File size: 2,538 Bytes
5767e72 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 | import json
import os
import argparse
import sys
def filter_missing_image(json_path, image_dir, output_path):
# 1. Validate inputs
if not os.path.exists(json_path):
print(f"! Error: Input JSON '{json_path}' not found.")
sys.exit(1)
if not os.path.isdir(image_dir):
print(f"! Error: Image directory '{image_dir}' not found.")
sys.exit(1)
# 2. Load the original data
try:
with open(json_path, 'r') as f:
data = json.load(f)
except json.JSONDecodeError:
print(f"! Error: Failed to decode JSON from '{json_path}'.")
sys.exit(1)
missing_entries = []
print(f"Scanning {len(data)} entries against '{image_dir}'...")
# 3. Check each entry
for entry in data:
# Adjust key if your json uses something other than 'image_name'
image_name = entry.get('image_name', '')
if not image_name:
continue
# Construct full path
expected_image_path = os.path.join(image_dir, image_name)
# 4. If image file is NOT found, add the whole entry to our list
if not os.path.exists(expected_image_path):
# Optional: Print the specific missing file for debugging
# print(f"Missing: {image_name}")
missing_entries.append(entry)
# 5. Save the missing entries to a new file
if missing_entries:
with open(output_path, 'w') as f:
json.dump(missing_entries, f, indent=4)
print(f"\n ! Found {len(missing_entries)} missing images.")
print(f"Data for missing entries saved to: {output_path}")
else:
print("\nOK! All images exist! No missing entries found.")
if __name__ == "__main__":
parser = argparse.ArgumentParser(
description="Check if the image suite is consistent with the VBench JSON."
)
# Positional arguments
parser.add_argument(
"json_path",
type=str,
help="Path to the original JSON file (e.g., vbench2_i2v_full_info.json)"
)
parser.add_argument(
"image_dir",
type=str,
help="Path to the directory containing the downloaded image suite"
)
# Optional argument
parser.add_argument(
"--output",
type=str,
default="inconsistent_image_suite.json",
help="Path to save the missing entries JSON (default: inconsistent_image_suite.json)"
)
args = parser.parse_args()
filter_missing_image(args.json_path, args.image_dir, args.output) |