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# 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'
)
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