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README.md
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@@ -154,26 +154,6 @@ The model was trained using an innovative multi-resolution approach:
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- **Training duration**: 3+ epochs with multi-resolution scaling
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- **Final resolution**: 512x512 pixels
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## 🛠️ Requirements
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- **Python 3.11.9 specifically** (newer versions are incompatible)
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- PyTorch 1.10+
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- Streamlit
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- PIL/Pillow
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- NumPy
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## 🔧 Usage
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Setup the application and game by executing `setup.bat`. This installs the required virtual environment:
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- Upload your own images or select from example images
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- Choose different threshold profiles
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- Adjust category-specific thresholds
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- View predictions organized by category
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- Filter and sort tags based on confidence
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Use run_app.bat and run_game.bat.
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## 🎮 Tag Collector Game (Camie Collector)
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Introducing a Tagging game - a gamified approach to anime image tagging that helps you understand the performance and limits of the model. This was a shower thought gone to far! Lots of Project Moon references.
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## 🧠 Training Details
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### Dataset
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- **Training duration**: 3+ epochs with multi-resolution scaling
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- **Final resolution**: 512x512 pixels
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## 🎮 Tag Collector Game (Camie Collector)
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Introducing a Tagging game - a gamified approach to anime image tagging that helps you understand the performance and limits of the model. This was a shower thought gone to far! Lots of Project Moon references.
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### 🛠️ Requirements
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+
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- **Python 3.11.9 specifically** (newer versions are incompatible)
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+
- PyTorch 1.10+
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+
- Streamlit
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+
- PIL/Pillow
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+
- NumPy
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+
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### 🔧 Usage
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+
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Setup the application and game by executing `setup.bat`. This installs the required virtual environment:
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+
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- Upload your own images or select from example images
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+
- Choose different threshold profiles
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+
- Adjust category-specific thresholds
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+
- View predictions organized by category
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+
- Filter and sort tags based on confidence
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+
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Use run_app.bat and run_game.bat.
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## 🧠 Training Details
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### Dataset
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