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分类目录: testing security media

显示第 1–8 个,共 8 个

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GitHub

ffmpeg-opencv-integration

JosiahSiegel

Complete FFmpeg + OpenCV + Python integration guide for video processing pipelines. PROACTIVELY activate for: (1) FFmpeg to OpenCV frame handoff, (2) cv2.VideoCapture vs ffmpeg subprocess, (3) BGR/RGB color for...

GitHub

ffmpeg-python-integration-reference

JosiahSiegel

Authoritative Python-FFmpeg parameter integration reference ensuring type safety, accurate parameter mappings, and proper unit conversions. PROACTIVELY activate for: (1) ffmpeg-python library usage, (2) Python...

GitHub

python-opencv

JosiahSiegel

Complete OpenCV computer vision system for Python. PROACTIVELY activate for: (1) Image loading with cv2.imread (BGR format gotcha), (2) Video capture with cv2.VideoCapture, (3) Color space conversion (BGR to RG...

GitHub

ffmpeg-modal-containers

JosiahSiegel

Complete Modal.com FFmpeg deployment system for serverless video processing. PROACTIVELY activate for: (1) Modal.com FFmpeg container setup, (2) GPU-accelerated video encoding on Modal (NVIDIA, NVENC), (3) Para...

GitHub

higgsfield-operator

eddiebe147

Master operator guide for Higgsfield AI video generation platform. Covers all 70+ camera presets, 23+ VFX effects, Soul ID character consistency, multi-model integration (Sora 2, Veo 3.1, WAN 2.5, Kling 2.6), P...

GitHub

gemini-image-generator

feed-mob

Generate, edit, or transform images with Gemini Nano Banana using bundled Python scripts (Flash or Pro) including aspect ratio, resolution, image-to-image edits, logo overlays, and reference images. Use when us...

GitHub

synthetic-wav-sample

jfriisj

Generate a tiny non-sensitive WAV file using only the Python standard library. Use for deterministic smoke tests without committing real user audio.

GitHub

gif-analyzer

laststance

Analyze animated GIF files by extracting and viewing frames as sequential video. Use when: - User mentions a GIF file path (e.g., "./demo.gif", "~/Downloads/animation.gif") - User wants to analyze or understan...

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。

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