Python报错:IOError: image file is truncatedfrom PIL import ImageFile ImageFile.LOAD_TRUNCATED_IMAGE

本文介绍了一种常见的图像处理错误“IOError:imagefileistruncated”,并提供了一个简单的解决方案,通过添加两行代码即可避免图像文件被截断的问题。

摘要生成于 C知道 ,由 DeepSeek-R1 满血版支持, 前往体验 >

IOError:image file is truncated.

报错原因:图像文件被截断;

解决办法:添加两行代码就可以轻松解决:

from PIL import ImageFile
ImageFile.LOAD_TRUNCATED_IMAGES = True

 

in: /root/ultralytics/ultralytics/cfg/dataset01/images/train/IMG_20250513_163434.jpg: ignoring corrupt image/label: image file is truncated (68 bytes not processed) train: /root/ultralytics/ultralytics/cfg/dataset01/images/train/IMG_20250513_164604.jpg: ignoring corrupt image/label: image file is truncated (48 bytes not processed) train: /root/ultralytics/ultralytics/cfg/dataset01/images/train/IMG_20250513_170047.jpg: ignoring corrupt image/label: image file is truncated (183 bytes not processed) Traceback (most recent call last): File "/root/ultralytics/ultralytics/train.py", line 11, in <module> model.train( # 调用训练方法,开始模型训练 File "/root/ultralytics/ultralytics/engine/model.py", line 797, in train self.trainer.train() File "/root/ultralytics/ultralytics/engine/trainer.py", line 227, in train self._do_train(world_size) File "/root/ultralytics/ultralytics/engine/trainer.py", line 348, in _do_train self._setup_train(world_size) File "/root/ultralytics/ultralytics/engine/trainer.py", line 307, in _setup_train self.train_loader = self.get_dataloader( ^^^^^^^^^^^^^^^^^^^^ File "/root/ultralytics/ultralytics/models/yolo/detect/train.py", line 83, in get_dataloader dataset = self.build_dataset(dataset_path, mode, batch_size) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/ultralytics/ultralytics/models/yolo/detect/train.py", line 66, in build_dataset return build_yolo_dataset(self.args, img_path, batch, self.data, mode=mode, rect=mode == "val", stride=gs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/ultralytics/ultralytics/data/build.py", line 117, in build_yolo_dataset return dataset( ^^^^^^^^ File "/root/ultralytics/ultralytics/data/dataset.py", line 88, in __init__ super().__init__(*args, channels=self.data["channels"], **kwargs) File "/root/ultralytics/ultralytics/data/base.py", line 116, in __init__ self.labels = self.get_labels() ^^^^^^^^^^^^^^^^^ File "/root/ultralytics/ultralytics/data/dataset.py", line 188, in get_labels raise RuntimeError( RuntimeError: No valid images found in /root/ultralytics/ultralytics/cfg/dataset01/labels/train.cache. Images with incorrectly formatted labels are ignored. See https://docs.ultralytics.com/datasets for dataset formatting guidance. 如何解决?
06-07
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值