dataset/make_jsonl.py

# import os
# import json

# image_dir = "/media2/user/data/wxy/ControlAR_old/data/Captioned_ADE20K/train/image"
# jsonl_path = "/media2/user/data/wxy/ControlAR_old/data/Captioned_ADE20K/train/train.jsonl"

# with open(jsonl_path, "w") as f:
#     for filename in sorted(os.listdir(image_dir)):
#         if filename.endswith(".png"):
#             img_path = os.path.join(image_dir, filename)
#             entry = {
#                 "image_path": img_path
#             }
#             f.write(json.dumps(entry) + "\n")
import os
import json
from PIL import Image
from tqdm import tqdm

def generate_jsonl_from_folder(
    image_dir,
    output_jsonl_path,
    code_dir_name='code',
    caption_emb_dir_name='caption_emb',
    control_dir_name='control',
    label_dir_name='label'
):
    """
    自动从 image 文件夹构建 .jsonl 文件，记录 image_path 和 code_name
    适配 Text2ImgDataset 类的数据读取格式
    """
    image_files = sorted([f for f in os.listdir(image_dir) if f.endswith('.png')])
    parent_dir = os.path.basename(os.path.normpath(image_dir))  # 通常为 'train'

    with open(output_jsonl_path, 'w') as f:
        for file in tqdm(image_files, desc="Generating .jsonl"):
            image_path = os.path.join(image_dir, file)
            code_name = os.path.splitext(file)[0]  # 文件名去掉扩展名

            # 检查其他文件是否都存在
            code_path = os.path.join(os.path.dirname(image_dir), code_dir_name, f"{code_name}.npy")
            caption_emb_path = os.path.join(os.path.dirname(image_dir), caption_emb_dir_name, f"{code_name}.npz")
            control_path = os.path.join(os.path.dirname(image_dir), control_dir_name, f"{code_name}.png")
            label_path = os.path.join(os.path.dirname(image_dir), label_dir_name, f"{code_name}.png")

            if not (os.path.exists(code_path) and os.path.exists(caption_emb_path)
                    and os.path.exists(control_path) and os.path.exists(label_path)):
                print(f"⚠️ 缺失对应文件: {code_name}")
                continue

            data = {
                "image_path": image_path,
                "code_name": int(code_name)  # 保证仍然为数字编号
            }
            f.write(json.dumps(data) + '\n')

    print(f"✅ 成功生成: {output_jsonl_path}")


if __name__ == '__main__':
    # 示例路径（按需修改）
    root_dir = '/media2/user/data/wxy/ControlAR_old/data/Captioned_ADE20K/train'
    image_dir = os.path.join(root_dir, 'image')
    output_jsonl = os.path.join(root_dir, 'train_to_use.jsonl')

    generate_jsonl_from_folder(
        image_dir=image_dir,
        output_jsonl_path=output_jsonl,
        code_dir_name='code',
        caption_emb_dir_name='caption_emb',
        control_dir_name='control',
        label_dir_name='label'
    )