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readme.md
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# 🎬 BackgroundFX Pro — Professional Video Background Replacement
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**BackgroundFX Pro** is an advanced video background replacement app built for **Hugging Face Spaces (GPU)**.
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It combines cutting-edge AI segmentation and matting models with a simple Gradio UI:
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- **[SAM2](https://huggingface.co/facebook/sam2)** → high-quality object segmentation (first frame or image prompts).
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- **[MatAnyone](https://huggingface.co/PeiqingYang/MatAnyone)** → temporal video matting with consistent alpha masks.
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- **Rembg fallback** → ensures every video can be processed, even if models fail.
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👉 The result: **fast, stable, professional-grade background replacement** — ideal for content creators, streamers, and marketing.
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---
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## ✨ Features
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- 🎥 Upload any video and replace its background with:
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- Solid colors
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- AI-generated images
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- Custom uploaded backgrounds
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- ⚡ GPU-optimized (Tesla T4 / CUDA 12.x)
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- 🧩 Model pre-warm for faster startup
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- 🛡️ Fallback pipeline so you *never lose frames*
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- 📂 Persistent caching in `/data/.cache` for Hugging Face Spaces
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---
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## 🚀 Try it on Hugging Face Spaces
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[**▶ Open BackgroundFX Pro on Hugging Face**](https://huggingface.co/spaces/your-username/BackgroundFX-Pro)
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No installation required — runs directly in your browser with GPU acceleration.
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---
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## 🛠️ Developer Notes
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### Local Development (with Docker)
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Clone the repo and build locally:
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```bash
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git clone https://huggingface.co/spaces/your-username/BackgroundFX-Pro
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cd BackgroundFX-Pro
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# Build container (CUDA 12.3 base, Python 3.10, Torch 2.3.1+cu121)
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docker build -t backgroundfx-pro .
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# Run locally
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docker run --gpus all -p 7860:7860 backgroundfx-pro
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app/ # Main Gradio app (app.py + utils + models)
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third_party/ # External model repos (SAM2, MatAnyone)
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requirements.txt # Python deps (beyond torch/cu121)
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Dockerfile # Container build (for HF Spaces + local)
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.dockerignore # Excludes junk/test files from image
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---
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✨ This way:
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- HF visitors see **what it does** + a **button to try it**.
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- Devs get copy-paste **Docker build/run** instructions.
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- You highlight SAM2 + MatAnyone, but also note fallbacks and HF infra.
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---
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Do you want me to also **make a lightweight “banner image”** (e.g. 1200×400, LinkedIn-style) for the top of the README so the Space looks polished?
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