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#!/usr/bin/env python3
"""
DEIM Dataset Visualization Entry Point
Copyright (c) 2024 The DEIM Authors. All Rights Reserved.
Simple script to launch the dataset visualizer for any configured dataset.
"""
import os
import sys
import argparse
from pathlib import Path
# Add project root to Python path
project_root = Path(__file__).parent
sys.path.insert(0, str(project_root))
from tools.visualization.dataset_visualizer import DatasetVisualizer
def list_available_configs():
"""List all available dataset configuration files."""
config_dir = project_root / "configs" / "dataset"
if not config_dir.exists():
print("No dataset configurations found.")
return []
configs = list(config_dir.glob("*.yml"))
print("\nAvailable dataset configurations:")
for i, config in enumerate(configs, 1):
print(f" {i:2d}. {config.stem}")
return configs
def main():
"""Main entry point for dataset visualization."""
parser = argparse.ArgumentParser(
description='DEIM Dataset Visualizer - Interactive dataset browser with OpenCV',
formatter_class=argparse.RawDescriptionHelpFormatter,
epilog="""
Examples:
python visualize_dataset.py coco_detection # Visualize COCO dataset (train split)
python visualize_dataset.py coco_detection --split val # Visualize COCO dataset (val split)
python visualize_dataset.py --list # List all available configurations
python visualize_dataset.py drone_detection --start-index 100 # Start from sample 100
# Or use full path to config file:
python visualize_dataset.py configs/dataset/custom_detection.yml
"""
)
parser.add_argument('config', nargs='?', help='Dataset configuration name or path to YAML file')
parser.add_argument('--split', choices=['train', 'val'], default='train',
help='Dataset split to visualize (default: train)')
parser.add_argument('--start-index', type=int, default=0,
help='Starting index for visualization (default: 0)')
parser.add_argument('--list', action='store_true',
help='List available dataset configurations')
args = parser.parse_args()
# Handle list option
if args.list:
list_available_configs()
return
# Validate config argument
if not args.config:
print("Error: Please specify a dataset configuration.")
print("Use --list to see available configurations.")
return
# Determine config file path
if args.config.endswith('.yml') or args.config.endswith('.yaml'):
# Full path provided
config_path = args.config
else:
# Configuration name provided
config_path = project_root / "configs" / "dataset" / f"{args.config}.yml"
# Validate config file exists
if not os.path.exists(config_path):
print(f"Error: Configuration file '{config_path}' not found")
print("\nAvailable configurations:")
list_available_configs()
return
# Print information
print("=" * 60)
print("DEIM Dataset Visualizer")
print("=" * 60)
print(f"Configuration: {config_path}")
print(f"Split: {args.split}")
print(f"Starting index: {args.start_index}")
print()
try:
# Create and run visualizer
visualizer = DatasetVisualizer(str(config_path), args.split)
# Validate starting index
if args.start_index >= len(visualizer.dataset):
print(f"Warning: Start index {args.start_index} is out of range. Using 0.")
args.start_index = 0
visualizer.current_index = args.start_index
visualizer.run()
except KeyboardInterrupt:
print("\nVisualization interrupted by user.")
except Exception as e:
print(f"Error: {e}")
print("\nTip: Make sure the dataset paths in the configuration file are correct")
print(" and that all required dependencies are installed.")
if __name__ == '__main__':
main()
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