YOLOX训练时出现'IndexError: list index out of range'错误解决方法

在使用YOLOX进行训练时，可能会遇到以下错误：

Exception ignored in: <function CacheDataset.__del__ at 0x7fde1cf77940>
Traceback (most recent call last):
  File "/home/yqc/learning/YOLO_SSD/YOLOX/YOLOX-main/YOLOX_main_s_2/yolox/data/datasets/datasets_wrapper.py", line 177, in __del__
    if self.cache and self.cache_type == "ram":
AttributeError: 'VOCDetection' object has no attribute 'cache'
2023-10-08 22:48:10 | ERROR    | yolox.core.launch:98 - An error has been caught in function 'launch', process 'MainProcess' (9741), thread 'MainThread' (140594455536000):
Traceback (most recent call last):

  File "tools/train.py", line 145, in <module>
    launch(
    └ <function launch at 0x7fde2b097280>

> File "/home/yqc/learning/YOLO_SSD/YOLOX/YOLOX-main/YOLOX_main_s_2/yolox/core/launch.py", line 98, in launch
    main_func(*args)
    │          └ (╒═══════════════════╤═══════════════════════════════════════════════════════════════════════════════════════════════════════...
    └ <function main at 0x7fde2b090e50>

  File "tools/train.py", line 125, in main
    trainer.train()
    │       └ <function Trainer.train at 0x7fde1d001040>
    └ <yolox.core.trainer.Trainer object at 0x7fde1cf4f9d0>

  File "/home/yqc/learning/YOLO_SSD/YOLOX/YOLOX-main/YOLOX_main_s_2/yolox/core/trainer.py", line 74, in train
    self.before_train()
    │    └ <function Trainer.before_train at 0x7fde1cf4b5e0>
    └ <yolox.core.trainer.Trainer object at 0x7fde1cf4f9d0>

  File "/home/yqc/learning/YOLO_SSD/YOLOX/YOLOX-main/YOLOX_main_s_2/yolox/core/trainer.py", line 149, in before_train
    self.train_loader = self.exp.get_data_loader(
    │                   │    │   └ <function Exp.get_data_loader at 0x7fde1cf44ee0>
    │                   │    └ ╒═══════════════════╤════════════════════════════════════════════════════════════════════════════════════════════════════════...
    │                   └ <yolox.core.trainer.Trainer object at 0x7fde1cf4f9d0>
    └ <yolox.core.trainer.Trainer object at 0x7fde1cf4f9d0>

  File "/home/yqc/learning/YOLO_SSD/YOLOX/YOLOX-main/YOLOX_main_s_2/yolox/exp/yolox_base.py", line 181, in get_data_loader
    self.dataset = self.get_dataset(cache=False, cache_type=cache_img)
    │    │         │    │                                   └ None
    │    │         │    └ <function Exp.get_dataset at 0x7fde1cf540d0>
    │    │         └ ╒═══════════════════╤════════════════════════════════════════════════════════════════════════════════════════════════════════...
    │    └ None
    └ ╒═══════════════════╤════════════════════════════════════════════════════════════════════════════════════════════════════════...

  File "/home/yqc/learning/YOLO_SSD/YOLOX/YOLOX-main/YOLOX_main_s_2/exps/example/yolox_voc/yolox_voc_s.py", line 27, in get_dataset
    return VOCDetection(
           └ <class 'yolox.data.datasets.voc.VOCDetection'>

  File "/home/yqc/learning/YOLO_SSD/YOLOX/YOLOX-main/YOLOX_main_s_2/yolox/data/datasets/voc.py", line 147, in __init__
    path_filename = [

  File "/home/yqc/learning/YOLO_SSD/YOLOX/YOLOX-main/YOLOX_main_s_2/yolox/data/datasets/voc.py", line 148, in <listcomp>
    str(self._imgpath % i).split(self.root + "\" )[1]
        │    │          │        │    └ '/home/yqc/learning/YOLO_SSD/YOLOX/YOLOX-main/YOLOX_main_s_2/datasets/VOCdevkit'
        │    │          │        └ <yolox.data.datasets.voc.VOCDetection object at 0x7fddfc0f0ee0>
        │    │          └ ('/home/yqc/learning/YOLO_SSD/YOLOX/YOLOX-main/YOLOX_main_s_2/datasets/VOCdevkit/VOC2007', 'inclusion_34')
        │    └ '%s/JPEGImages/%s.jpg'
        └ <yolox.data.datasets.voc.VOCDetection object at 0x7fddfc0f0ee0>

IndexError: list index out of range

这个错误的主要原因是在VOCDetection类的构造函数中，尝试访问一个列表的索引超出了范围。具体来说，在VOCDetection类的构造函数中的以下代码导致了错误：

path_filename = [
    str(self._imgpath % i).split(self.root + "\" )[1]
    for i in self.ids
]

这段代码在处理图像文件路径时出错，导致索引超出范围。可能的原因是数据集中的图像文件路径设置不正确或缺失某些文件。

为了解决这个问题，你可以检查以下几点：

1. 检查数据集文件路径是否正确设置。确保self._imgpath变量正确指向图像文件的路径。
2. 确保数据集中的每个图像文件都存在，并且路径正确。
3. 检查数据集的文件名列表self.ids是否正确设置，确保它包含了所有的图像文件名。

如果你仍然无法解决问题，可以尝试打印相关变量的值，以便更好地理解错误的原因。