Video Watermark Remover Github

  • License: MIT for code; dataset usage governed by source licenses.
  • Installation: pip/conda, Dockerfile for reproducible environment.
  • Usage:
  • Reproducibility: training config files, seeds, and evaluation scripts included.

    • Let’s assume you are a developer using the Watermark-Removal repository (PyTorch based).

    Step 1: Setup You need Python 3.8+, CUDA (NVIDIA GPU), and Git. video watermark remover github

    git clone https://github.com/ZHYI-Group/Watermark-Removal.git
cd Watermark-Removal
pip install -r requirements.txt

    Step 2: Prepare your Data AI models need a mask. You must tell the script where the logo is. License: MIT for code; dataset usage governed by

    Step 3: Run Inference

    python test.py --video your_video.mp4 --mask mask.png --output clean_video.mp4

    The AI will look at the white area on the mask, cut it out, and "guess" the background. Let’s assume you are a developer using the

    | Feature | Commercial Tools (e.g., HitPaw) | GitHub Repos | | :--- | :--- | :--- | | Cost | $30–$100/month | Free (Open Source) | | Ease of Use | Drag and drop | Command line / Coding required | | Quality | Average (Blur-heavy) | Excellent (AI Inpainting) | | Privacy | Uploads to their server | Runs 100% offline (Secure) | | Safety Nets | Warns about copyright | No warnings; pure power |