python-ffmpeg
使用Python的subprocess模块调用ffmpeg，实现图片序列的3x3网格合并以及反向拆分，支持用户自定义输入输出路径。
xy-dng-ng-dng-x-l-nh-opencv
Tạo mã nguồn ứng dụng xử lý ảnh (GUI hoặc Web) sử dụng OpenCV với các chức năng cơ bản: đọc ảnh, chuyển xám, cắt ảnh, xoay/lật, làm mịn và phát hiện cạnh.
configuracin-y-edicin-de-video-vertical-en-adobe-premiere-cs6
Guía especializada para configurar secuencias verticales, corregir la orientación de clips en masa, aplicar efectos dinámicos y exportar videos optimizados para Instagram utilizando exclusivamente funciones de Adobe Premiere CS6.
video-anomaly-detection-with-videomae
A Python program to detect anomalies in videos using the VideoMAEForPreTraining model. It processes videos by dividing them into 16-frame clips, extracts embeddings using an unmasked boolean mask, and compares them against a normal behavior profile using Mean Squared Error (MSE).
video-segment-extraction-audio-loudness
Script Python pour extraire des segments vidéo basés sur les pics d'amplitude audio, offrant à l'utilisateur le choix de placer ce pic au début (1/3), au milieu (1/2), à la fin (2/3) ou aléatoirement dans le segment extrait.
musyq-fvc-hdf5
使用Python处理MuSyQ FVC数据的HDF5格式文件，包括检查数据结构、提取FVC及红蓝近红外波段、转换为TIFF格式以及进行图像可视化。
extraction-video-par-intensite-audio
Génère un script Python complet pour analyser l'audio de vidéos (RMS), identifier les moments forts, trier les résultats et extraire les segments correspondants via ffmpeg, avec un positionnement précis du pic sonore (1/3, 1/2, 2/3).
python-moviepy-subtitle-overlay-with-extended-duration
Generates a Python script using MoviePy and pysrt to overlay subtitles on a video, specifically extending each subtitle's display duration by 1 second and applying yellow-on-black styling.
opencv-video-nine-grid-with-style
使用OpenCV从视频中均匀提取9帧画面，合并为3x3九宫格图片，并为每帧添加边框及指定大小的文字标注。
load-inverted-grayscale-image-with-pil
Loads an image using PIL, converts it to grayscale, inverts pixel values so white is 0 and black is 255, and outputs a uint8 NumPy array.
youtube-audio-download-and-split-script-generator
Generates a Python script for Google Colab to download audio from a YouTube URL using yt-dlp and split it into equal-length segments using moviepy.
python-ffmpeg-video-creation-from-image-sequence
A Python script pattern to convert a directory of sorted images into an MP4 video using FFmpeg via subprocess, including cleanup of temporary files.
twitter-media-extraction-and-telegram-sender
Extracts media from Twitter JSON, selects optimal video variants using batched HEAD requests and cache bypassing to ensure files are under 50MB, and sends them to a Telegram chat via Cloudflare Workers.
native-audio-dsp-filter-implementation
Implement native Node.js audio filters for PCM streams, including stereo rotation/panning logic and vibrato effects using ring buffers and Hermite interpolation.
audio-mel-spectrogram-preprocessing-with-min-width-trimming
Processes a directory of audio files to generate Mel spectrograms and labels, ensuring uniform shape by trimming to the minimum width, and saving the results to .npy files.
opencv-image-processing-with-library-constraints
Implement image processing functions (blur, sharpen, edge detection) using only OpenCV and Matplotlib, strictly avoiding NumPy and SciPy imports.
python-image-dataset-loader-and-caption-filter
A Python module to load images and associated caption files from a directory, filter images based on caption text patterns with wildcards and exclusion rules, and copy the matched files to a new location.
paired-image-text-dataset-loader
Loads and preprocesses paired image and text files from separate directories, matching them by base filename (e.g., screen_13.png with html_13.html) for machine learning training.
audio-filename-parsing-for-zero-prefixed-numbers
Parses text strings to map to audio files. If text starts with '0' followed by a digit (e.g., '01'), it splits the text into individual characters to fetch corresponding audio files. Otherwise, it uses the whole text as the filename.
audio-dataset-loading-and-stft-feature-extraction
Load audio files from a directory, parse labels from filenames, generate random VAD segments, extract STFT features (mean along axis 1, converted to dB), and split the dataset into train/test sets.
fix-native-audio-filter-stream-output
Corrects the `Filtering` Transform stream class to ensure processed audio buffers (e.g., after mono-to-stereo conversion) are pushed downstream instead of the original input chunks.
automated-audio-recognition-and-tagging-workflow
A comprehensive Python workflow for recognizing songs from microphone, internal audio, or files using ACRCloud and Shazam. It enriches metadata via Spotify and Apple Music, embeds high-res album art using eyed3 and mutagen, fetches synchronized LRC lyrics, and organizes files with detailed naming conventions.