Posts tagged with "Machine-Learning"

Window Monitoring with Machine Vision

A guide to setting up a window monitoring system using the Moondream2 machine vision model for real-time window content analysis.

Local AI API: Image-to-Text, Text-to-Speech, and LLM APIs

A practical collection of Python Flask API implementations for running various AI models locally, including image-to-text using Moondream, text-to-speech with Coqui TTS, and text generation via local LLMs with OpenAI-compatible interfaces.

Setting Up a Local Large Language Model (LLM) Environment

A guide to setting up a local large language model (LLM) environment for TheraFit, a project focused on matching clients with therapists.

3D Photo Inpainting with Python and PyTorch

A comprehensive guide to setting up and using 3D Photo Inpainting on Windows, including Miniconda environment setup, dependency installation, and usage instructions.

OpenAI Whisper Speech Recognition Guide

Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identification.

GitHub Repository

Installation

pip install git+https://github.com/openai/whisper.git 

Fix CUDA not detecting GPU

pip uninstall torch
pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu116

Example usage

# Transcribe
whisper input.mp3 --model medium.en --language en --task transcribe
# Translate
whisper japanese.wav --model large --language Japanese --task translate

Available models and languages

There are five model sizes, four with English-only versions, offering speed and accuracy tradeoffs. Below are the names of the available models and their approximate memory requirements and relative speed.

Frame Interpolation Large Motion (FILM)

A comprehensive guide to setting up and using Google’s Frame Interpolation Large Motion (FILM) TensorFlow implementation, enabling the creation of smooth animations by generating intermediate frames between existing images using deep learning techniques.