Smart Glasses for the Visually Impaired
-
Updated
Jun 12, 2024 - Python
Computer vision is an interdisciplinary field that deals with how computers can be made to gain high-level understanding of digital images and videos.
Smart Glasses for the Visually Impaired
Python package with Deep Learning utilities for Computer Vision
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Pipeline for labeling, tracking, and measuring eyelid pressure measured from mechanochromic lens to assist the diagnosis of dry eye syndrome (DES)
An open survey on 3D Gaussian Splatting compression methods
Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..
🎷 1st Place for HackNotts84. Intuitive, Retro, Gesture Based, Rhythm game using Python3, GMS2, OpenCV & MediaPipe. Feel free to download and play!
This is an autonomous sentry turret that uses Computer Vision to track and shoot a toy gel blaster at targets using Python, OpenCV, and Raspberry Pi4
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
Valor is a centralized evaluation store which makes it easy to measure, explore, and rank model performance.
A PyTorch implementation of the paper https://arxiv.org/abs/1811.06861. It presents a reconstruction-based approach to anomaly detection with focus on surface defects.
This repo serves as a guide for the BYU Image Segmentation group. We are attempting to identify structures in images created by Electron cryotomography.
Media annotation and analysis tools for web and desktop. Get started at https://viame.kitware.com
Python script to generate a sticker image from logo png/svg, built with OpenCV and NumPy
OCR, extract and classify documents. In addition, annotate documents and build your own NLP and Computer Vision models using Python by downloading the data. Find examples in our Colab Notebooks, e. g. how to fine-tune Flair.
Data processing with ML and LLM
An open source implementation of CLIP.
Cross-platform, customizable ML solutions for live and streaming media.