notnotrishi

"""
Flask application for converting images to 3D using Apple's SHARP model.

Installation:
1. Clone ml-sharp repository:
   git clone https://github.com/apple/ml-sharp
   cd ml-sharp
   pip install -r requirements.txt

2. Install Flask and Flask-CORS:

notnotrishi

"""
Flask application for converting images to 3D using Apple's SHARP model.

Installation:
1. Clone ml-sharp repository:
   git clone https://github.com/apple/ml-sharp
   cd ml-sharp
   pip install -r requirements.txt

2. Install Flask and Flask-CORS:

notnotrishi

#include <errno.h>
#include <fcntl.h>
#include <stdlib.h>
#include <string.h>
#include <unistd.h>
#include <arpa/inet.h>
#include <netdb.h>
#include <sys/resource.h>
#include <sys/time.h>

notnotrishi

(() => {
  // Detect environment
  const detectEnvironment = () => {
    const ua = navigator.userAgent;
    const isVSCode = ua.includes('Visual Studio Code') || 
                     typeof acquireVsCodeApi !== 'undefined' ||
                     window.vscodeApi !== undefined;
    const isElectron = ua.includes('Electron') || typeof require !== 'undefined';
    const isChrome = /Chrome/.test(ua) && !/Edge/.test(ua);
    const isFirefox = /Firefox/.test(ua);

notnotrishi

import asyncio
import os
import pyaudio
from cartesia import AsyncCartesia

async def streaming_stt_example():
    """
    Advanced async STT example for real-time streaming applications.
    This example captures microphone input and processes it in real-time
    with proper error handling and demonstrates endpointing and word timestamp features.

notnotrishi

# This function estimates the corner radius of a window by checking multiple directions from each corner 
# and finding the distance where the image changes from transparent to solid. 
# It’s useful for detecting rounded corners in screenshots of macOS windows or pixel data of images etc.
def estimate_corner_radius(self, image_or_array, threshold=128, samples=8):

        import math
        import numpy as np

        # if input is a PIL Image, convert to numpy array
        if hasattr(image_or_array, 'convert'):