RELEASE_NOTES_v1.0.0.md

# Release Notes - Video Classification Dataset v1.0.0

## 🎉 Initial Release

This is the first stable release of the Video Classification Dataset project - a comprehensive toolkit for organizing, processing, and managing video datasets for machine learning applications.

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## ✨ Features

### Core Functionality
- **Dataset Organization**: Automatic train/test/validation splits (70/20/10)
- **Video Processing**: Resize, format conversion, and validation utilities
- **Frame Extraction**: Extract frames at configurable intervals
- **Dataset Management**: Tools for adding, organizing, and managing videos
- **Metadata Generation**: Automatic metadata creation for datasets

### Categories Supported
- Action
- Comedy
- Drama
- Sports
- Documentary
- News
- Music
- Education

### Scripts Included
- `organize_dataset.py` - Organize videos into train/test/validation splits
- `process_videos.py` - Process videos (resize, convert, validate)
- `extract_frames.py` - Extract frames from videos
- `add_videos.py` - Add videos to dataset (interactive & batch modes)
- `create_sample_metadata.py` - Generate metadata files
- `download_sample_data.py` - Helper for dataset setup

### Utilities
- `video_utils.py` - Video processing functions
- `dataset_utils.py` - Dataset management functions
- `advanced_features.py` - Advanced video processing features
- `unique_features.py` - Unique dataset utilities

### Examples
- `classification_example.py` - Video classification example
- `video_loader_example.py` - Video loading and processing examples

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## 🐛 Bug Fixes

- ✅ Fixed division by zero errors when FPS is 0 or invalid
- ✅ Added proper error handling for config file loading
- ✅ Improved VideoWriter validation checks
- ✅ Enhanced file operation error handling with try-except blocks
- ✅ Fixed potential issues with os.path.dirname() on empty paths

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## 📚 Documentation

- Comprehensive README with setup instructions
- Quick Start Guide (QUICK_START.md)
- Usage Guide (USAGE.md)
- Dataset Guide (DATASET_GUIDE.md)
- Contribution Guidelines (CONTRIBUTING.md)
- Project Information (PROJECT_INFO.md)

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## 🔧 Technical Details

### Requirements
- Python >= 3.8
- OpenCV >= 4.8.0
- NumPy >= 1.24.0
- PyYAML >= 6.0
- tqdm >= 4.66.0
- And more (see requirements.txt)

### Configuration
- YAML-based configuration (config.yaml)
- Customizable video formats, processing parameters, and dataset splits

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## 👥 Credits

**Author**: Molla Samser
**Designer & Tester**: Rima Khatun
**Website**: https://rskworld.in
**Email**: help@rskworld.in, support@rskworld.in
**Phone**: +91 93305 39277
**Organization**: RSK World

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## 📄 License

See LICENSE file for details.

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## 🚀 Getting Started

```bash
# Clone the repository
git clone https://github.com/rskworld/video-classification.git
cd video-classification

# Install dependencies
pip install -r requirements.txt

# Organize your dataset
python scripts/organize_dataset.py --input raw_videos --output data
```

For more information, see the [Quick Start Guide](QUICK_START.md).

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**Release Date**: January 2025
**Version**: 1.0.0
**Status**: Stable