Stephen Blum stephenlb

FemtoGPT Inference Mode

To compile and execute the program from a different source file, such as infer.rs, and name the resulting binary infer, follow these modified instructions:

Step-by-step Instructions

Update Project Structure: Create a new source file named infer.rs in the src directory.
```
touch src/infer.rs
```

AsyncIO PubNub Subscribe Example

Usage example:

pip install asyncio pubnub
export PUBNUB_PUBLISH_KEY=demo
export PUBNUB_SUBSCRIBE_KEY=demo
python main.py

ReactJS vs Preact: New Project

Preact has smaller library files compared to React. Here is a detailed comparison:

Library Size

React: The minified and gzipped production build of React typically weighs around 60 KB.
Preact: The minified and gzipped version of Preact is significantly smaller, approximately 6 KB.

Other Considerations

API Compatibility: Preact aims to be as compatible as possible with React's API, but there are some differences and limitations. For example, not all of React's advanced features or third-party libraries may work seamlessly with Preact.

YOLO Object Detection: Image Recognition Software Guide

Introduction

YOLO (You Only Look Once) is a popular object detection algorithm well-documented by Ultralytics. For more comprehensive details, visit the Ultralytics YOLO documentation.

Docker Ultralytics

To perform object detection using YOLO in a Docker environment, you can run the following commands:

# Install

	startup_message off
	vbell on
	msgwait 1
	defscrollback 200000

	hardstatus alwayslastline
	hardstatus string '%{= kG}[ Stephen Blum ]%{g}[%= %{= kw}%?%-Lw%?%{r}(%{W}%n*%f%t%?(%u)%?%{r})%{w}%?%+Lw%?%?%= %{g}][%{B} %m/%d %{W}%c %{g}]'
	caption string "%{W}%n%f %t%?(%u)%?%{r}"

	rendition so =rb 04

	# YouTube Video https://youtu.be/SDCzXr-mBcw

	import torch
	import requests
	from PIL import Image
	from transformers import Blip2Processor, Blip2ForConditionalGeneration
	from optimum.bettertransformer import BetterTransformer

	# Load the processor and model
	processor = Blip2Processor.from_pretrained("Salesforce/blip2-flan-t5-xl")

	//
	//
	// Add your API Key to MY SECRETS (Left Panel)
	//
	// HUGGINGFACE_API_KEY as the Secret Name
	//
	//
	let HUGGINGFACE_API_KEY = null;
	function getAPIKey() {
	// Use cached key

	const http = require("xhr");
	const pubnub = require("pubnub");
	// const dataUrl = 'https://gist.githubusercontent.com/stephenlb/2ed6782ee9ad47854dfb26028e0ca79c/raw/b6c9580ce624cfadc5be66123e3a1df1165dd047/test-data.json';
	const dataUrl = 'https://gist.githubusercontent.com/stephenlb/2ed6782ee9ad47854dfb26028e0ca79c/raw/9fc8b7e62fcb7fcdfe3ce87f7003b316540fba1b/test-data-300.json'

	let data = null;
	let position = 0;

	/* data synth sinusoidal */
	const wavelength = 20;