minor changes

download_occufly.py

@@ -1,188 +0,0 @@
-#!/usr/bin/env python3
-"""
-Simple script to download OccuFly dataset from Hugging Face Hub.
-
-Downloads scene zips, predicted depths, and extracts them locally.
-
-Usage:
-    python download_occufly.py
-    python download_occufly.py --split train
-    python download_occufly.py --split validation
-    python download_occufly.py --scenes 1 2 3
-    python download_occufly.py --include_depth_predictions
-    python download_occufly.py --only_depth_predictions
-    python download_occufly.py --output ./my_data
-"""
-
-import sys
-from pathlib import Path
-import zipfile
-import argparse
-
-try:
-    from huggingface_hub import hf_hub_download
-    from tqdm import tqdm
-except ImportError:
-    print("Error: Required packages not installed.")
-    print("Install with: pip install huggingface-hub tqdm")
-    sys.exit(1)
-
-
-class OccuFlyDownloader:
-    """Download OccuFly dataset from HF Hub."""
-    
-    DATASET_ID = "markus-42/OccuFly"
-    SCENES = list(range(1, 10))
-    SPLITS = {
-        "train": [1, 2, 3, 4, 5],
-        "validation": [6, 7],
-        "test": [8, 9]
-    }
-    
-    def __init__(self, output_dir="./OccuFly", dataset_id=None):
-        self.output_dir = Path(output_dir)
-        self.dataset_id = dataset_id or self.DATASET_ID
-        self.output_dir.mkdir(parents=True, exist_ok=True)
-    
-    def download_scene(self, scene_num):
-        """Download a scene zip."""
-        if scene_num not in range(1, 10):
-            raise ValueError(f"Invalid scene {scene_num}. Must be 1-9.")
-        
-        scene_name = f"scene_{scene_num:02d}"
-        filename = f"OccuFly_Dataset/{scene_name}.zip"
-        
-        print(f"\n[DOWNLOAD] {scene_name}...")
-        
-        try:
-            zip_path = hf_hub_download(
-                repo_id=self.dataset_id,
-                filename=filename,
-                repo_type="dataset"
-            )
-            
-            print(f"[EXTRACT] Extracting {scene_name}...")
-            with zipfile.ZipFile(zip_path, 'r') as z:
-                z.extractall(self.output_dir)
-            
-            print(f"[OK] Scene extracted to: {self.output_dir / scene_name}")
-            return True
-        
-        except Exception as e:
-            print(f"[ERROR] Failed to download {scene_name}: {e}")
-            return False
-    
-    def download_depth_predictions(self):
-        """Download predicted depth maps."""
-        filename = "OccuFly_Predicted_DepthMaps/OccuFly_Predicted_DepthMaps.zip"
-        
-        print(f"\n[DOWNLOAD] Predicted depth maps...")
-        
-        try:
-            zip_path = hf_hub_download(
-                repo_id=self.dataset_id,
-                filename=filename,
-                repo_type="dataset"
-            )
-            
-            print(f"[EXTRACT] Extracting...")
-            with zipfile.ZipFile(zip_path, 'r') as z:
-                z.extractall(self.output_dir)
-            
-            print(f"[OK] Predictions extracted to: {self.output_dir}")
-            return True
-        
-        except Exception as e:
-            print(f"[ERROR] Failed to download predictions: {e}")
-            return False
-
-
-def main():
-    parser = argparse.ArgumentParser(
-        description="Download OccuFly dataset from Hugging Face Hub"
-    )
-    parser.add_argument(
-        "--split",
-        choices=["train", "validation", "test"],
-        help="Download a specific split (default: all splits)"
-    )
-    parser.add_argument(
-        "--scenes",
-        type=int,
-        nargs="+",
-        choices=range(1, 10),
-        help="Scenes to download (default: all 1-9). Overrides --split if specified."
-    )
-    parser.add_argument(
-        "--include_depth_predictions",
-        action="store_true",
-        help="Include predicted depth maps in download"
-    )
-    parser.add_argument(
-        "--only_depth_predictions",
-        action="store_true",
-        help="Download only predicted depth maps"
-    )
-    parser.add_argument(
-        "--output",
-        default="./OccuFly",
-        help="Output directory (default: ./OccuFly)"
-    )
-    parser.add_argument(
-        "--dataset-id",
-        default="markus-42/OccuFly",
-        help="HF dataset ID"
-    )
-    
-    args = parser.parse_args()
-    
-    print("=" * 80)
-    print("OccuFly Dataset Downloader")
-    print("=" * 80)
-    
-    downloader = OccuFlyDownloader(
-        output_dir=args.output,
-        dataset_id=args.dataset_id
-    )
-    
-    success = True
-    
-    if args.only_depth_predictions:
-        success = downloader.download_depth_predictions()
-    else:
-        # Determine which scenes to download
-        if args.scenes:
-            # Explicit scenes take precedence
-            scenes = args.scenes
-        elif args.split:
-            # Download specific split
-            scenes = downloader.SPLITS[args.split]
-        else:
-            # Default: all scenes
-            scenes = list(range(1, 10))
-        
-        print(f"\n[INFO] Downloading {len(scenes)} scenes...")
-        print(f"[INFO] Output directory: {downloader.output_dir}")
-        
-        for scene_num in scenes:
-            if not downloader.download_scene(scene_num):
-                success = False
-        
-        # Download depth predictions if requested
-        if args.include_depth_predictions:
-            downloader.download_depth_predictions()
-    
-    print("\n" + "=" * 80)
-    if success:
-        print(f"[OK] Download complete!")
-        print(f"Data saved to: {downloader.output_dir}")
-    else:
-        print("[ERROR] Some downloads failed")
-    
-    print("=" * 80)
-    
-    sys.exit(0 if success else 1)
-
-
-if __name__ == "__main__":
-    main()