laptop
Windows-Wifi-password-extractor This python program will display all SSID usernames and SSID passwords you once connected to your laptop How to run th
This is a small python code that I use with my NAS server connected to Plex
Spotifarr This is a small python code that I use with my NAS server connected to Plex I didn't appreciate how Lidarr works because it downloads a full
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
Densely Connected Convolutional Networks (DenseNets) This repository contains the code for DenseNet introduced in the following paper Densely Connecte
Vehicles Counting using YOLOv4 + DeepSORT + Flask + Ngrok
A project for counting vehicles using YOLOv4 + DeepSORT + Flask + Ngrok
An OSINT tool that searches for devices directly connected to the internet (IoT) with a user specified query. It returns results for Webcams, Traffic lights, Refridgerators, Smart TVs etc.
An OSINT tool that searches for devices directly connected to the internet (IoT) with a user specified query. It returns results for Webcams, Traffic
OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.
OptaPy is an AI constraint solver for Python to optimize the Vehicle Routing Problem, Employee Rostering, Maintenance Scheduling, Task Assignment, School Timetabling, Cloud Optimization, Conference Scheduling, Job Shop Scheduling, Bin Packing and many more planning problems.
Densely Connected Search Space for More Flexible Neural Architecture Search (CVPR2020)
DenseNAS The code of the CVPR2020 paper Densely Connected Search Space for More Flexible Neural Architecture Search. Neural architecture search (NAS)
High capacity, high availability, well connected, fast lightning node.
LND ⚡ Routing High capacity, high availability, well connected, fast lightning node. We aim to become a top liquidity provider for the lightning netwo
Vehicle Detection Using Deep Learning and YOLO Algorithm
VehicleDetection Vehicle Detection Using Deep Learning and YOLO Algorithm Dataset take or find vehicle images for create a special dataset for fine-tu
OptaPlanner wrappers for Python. Currently significantly slower than OptaPlanner in Java or Kotlin.
OptaPy is an AI constraint solver for Python to optimize the Vehicle Routing Problem, Employee Rostering, Maintenance Scheduling, Task Assignment, School Timetabling, Cloud Optimization, Conference Scheduling, Job Shop Scheduling, Bin Packing and many more planning problems.
This is the offical website for paper ''Category-consistent deep network learning for accurate vehicle logo recognition''
The Pytorch Implementation of Category-consistent deep network learning for accurate vehicle logo recognition This is the offical website for paper ''
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition (PyTorch) Paper: https://arxiv.org/abs/2105.01883 Citation: @
A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.
OpenCDA OpenCDA is a SIMULATION tool integrated with a prototype cooperative driving automation (CDA; see SAE J3216) pipeline as well as regular autom
A tiny, friendly, strong baseline code for Person-reID (based on pytorch).
Pytorch ReID Strong, Small, Friendly A tiny, friendly, strong baseline code for Person-reID (based on pytorch). Strong. It is consistent with the new
PyTorch implementation of Densely Connected Time Delay Neural Network
Densely Connected Time Delay Neural Network PyTorch implementation of Densely Connected Time Delay Neural Network (D-TDNN) in our paper "Densely Conne
Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"
EgoNet Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation". This repo inclu
Simple streamlit app to demonstrate HERE Tour Planning
Table of Contents About the Project Built With Getting Started Prerequisites Installation Usage Roadmap Contributing License Acknowledgements About Th
Aerial Imagery dataset for fire detection: classification and segmentation (Unmanned Aerial Vehicle (UAV))
Aerial Imagery dataset for fire detection: classification and segmentation using Unmanned Aerial Vehicle (UAV) Title FLAME (Fire Luminosity Airborne-b
Vehicle Identification Speed Detection (VISD) extracts vehicle information like License Plate number, Manufacturer and colour from a video and provides this data in the form of a CSV file
Vehicle Identification Speed Detection (VISD) extracts vehicle information like License Plate number, Manufacturer and colour from a video and provides this data in the form of a CSV file. VISD can also perform vehicle speed detection on a video. All these features of VSID are provided to the user using a Web Application which is created using Flask
Docker Compose based system for running remote browsers (including Flash and Java support) connected to web archives
pywb Remote Browsers This repository provides a simple configuration for deploying any pywb with remote browsers provided by OWT/Shepherd Remote Brows
Model-free Vehicle Tracking and State Estimation in Point Cloud Sequences
Model-free Vehicle Tracking and State Estimation in Point Cloud Sequences 1. Introduction This project is for paper Model-free Vehicle Tracking and St
Code reproduce for paper "Vehicle Re-identification with Viewpoint-aware Metric Learning"
VANET Code reproduce for paper "Vehicle Re-identification with Viewpoint-aware Metric Learning" Introduction This is the implementation of article VAN
Code for "FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection", ICRA 2021
FGR This repository contains the python implementation for paper "FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection"(I
City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones Code
City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones Requirements Python 3.8 or later with all requirements.txt dependencies installed,
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition
RepMLP RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition Released the code of RepMLP together with an example o
(IEEE TIP 2021) Regularized Densely-connected Pyramid Network for Salient Instance Segmentation
RDPNet IEEE TIP 2021: Regularized Densely-connected Pyramid Network for Salient Instance Segmentation PyTorch training and testing code are available.
A python script and steps to display locations of peers connected to qbittorrent
A python script (along with instructions) to display the locations of all the peers your qBittorrent client is connected to in a Grafana worldmap dash
🏆 The 1st Place Submission to AICity Challenge 2021 Natural Language-Based Vehicle Retrieval Track (Alibaba-UTS submission)
🏆 The 1st Place Submission to AICity Challenge 2021 Natural Language-Based Vehicle Retrieval Track (Alibaba-UTS submission)
The 1st place solution of track2 (Vehicle Re-Identification) in the NVIDIA AI City Challenge at CVPR 2021 Workshop.
AICITY2021_Track2_DMT The 1st place solution of track2 (Vehicle Re-Identification) in the NVIDIA AI City Challenge at CVPR 2021 Workshop. Introduction
🏆 The 1st Place Submission to AICity Challenge 2021 Natural Language-Based Vehicle Retrieval Track (Alibaba-UTS submission)
AI City 2021: Connecting Language and Vision for Natural Language-Based Vehicle Retrieval 🏆 The 1st Place Submission to AICity Challenge 2021 Natural
This repo is developed for Strong Baseline For Vehicle Re-Identification in Track 2 Ai-City-2021 Challenges
A STRONG BASELINE FOR VEHICLE RE-IDENTIFICATION This paper is accepted to the IEEE Conference on Computer Vision and Pattern Recognition Workshop(CVPR
DL & CV-based indicator toolset for the vehicle drivers via live dash-cam footage.
Vehicle Indicator Toolset Deep Learning and Computer Vision based indicator toolset for vehicle drivers using live dash-cam footages. Tracking of vehi
EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising
EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising By Tengfei Liang, Yi Jin, Yidong Li, Tao Wang. Th
ANalyse is a vehicle network analysis and attack tool.
CANalyse is a tool built to analyze the log files to find out unique datasets automatically and able to connect to simple user interfaces suc