import os import json def check_image_paths(base_dir): # 需要检查的数据集文件夹列表 datasets = ["BlendPASS", "DeepAccident", "NuScenes"] json_files = ["train.json", "val.json"] total_missing = 0 missing_details = [] print(f"开始检查目录: {base_dir} ...\n") for dataset in datasets: dataset_dir = os.path.join(base_dir, dataset) if not os.path.exists(dataset_dir): print(f"⚠️ 警告: 找不到数据集目录 {dataset_dir}") continue for json_name in json_files: json_path = os.path.join(dataset_dir, json_name) if not os.path.exists(json_path): continue print(f"正在检查文件: {os.path.relpath(json_path, base_dir)} ...") with open(json_path, 'r', encoding='utf-8') as f: try: data = json.load(f) except json.JSONDecodeError: print(f"❌ 错误: JSON解析失败 {json_path}") continue missing_in_file = 0 # 假设json是一个列表,每个元素是一个含有 'image' 键的字典 if isinstance(data, list): for item in data: img_rel_path = item.get("image") if img_rel_path: # 相对路径是相对于当前 JSON 文件的路径 # '../../Panorama/DeepAccident/...' abs_img_path = os.path.abspath(os.path.join(os.path.dirname(json_path), img_rel_path)) if not os.path.exists(abs_img_path): missing_in_file += 1 total_missing += 1 missing_details.append(f"[{dataset}/{json_name}] 缺失: {os.path.relpath(abs_img_path, base_dir)} (原始字段: {img_rel_path})") if missing_in_file > 0: print(f" ❌ 发现缺失: {missing_in_file} 张图片无法访问。") else: print(f" ✅ 完美: 所有 {len(data)} 条数据的图片均存在!") print("-" * 50) print("\n================ 检查报告 ================") if total_missing == 0: print("🎉 恭喜!所有的 JSON 文件里的图片都能找到!") else: print(f"⚠️ 警告!总共发现了 {total_missing} 处图片缺失。") print("前 20 条缺失详情如下:") for detail in missing_details[:20]: print(f" - {detail}") if total_missing > 20: print(f" ... 以及其他 {total_missing - 20} 条。") # 将缺失文件保存为日志 log_path = os.path.join(base_dir, "missing_images.log") with open(log_path, 'w', encoding='utf-8') as lg: lg.write('\n'.join(missing_details)) print(f"\n📝 完整的缺失列表已保存至: {log_path}") if __name__ == "__main__": BASE_DIR = "/home/hk-project-pai00053/wd1434/programmes/PLM/PanoVQA/PanoVQA" check_image_paths(BASE_DIR)