Traceback (most recent call last): File "C:\Users\lenovo\Desktop\yolov5-7.0\yolov5-7.0\detect.py", line 35, in <module>

There was an error in the detect.py file on line 35. Without more information, it is difficult to determine the exact cause of the error. Please provide more context or the full error message for further assistance.

相关问题

YOLOv5s summary: 224 layers, 7062001 parameters, 0 gradients Traceback (most recent call last): File "D:/desktop/深度学习导论/yolov5mine/yolov5-7.0/detect.py", line 277, in <module> main(opt) File "D:/desktop/深度学习导论/yolov5mine/yolov5-7.0/detect.py", line 272, in main run(**vars(opt)) File "D:\python\anaconda\envs\pytorch_new\lib\site-packages\torch\autograd\grad_mode.py", line 26, in decorate_context return func(*args, **kwargs) File "D:/desktop/深度学习导论/yolov5mine/yolov5-7.0/detect.py", line 99, in run model = DetectMultiBackend(weights, device=device, dnn=dnn, data=data, fp16=half) File "D:\desktop\深度学习导论\yolov5mine\yolov5-7.0\models\common.py", line 501, in __init__ if names[0] == 'n01440764' and len(names) == 1000: # ImageNet KeyError: 0

这个错误是由于程序尝试访问一个不存在的键值引起的。具体来说，在程序的第 501 行，它尝试使用一个名为 names 的列表对象的第一个元素，但是该列表对象可能是空的或未定义的，因此无法访问其第一个元素，导致 KeyError: 0 错误。你需要检查代码中的 names 列表对象是否已经正确定义和初始化。

Transferred 738/745 items from yolov5x.pt AMP: checks passed optimizer: SGD(lr=0.01) with parameter groups 123 weight(decay=0.0), 126 weight(decay=0.0005), 126 bias Traceback (most recent call last): File "C:\Users\admin\Desktop\yolov5-master (1)\yolov5-master\utils\dataloaders.py", line 481, in __init__ assert self.im_files, f'{prefix}No images found' AssertionError: train: No images found The above exception was the direct cause of the following exception: Traceback (most recent call last): File "C:\Users\admin\Desktop\yolov5-master (1)\yolov5-master\train.py", line 648, in <module> main(opt) File "C:\Users\admin\Desktop\yolov5-master (1)\yolov5-master\train.py", line 537, in main train(opt.hyp, opt, device, callbacks) File "C:\Users\admin\Desktop\yolov5-master (1)\yolov5-master\train.py", line 196, in train train_loader, dataset = create_dataloader(train_path, File "C:\Users\admin\Desktop\yolov5-master (1)\yolov5-master\utils\dataloaders.py", line 124, in create_dataloader dataset = LoadImagesAndLabels( File "C:\Users\admin\Desktop\yolov5-master (1)\yolov5-master\utils\dataloaders.py", line 483, in __init__ raise Exception(f'{prefix}Error loading data from {path}: {e}\n{HELP_URL}') from e Exception: train: Error loading data from C:\Users\admin\Desktop\yolov5-master (1)\yolov5-master\wzry\datasets\labels\train: train: No images found See https://docs.ultralytics.com/yolov5/tutorials/train_custom_data

根据错误信息显示，训练过程中出现了找不到图像的问题。请确保在指定的路径下存在训练图像。您可以检查以下几点：

1. 检查训练图像的路径是否正确：C:\Users\admin\Desktop\yolov5-master (1)\yolov5-master\wzry\datasets\labels\train
2. 确保在该路径下存在图像文件。您可以检查一下该路径下是否有图像文件。

如果路径和文件都正确，但仍然出现问题，请确保图像文件格式正确，并且每个图像都有对应的标签文件。此外，还可以检查一下图像和标签文件的命名是否匹配。

如果问题仍然存在，请提供更多的信息和代码上下文，以便更好地帮助您解决问题。