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| #!/usr/bin/env python3 | |
| """Run all four face detectors and produce a single overlay image per input. | |
| Each model's bounding box is drawn in a distinct colour at 50% transparency, | |
| and a legend is rendered at the bottom of the image. | |
| Output: ``{stem}_overlay{ext}`` | |
| """ | |
| import sys |
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| #!/usr/bin/env python3 | |
| """Run four face detectors (MediaPipe, RetinaFace, SCRFD/InsightFace, YOLOv11-face) | |
| on all images in the current folder and save comparison outputs. | |
| Output naming: ``{stem}_{modelname}{ext}`` — one file per model per input. | |
| """ | |
| import sys | |
| import urllib.request | |
| from pathlib import Path |
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| import os | |
| from pydub import AudioSegment | |
| from pathlib import Path | |
| import pyloudnorm as pyln | |
| import soundfile as sf | |
| import numpy as np | |
| def process_audio(input_path, target_lufs=-14, threshold_db=-0.1, overwrite=False): | |
| """ | |
| Process audio file by: |
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| import json | |
| import requests | |
| import base64 | |
| import wave | |
| import io | |
| url = 'https://inworld.ai/api/create-speech' | |
| headers = { | |
| 'accept': '*/*', |
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| """ | |
| A script to convert a large text file into multiple speech audio files | |
| by splitting the text into chunks and processing them sequentially. | |
| """ | |
| import argparse | |
| import datetime | |
| import re | |
| import warnings | |
| from pathlib import Path |
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| import asyncio | |
| import argparse | |
| import json | |
| import sys | |
| from pathlib import Path | |
| from typing import List, Tuple, Set | |
| from bs4 import BeautifulSoup | |
| from curl_cffi.requests import AsyncSession | |
| from pathvalidate import sanitize_filename |
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| <?php | |
| /* | |
| Note that the cleaner sends the html to DirtyMarkup for formatting. | |
| Example input: | |
| <div class=WordSection1> | |
| <p class=MsoNormal align=center style='text-align:center'><span | |
| style='font-size:16.0pt;line-height:107%;font-family:"Abadi Extra Light",sans-serif'>Test | |
| Clean<o:p></o:p></span></p> |
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| """ | |
| Name Matching Algorithm with Nickname and Typo Tolerance | |
| # Basic usage with default thresholds: | |
| python3 nametest.py sample_names.txt | |
| # With custom thresholds: | |
| python3 nametest.py sample_names.txt --first-threshold 80 --last-threshold 90 --last-distance 2 --first-distance 1 | |
| # With custom output file: | |
| python3 nametest.py sample_names.txt --output-file my_matches.csv |
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| """ | |
| # Panorama Strip Combiner | |
| A Python utility that combines vertical image strips into a seamless panorama with smooth blending between overlapping regions. | |
| ## What It Does | |
| This script takes a directory of vertical image strips and combines them into a single panoramic image. It features: | |
| - Automatic ordering of strips based on filename |
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| #!/bin/bash | |
| # This script processes a sequence of TIF images by cropping each image to a vertical strip from the center. Here's a breakdown: | |
| # 1. It takes images from an input directory ("frames-try1") and saves the cropped versions to an output directory ("frames-03-trial"). | |
| # 2. The script extracts a vertical strip with a width of 105 pixels, centered in each image. | |
| # 3. It uses ffprobe to determine the dimensions of the first image, calculates the center, and then uses ffmpeg to crop all images in the sequence. | |
| # If you want to use this script, you might need to edit: | |
| # - `INPUT_DIR` and `OUTPUT_DIR` paths to match your folder names |
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