VIProject interprets Kinect camera data, showcasing RGB, depth, and IR videos. It serves as a tool for developing and teaching visual intelligence applications.
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Jun 11, 2024 - Python
VIProject interprets Kinect camera data, showcasing RGB, depth, and IR videos. It serves as a tool for developing and teaching visual intelligence applications.
Automatic Tunisian License Plate Recognition System.
People tracker on the Internet: OSINT analysis and research tool by Jose Pino
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.
ViSpeR: Multilingual Audio-Visual Speech Recognition
A lightweight face-recognition toolbox and pipeline based on tensorflow-lite
Keras beit,caformer,CMT,CoAtNet,convnext,davit,dino,efficientdet,edgenext,efficientformer,efficientnet,eva,fasternet,fastervit,fastvit,flexivit,gcvit,ghostnet,gpvit,hornet,hiera,iformer,inceptionnext,lcnet,levit,maxvit,mobilevit,moganet,nat,nfnets,pvt,swin,tinynet,tinyvit,uniformer,volo,vanillanet,yolor,yolov7,yolov8,yolox,gpt2,llama2, alias kecam
Repository contains Python Library for communicating with the Aspose.BarCode Cloud API
🖐️ Background-independent deep learning model for hand sign digit recognition
License Plate Recognition using YOLOv8 + EasyOCR + NAFNet
🔥 Unleash the Power of Computer Vision!
Vent intrusive TV ads
(project) Implementing a LLM model with dimensional speech recognition
An Artificial Neural Network (ANN) which recognizes handwritten digits, implemented in python from scratch 🐍 📈
This repository contains the implementation of the research paper titled "Two-branch Attention Learning for Fine-grained Class Incremental Learning".
A Python evaluation metrics package for surgical action triplet recognition
Timeline - A photo organizer
Este projeto visava criar um sistema de reconhecimento de sinais de Libras em tempo real, utilizando técnicas de aprendizado de máquina e visão computacional. Inicialmente, foi empregada a detecção de mãos com o MediaPipe Hands e a classificação dos sinais com RandomForestClassifier.
This project is an Implementation of the Paper DDAMFN 2023. This is implemented in PyTorch with FER+ and CK+ dataset using the mps device on Apple Silicon.
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