Delete partial_datasets/copy_images.py with huggingface_hub

partial_datasets/copy_images.py

@@ -1,54 +0,0 @@
-import json
-import shutil
-from pathlib import Path
-
-# Define target directory where JSON files are located
-target_dir = Path("/home/jiaxin/VLM-Gym/current/inference/inference_dataset/partial_datasets/zoomin")
-
-# Find all JSON files
-json_files = list(target_dir.rglob("initial_state.json"))
-print(f"Found {len(json_files)} JSON files")
-
-# Track copied images to avoid duplicates
-copied_images = set()
-copied_count = 0
-missing_count = 0
-
-for json_file in json_files:
-    # Read the JSON file
-    with open(json_file, 'r') as f:
-        data = json.load(f)
-    
-    # Get the image path
-    if 'image_name' in data:
-        image_path = Path(data['image_name'])
-        
-        # Check if image exists
-        if not image_path.exists():
-            print(f"Warning: Image not found: {image_path}")
-            missing_count += 1
-            continue
-        
-        # Get the image filename
-        image_filename = image_path.name
-        
-        # Skip if we've already copied this image
-        if image_filename in copied_images:
-            continue
-        
-        # Copy the image to target directory
-        target_image_path = target_dir / image_filename
-        try:
-            shutil.copy2(image_path, target_image_path)
-            copied_images.add(image_filename)
-            copied_count += 1
-            if copied_count % 10 == 0:
-                print(f"Copied {copied_count} images...")
-        except Exception as e:
-            print(f"Error copying {image_path}: {e}")
-            missing_count += 1
-
-print(f"\nDone! Copied {copied_count} unique images to {target_dir}")
-if missing_count > 0:
-    print(f"Warning: {missing_count} images were missing or had errors")
-