HolisticOCR/yvttrans.py

import os
import json
import shutil

# 📂 **路径配置**
ANNOTATION_DIR = r"C:\Users\yang2\Desktop\YVT\holisticOcrYvt"
VIDEO_DIR = r"C:\Users\yang2\Desktop\YVT\YVT\videos\test"
VIDEO_DST_DIR = r"C:\Users\yang2\Desktop\BenchMark\HolisticOCR\Videos1"
ANNOTATION_OUTPUT_PATH = r"C:\Users\yang2\Desktop\BenchMark\HolisticOCR\holisticOCRTest1.json"

# 确保目标路径存在
os.makedirs(VIDEO_DST_DIR, exist_ok=True)

def process_files(annotation_dir, video_dir, video_dst_dir, output_json):
    """
    处理 YVT 数据集，将视频和标注文件统一重命名并合并 JSON 标注。
    """
    combined_annotations = []
    question_id = 551

    # 如果文件已存在，先读取已有标注，防止覆盖
    if os.path.exists(output_json):
        with open(output_json, 'r', encoding='utf-8') as f:
            combined_annotations = json.load(f)
        existing_ids = {qa['question_id'] for qa in combined_annotations}
        question_id = max(existing_ids) + 1 if existing_ids else 551

    for file in os.listdir(annotation_dir):
        if file.endswith(".json"):
            annotation_path = os.path.join(annotation_dir, file)
            
            # 去掉.mp4_holisticOcr后缀，匹配视频名
            video_base_name = file.replace(".mp4_holisticOcr.json", "")
            video_src = os.path.join(video_dir, f"{video_base_name}.mp4")
            video_dst = os.path.join(video_dst_dir, f"video_{question_id}.mp4")

            if os.path.exists(video_src):
                # 1️⃣ **复制并重命名视频**
                shutil.copy(video_src, video_dst)
                print(f"✅ Video copied: {video_src} -> {video_dst}")

                # 2️⃣ **读取 JSON 标注**
                with open(annotation_path, 'r', encoding='utf-8') as f:
                    annotation_data = json.load(f)
                
                text_content = annotation_data.get('answer', '')
                text_answer = " ".join(text_content.split())  # 确保文本格式统一

                # 3️⃣ **生成新的 JSON 标注**
                annotation_entry = {
                    "video_id": f"video_{question_id}",
                    "question": "请给出视频中所有文本内容。",
                    "answer": text_answer,
                    "type": "holisticOCR",
                    "source": video_base_name,
                    "question_id": question_id
                }
                combined_annotations.append(annotation_entry)
                print(f"✅ Annotation added: video_{question_id}, source: {video_base_name}")
                question_id += 1
            else:
                print(f"⚠️ Video not found: {video_src}")
    
    # 4️⃣ **保存合并后的 JSON 文件**
    with open(output_json, 'w', encoding='utf-8') as out_f:
        json.dump(combined_annotations, out_f, ensure_ascii=False, indent=4)
    
    print(f"🎯 Annotations updated and saved to {output_json}")


if __name__ == "__main__":
    try:
        process_files(ANNOTATION_DIR, VIDEO_DIR, VIDEO_DST_DIR, ANNOTATION_OUTPUT_PATH)
        print("🚀 YVT Holistic OCR Benchmark 数据集重命名与整合完成！")
    except Exception as e:
        print(f"❌ 发生错误: {e}")