qberg's Stars
papers-we-love/papers-we-love
Papers from the computer science community to read and discuss.
prakhar1989/awesome-courses
:books: List of awesome university courses for learning Computer Science!
mikel-brostrom/boxmot
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
kamyu104/LeetCode-Solutions
🏋️ Python / Modern C++ Solutions of All 3283 LeetCode Problems (Weekly Update)
schollz/find3
High-precision indoor positioning framework, version 3.
borisbanushev/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
christianversloot/machine-learning-articles
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
Oros42/IMSI-catcher
This program show you IMSI numbers of cellphones around you.
GeekAlexis/FastMOT
High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
LeonLok/Multi-Camera-Live-Object-Tracking
Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.
zemmsoares/awesome-rices
A curated list of awesome unix user rices!
theAIGuysCode/yolov4-custom-functions
A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.
fxia22/stn.pytorch
pytorch version of spatial transformer networks
saimj7/People-Counting-in-Real-Time
People Counting in Real-Time with an IP camera.
gregzanotti/dlsa-public
Deep Learning Statistical Arbitrage
connervieira/Predator
A multi-purpose camera system focused on offline license plate and object recognition
SkalskiP/yolov8-live
A short script showing how to build simple real-time video analytics apps using YOLOv8 and Supervision. Try it out, and most importantly have fun! 🤪
pragatiunna/License-Plate-Number-Detection
A project where the license plate number is extracted from image of a vehicle using Object detection and Character recognition techniques.
Umar-Saeed-97/Vehicle-Count
Object Detection | Object Tracking | YOLOv8 | ByteTrack
siddrs/dotfiles
my config files
stephanecharette/DarkPlate
License plate parsing using Darknet and YOLO
andreybicalho/vrpdr
Deep Learning Applied To Vehicle Registration Plate Detection and Recognition in PyTorch.
mohamedamine99/Object-tracking-and-counting-using-YOLOV8
This repository contains the code for an object detection, tracking and counting project using the YOLOv8 object detection algorithm and the SORT (Simple Online and Realtime Tracking) algorithm for object tracking. The project has been implemented using object-oriented programming principles in Python.
shahshubh/CampusCar
CampusCar provides automated vehicle entry system for any campus/institute or any buildings/socities to automate the process and help maintain records,logs,vehicles etc.
CityofEdmonton/pedestrian-counter
A pedestrian counter that uses thermal vision to identify and count citizens while respecting their privacy.
ierolsen/YOLO-License-Plate-Detection-Web-App
License plate detection with YOLO and extract text using OCR
XiaMooo/yolov8-visualizations
Yolov8-visualizations
aemulare/Vehicle-Management-System
CSC330 Object-Oriented Software Design course, CSC424 Database Management course
ablanco1950/LicensePlate_Yolov8_MaxFilters
LicensePlate_Yolov8_MaxFilters: recognition of car license plates that are detected by Yolov8 and recognized with pytesseract after processing with a pipeline of filters choosing the most repeated car license plate. In a test with 21 images, 18 hits are achieved
initdebugs/YoloV8-User-Interface
This is a simple user interface for YOLOv8, a popular object detection system. The program allows the user to select a video or image file and a YOLO model file, and then run YOLO on the selected input using the specified model. The output of YOLO is displayed in the GUI window, along with a progress bar that updates as YOLO processes the input.