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RSK World
environmental-sounds
RSK World
environmental-sounds
Environmental Sound Dataset - Audio Classification + Sound Event Detection + Deep Learning + Machine Learning
environmental-sounds
  • environmental-sounds
  • examples
  • .gitignore844 B
  • ADVANCED_FEATURES.md8.3 KB
  • CONTRIBUTING.md1.7 KB
  • CREATE_RELEASE.md5.1 KB
  • DATASET_STRUCTURE.md3.5 KB
  • LICENSE1.5 KB
  • PROJECT_SUMMARY.md5 KB
  • README.md5.9 KB
  • RELEASE_NOTES.md4.8 KB
  • analyze.py6.9 KB
  • api_server.py8.1 KB
  • audio_quality.py10.2 KB
  • audio_similarity.py10.4 KB
  • augment_audio.py10.9 KB
  • batch_processing.py11.3 KB
  • create_dataset_structure.py4.8 KB
  • create_sample_data.py4.3 KB
  • create_zip.py3.8 KB
  • deep_learning_models.py13.2 KB
  • environmental-sounds.zip50.1 KB
  • example_usage.py5 KB
  • index.html26.9 KB
  • load_data.py4.9 KB
  • model_interpretability.py10.3 KB
  • realtime_classification.py9.6 KB
  • requirements.txt475 B
  • setup.py1.7 KB
  • train_model.py7.8 KB
  • verify_project.py5.3 KB
.gitignoreverify_project.py
.gitignore
Raw Download
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# Environmental Sound Dataset - Git Ignore
# Project: Environmental Sound Dataset
# Website: https://rskworld.in
# Founded by: Molla Samser
# Designer & Tester: Rima Khatun
# Email: help@rskworld.in
# Phone: +91 93305 39277

# Python
__pycache__/
*.py[cod]
*$py.class
*.so
.Python
env/
venv/
ENV/
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
*.egg-info/
.installed.cfg
*.egg

# Jupyter Notebook
.ipynb_checkpoints
*.ipynb_checkpoints

# Models
models/
*.pkl
*.h5
*.hdf5
*.model

# Dataset files (large files)
*.wav
*.mp3
*.flac
*.zip
environmental-sounds/train/
environmental-sounds/test/

# IDE
.vscode/
.idea/
*.swp
*.swo
*~

# OS
.DS_Store
Thumbs.db

# Logs
*.log

# Matplotlib
*.png
*.jpg
*.jpeg
!environmental-sounds.png

73 lines•844 B
text
verify_project.py
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"""
Verify Complete Project Structure

Project: Environmental Sound Dataset
Website: https://rskworld.in
Founded by: Molla Samser
Designer & Tester: Rima Khatun
Email: help@rskworld.in
Phone: +91 93305 39277
"""

import os
from pathlib import Path


def verify_project():
    """Verify all project files and structure."""
    
    print("Environmental Sound Dataset - Project Verification")
    print("=" * 60)
    print()
    
    # Core Python modules
    core_modules = [
        'load_data.py',
        'analyze.py',
        'train_model.py',
        'augment_audio.py',
        'deep_learning_models.py',
        'audio_similarity.py',
        'realtime_classification.py',
        'model_interpretability.py',
        'audio_quality.py',
        'api_server.py',
        'batch_processing.py'
    ]
    
    # Documentation files
    docs = [
        'README.md',
        'ADVANCED_FEATURES.md',
        'DATASET_STRUCTURE.md',
        'CONTRIBUTING.md',
        'LICENSE',
        'PROJECT_SUMMARY.md'
    ]
    
    # Configuration files
    config = [
        'requirements.txt',
        'setup.py',
        '.gitignore'
    ]
    
    # Utility scripts
    utilities = [
        'example_usage.py',
        'create_dataset_structure.py',
        'create_sample_data.py',
        'create_zip.py',
        'verify_project.py'
    ]
    
    # Web files
    web = [
        'index.html'
    ]
    
    # Examples
    examples = [
        'examples/data_exploration.ipynb'
    ]
    
    # Dataset structure
    dataset_dirs = [
        'environmental-sounds/train/bird',
        'environmental-sounds/train/car',
        'environmental-sounds/train/dog',
        'environmental-sounds/train/rain',
        'environmental-sounds/train/wind',
        'environmental-sounds/test/bird',
        'environmental-sounds/test/car',
        'environmental-sounds/test/dog',
        'environmental-sounds/test/rain',
        'environmental-sounds/test/wind'
    ]
    
    dataset_files = [
        'environmental-sounds/metadata.csv',
        'environmental-sounds/README.txt'
    ]
    
    all_files = {
        'Core Modules': core_modules,
        'Documentation': docs,
        'Configuration': config,
        'Utility Scripts': utilities,
        'Web Files': web,
        'Examples': examples
    }
    
    # Check files
    print("Checking Files:")
    print("-" * 60)
    
    total_files = 0
    missing_files = []
    
    for category, files in all_files.items():
        print(f"\n{category}:")
        for file in files:
            if os.path.exists(file):
                size = os.path.getsize(file)
                print(f"  [OK] {file} ({size:,} bytes)")
                total_files += 1
            else:
                print(f"  [MISSING] {file}")
                missing_files.append(file)
    
    # Check dataset structure
    print("\n" + "-" * 60)
    print("Dataset Structure:")
    print("-" * 60)
    
    dataset_exists = os.path.exists('environmental-sounds')
    if dataset_exists:
        print("  [OK] environmental-sounds/ directory exists")
        
        for dir_path in dataset_dirs:
            if os.path.exists(dir_path):
                print(f"  [OK] {dir_path}/")
            else:
                print(f"  [MISSING] {dir_path}/")
                missing_files.append(dir_path)
        
        for file_path in dataset_files:
            if os.path.exists(file_path):
                size = os.path.getsize(file_path)
                print(f"  [OK] {file_path} ({size:,} bytes)")
                total_files += 1
            else:
                print(f"  [MISSING] {file_path}")
                missing_files.append(file_path)
    else:
        print("  [MISSING] environmental-sounds/ directory")
        missing_files.append('environmental-sounds/')
    
    # Check ZIP file
    print("\n" + "-" * 60)
    print("ZIP File:")
    print("-" * 60)
    
    zip_file = 'environmental-sounds.zip'
    if os.path.exists(zip_file):
        size = os.path.getsize(zip_file)
        size_mb = size / (1024 * 1024)
        print(f"  [OK] {zip_file} exists")
        print(f"    Size: {size:,} bytes ({size_mb:.2f} MB)")
        total_files += 1
    else:
        print(f"  [MISSING] {zip_file}")
        missing_files.append(zip_file)
    
    # Summary
    print("\n" + "=" * 60)
    print("VERIFICATION SUMMARY")
    print("=" * 60)
    print(f"Total files checked: {total_files}")
    print(f"Missing files: {len(missing_files)}")
    
    if missing_files:
        print("\nMissing files:")
        for file in missing_files:
            print(f"  - {file}")
    else:
        print("\n[SUCCESS] All files present!")
    
    print("\n" + "=" * 60)
    print("Project Structure Complete!")
    print("=" * 60)
    print("\nNext steps:")
    print("1. Add actual audio files to environmental-sounds/train/ and test/ directories")
    print("2. Update metadata.csv if needed")
    print("3. Test the modules: python example_usage.py")
    print("4. Start API server: python api_server.py")
    print("\nFor questions:")
    print("  Website: https://rskworld.in")
    print("  Email: help@rskworld.in")
    print("  Phone: +91 93305 39277")


if __name__ == '__main__':
    verify_project()

195 lines•5.3 KB
python

About RSK World

Founded by Molla Samser, with Designer & Tester Rima Khatun, RSK World is your one-stop destination for free programming resources, source code, and development tools.

Founder: Molla Samser
Designer & Tester: Rima Khatun

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