Traceback (most recent call last): File "D:/LPRNet_Pytorch-master/LPRNet_Pytorch-master/train_LPRNet.py", line 268, in <module> train() File "D:/LPRNet_Pytorch-master/LPRNet_Pytorch-master/train_LPRNet.py", line 107, in train lprnet.load_state_dict(torch.load(args.pretrained_model)) File "D:\Anaconda\lib\site-packages\torch\serialization.py", line 608, in load return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args) File "D:\Anaconda\lib\site-packages\torch\serialization.py", line 787, in _legacy_load result = unpickler.load() File "D:\Anaconda\lib\site-packages\torch\serialization.py", line 743, in persistent_load deserialized_objects[root_key] = restore_location(obj, location) File "D:\Anaconda\lib\site-packages\torch\serialization.py", line 175, in default_restore_location result = fn(storage, location) File "D:\Anaconda\lib\site-packages\torch\serialization.py", line 151, in _cuda_deserialize device = validate_cuda_device(location) File "D:\Anaconda\lib\site-packages\torch\serialization.py", line 135, in validate_cuda_device raise RuntimeError('Attempting to deserialize object on a CUDA ' RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU.

No. of samples: 803 Traceback (most recent call last): File "D:/Github/test/C3D-LSTM--PyTorch-master/train_c3d_lstm.py", line 215, in <module> main() File "D:/Github/test/C3D-LSTM--PyTorch-master/train_c3d_lstm.py", line 189, in main train_phase(train_dataloader, optimizer, criterion, epoch) File "D:/Github/test/C3D-LSTM--PyTorch-master/train_c3d_lstm.py", line 86, in train_phase for data in train_dataloader: File "D:\miniconda3\envs\test01\lib\site-packages\torch\utils\data\dataloader.py", line 521, in next data = self._next_data() File "D:\miniconda3\envs\test01\lib\site-packages\torch\utils\data\dataloader.py", line 561, in _next_data data = self._dataset_fetcher.fetch(index) # may raise StopIteration File "D:\miniconda3\envs\test01\lib\site-packages\torch\utils\data\_utils\fetch.py", line 49, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] File "D:\miniconda3\envs\test01\lib\site-packages\torch\utils\data\_utils\fetch.py", line 49, in data = [self.dataset[idx] for idx in possibly_batched_index] File "D:\Github\test\C3D-LSTM--PyTorch-master\data_loader.py", line 84, in getitem images[i] = load_image_train(image_list[i], hori_flip, transform) IndexError: list index out of range

根据你提供的错误信息，可以看出在训练C3D-LSTM模型时出现了"IndexError: list index out of range"错误。根据错误堆栈信息，问题出现在data_loader.py文件的第84行，具体是在__getitem__方法中的images[i] = ...

Traceback (most recent call last): File "C:\Users\31225\Desktop\MVSNet_pytorch-master\train.py", line 16, in <module> from utils import * File "C:\Users\31225\Desktop\MVSNet_pytorch-master\utils.py", line 2, in <module> import torchvision.util

这个错误是因为在你的代码中，utils.py文件中尝试导入了torchvision.util，但是该模块在torchvision库中不存在。你需要检查你的代码，并确认你要导入的模块的名称是否正确。如果你想使用torchvision库，请...

Traceback (most recent call last): File "D:\DBNet.pytorch-master\tools\train.py", line 78, in <module> main(config) File "D:\DBNet.pytorch-master\tools\train.py", line 38, in main train_loader = get_dataloader(config['dataset']['train'], config['distributed']) File "D:\DBNet.pytorch-master\data_loader\init.py", line 84, in get_dataloader _dataset = get_dataset(data_path=data_path, module_name=dataset_name, transform=img_transfroms, dataset_args=dataset_args) File "D:\DBNet.pytorch-master\data_loader\init.py", line 24, in get_dataset **dataset_args) File "D:\DBNet.pytorch-master\data_loader\dataset.py", line 17, in init super().init(data_path, img_mode, pre_processes, filter_keys, ignore_tags, transform) File "D:\DBNet.pytorch-master\base\base_dataset.py", line 18, in init assert item in self.data_list[0], 'data_list from load_data must contains {}'.format(item_keys) IndexError: list index out of range

这个错误是由于索引超出了列表的范围导致的。具体来说，在你的代码中，第17行的__init__方法中的data_list是一个空列表，而你尝试访问它的第一个元素时发生了索引超出范围的错误。要解决这个问题，你需要确保...

Traceback (most recent call last): File "/home/lenovo/zsx/CloserLookFewShot-master/train.py", line 166, in <module> os.makedirs(params.checkpoint_dir) File "/home/lenovo/anaconda3/envs/PyTorch/lib/python3.9/os.py", line 215, in makedirs makedirs(head, exist_ok=exist_ok) File "/home/lenovo/anaconda3/envs/PyTorch/lib/python3.9/os.py", line 215, in makedirs makedirs(head, exist_ok=exist_ok) File "/home/lenovo/anaconda3/envs/PyTorch/lib/python3.9/os.py", line 215, in makedirs makedirs(head, exist_ok=exist_ok) [Previous line repeated 3 more times] File "/home/lenovo/anaconda3/envs/PyTorch/lib/python3.9/os.py", line 225, in makedirs mkdir(name, mode) PermissionError: [Errno 13] Permission denied: '/work'

"=="是Java中的运算符，用于比较两个对象的引用是否相等，即判断两个对象是否指向同一个内存地址。而equals()是Object类中的方法，用于比较两个对象的内容是否相等，即判断两个对象的值是否相等。...

Traceback (most recent call last): File "C:\Users\夏芷琳\Desktop\deform_conv_pytorch-master\demo.py", line 187, in <module> train(epoch) File "C:\Users\夏芷琳\Desktop\deform_conv_pytorch-master\demo.py", line 164, in train 100. * batch_idx / len(train_loader), loss.data[0])) IndexError: invalid index of a 0-dim tensor. Use tensor.item() in Python or tensor.item<T>() in C++ to convert a 0-dim tensor to a number

这个错误通常发生在 PyTorch 中，由于使用了旧版本的语法，尝试从一个 0 维张量中获取数据，而新版本的 PyTorch 不支持这种语法。你可以将这个错误解决的方法是，将代码中的 loss.data[0] 改为 loss.item()，...

Traceback (most recent call last): File "D:\PyCharm\pytorch_sac-master\train.py", line 152, in <module> @hydra.main(config_path="config/train.yaml", strict=True) TypeError: main() got an unexpected keyword argument 'strict'

这个错误可能是因为你的 hydra 版本过低导致的，建议你升级 hydra 的版本。你可以使用以下命令来升级 hydra： pip install --upgrade hydra-core 如果你使用的是 conda 环境，则可以使用以下命令： ...

Traceback (most recent call last): File "D:\文件\三维重建\project\MVSNet_pytorch-master\MVSNet_pytorch-master\train.py", line 16, in <module> from utils import * File "D:\文件\三维重建\project\MVSNet_pytorch-master\MVSNet_pytorch-master\utils.py", line 2, in <module> import torchvision.utils as vutils File "C:\Users\31225\AppData\Local\Programs\Python\Python37\lib\site-packages\torchvision\init.py", line 5, in <module> from torchvision import datasets, io, models, ops, transforms, utils File "C:\Users\31225\AppData\Local\Programs\Python\Python37\lib\site-packages\torchvision\models\init.py", line 16, in <module> from .maxvit import * File "C:\Users\31225\AppData\Local\Programs\Python\Python37\lib\site-packages\torchvision\models\maxvit.py", line 3, in <module> from typing import Any, Callable, List, Optional, OrderedDict, Sequence, Tuple ImportError: cannot import name 'OrderedDict' from 'typing' (C:\Users\31225\AppData\Local\Programs\Python\Python37\lib\typing.py)

如果你不确定如何修改程序，可以尝试在utils.py文件中，将该行代码中的OrderedDict替换为dict。例如： # 修改前 from typing import Any, Dict, List, Tuple, Union, OrderedDict # 修改后 from typing import...

Traceback (most recent call last): File "C:/Users/vipuser/Desktop/yolov4-pytorch-master/train.py", line 456, in <module> lr_scheduler_func = get_lr_scheduler(lr_decay_type, Init_lr_fit, Min_lr_fit, UnFreeze_Epoch) File "C:\Users\vipuser\Desktop\yolov4-pytorch-master\nets\yolo_training.py", line 452, in get_lr_scheduler func = partial(yolox_warm_cos_lr ,lr, min_lr, total_iters, warmup_total_iters, warmup_lr_start, no_aug_iter) NameError: name 'partial' is not defined

这个错误是由于Python无法找到partial函数的定义而引起的。这个函数属于functools模块，因此你需要在你的代码中添加以下导入语句： python from functools import partial 然后再次运行你的代码，就...

Traceback (most recent call last): File "F:\D4PG\d4pg-pytorch-master\train.py", line 2, in <module> from models.engine import load_engine File "F:\D4PG\d4pg-pytorch-master\models\engine.py", line 1, in <module> from .d3pg.engine import Engine as D3PGEngine File "F:\D4PG\d4pg-pytorch-master\models\d3pg\engine.py", line 4, in <module> import torch.multiprocessing as torch_mp ModuleNotFoundError: No module named 'torch'

这个错误提示显示你的代码在执行时无法找到 torch 模块，可能是因为你没有安装 PyTorch 或者安装的 PyTorch 版本不兼容。可以检查一下你的环境中是否已经安装了 PyTorch，并且确认版本是否正确。如果没有安装，...

Epoch 1/200: 0%| | 0/11 [00:00<?, ?it/s<class 'dict'>]Traceback (most recent call last): File "C:/Users/vipuser/Desktop/yolov4-pytorch-master/train.py", line 550, in <module> fit_one_epoch(model_train, model, yolo_loss, loss_history, eval_callback, optimizer, epoch, epoch_step, epoch_step_val, gen, gen_val, UnFreeze_Epoch, Cuda, fp16, scaler, save_period, save_dir, local_rank) File "C:\Users\vipuser\Desktop\yolov4-pytorch-master\utils\utils_fit.py", line 42, in fit_one_epoch loss_value_all += loss_item TypeError: unsupported operand type(s) for +=: 'int' and 'tuple' Epoch 1/200: 0%| | 0/11 [00:26<?, ?it/s<class 'dict'>]

这个错误是由于你的代码中的loss_value_all变量被错误地设置为元组类型，而不是整数类型。你需要检查你的代码，找到这个变量的定义，并将其更改为整数类型。一种可能的解决方法是在定义loss_value_all时，将其...

D:\anaconda\envs\pytorch\python.exe C:\Users\23896\Desktop\bev-lane-det_dachaung-master\tools\train_openlane.py Traceback (most recent call last): File "C:\Users\23896\Desktop\bev-lane-det_dachaung-master\tools\train_openlane.py", line 6, in <module> from tools.val_openlane import PostProcessDataset File "C:\Users\23896\Desktop\bev-lane-det_dachaung-master\tools\val_openlane.py", line 23, in <module> configs = load_config_module(config_file) File "C:\Users\23896\Desktop\bev-lane-det_dachaung-master\utils\config_util.py", line 7, in load_config_module spec.loader.exec_module(configs) File "./openlane_config.py", line 1, in <module> import albumentations as A File "D:\anaconda\envs\pytorch\lib\site-packages\albumentations\init.py", line 5, in <module> from .core.composition import * File "D:\anaconda\envs\pytorch\lib\site-packages\albumentations\core\composition.py", line 8, in <module> from albumentations.augmentations.keypoints_utils import KeypointsProcessor File "D:\anaconda\envs\pytorch\lib\site-packages\albumentations\augmentations\init.py", line 4, in <module> from .functional import * File "D:\anaconda\envs\pytorch\lib\site-packages\albumentations\augmentations\functional.py", line 9, in <module> import skimage File "D:\anaconda\envs\pytorch\lib\site-packages\skimage\init.py", line 122, in <module> from ._shared import geometry File "geometry.pyx", line 1, in init skimage._shared.geometry ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 88 from C header, got 80 from PyObject哪个包和numpy版本不兼容

根据错误信息，这个问题与 numpy 库的版本兼容性有关。具体来说，numpy.ndarray 的大小发生了变化，可能是由于与 numpy 相关的二进制文件不兼容导致的。从错误信息中可以看到，这个问题可能与 skimage（即...

Traceback (most recent call last): File "C:\yangxinru\Rethinking_of_PAR-master\train_1.py", line 72, in <module> for i, (inputs, labels) in enumerate(train_loader): ValueError: not enough values to unpack (expected 2, got 1)

这个错误通常发生在使用 PyTorch 的数据加载器（DataLoader）时，尝试从一个批次中解包出太多的值，导致无法匹配。解决这个错误的方法是检查您使用解包语法的地方，确保它们与实际的批次大小匹配。以下是一个可能...

Traceback (most recent call last): File "train.py", line 11, in <module> config = read_config(args['config']) File "F:\D4PG\d4pg-pytorch-master\utils\utils.py", line 65, in read_config cfg = yaml.load(ymlfile) TypeError: load() missing 1 required positional argument: 'Loader'

这个错误通常出现在使用 PyYAML 库的 load() 函数时，因为在 PyYAML 5.1 版本中，load() 函数已经被弃用了。相反，您需要使用 load() 函数的安全版本，即 safe_load()。要解决这个问题，您可以尝试将以下代码： ...

Traceback (most recent call last): File "E:\rs_yolo\yolov5-master\train.py", line 648, in <module> main(opt) File "E:\rs_yolo\yolov5-master\train.py", line 505, in main d = torch.load(last, map_location='cpu')['opt'] File "D:\anaconda\envs\pytorch\lib\site-packages\torch\serialization.py", line 771, in load with _open_file_like(f, 'rb') as opened_file: File "D:\anaconda\envs\pytorch\lib\site-packages\torch\serialization.py", line 270, in _open_file_like return _open_file(name_or_buffer, mode) File "D:\anaconda\envs\pytorch\lib\site-packages\torch\serialization.py", line 251, in init super(_open_file, self).init(open(name, mode)) PermissionError: [Errno 13] Permission denied: '.'

您好！根据您提供的错误信息，问题是在加载模型参数时出现了权限错误。这通常是由于对文件的访问权限不足引起的。解决此问题的一种方法是确保您具有读取所需文件的权限。您可以尝试以下几种方法： ...

D:\ProgramData\Anaconda3\envs\detr-pytorch-master\python.exe D:\深度学习\deep-learning-for-image-processing-master\pytorch_classification\Test1_official_demo\train.py Traceback (most recent call last): File "D:\深度学习\deep-learning-for-image-processing-master\pytorch_classification\Test1_official_demo\train.py", line 29, in <module> val_image, val_label = next(val_data_iter)#获取到一批数据，通过next得到图像，以及图相对应的标签值 File "D:\ProgramData\Anaconda3\envs\detr-pytorch-master\lib\site-packages\torch\utils\data\dataloader.py", line 633, in next data = self._next_data() File "D:\ProgramData\Anaconda3\envs\detr-pytorch-master\lib\site-packages\torch\utils\data\dataloader.py", line 677, in _next_data data = self._dataset_fetcher.fetch(index) # may raise StopIteration File "D:\ProgramData\Anaconda3\envs\detr-pytorch-master\lib\site-packages\torch\utils\data\_utils\fetch.py", line 51, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] File "D:\ProgramData\Anaconda3\envs\detr-pytorch-master\lib\site-packages\torch\utils\data\_utils\fetch.py", line 51, in data = [self.dataset[idx] for idx in possibly_batched_index] File "D:\ProgramData\Anaconda3\envs\detr-pytorch-master\lib\site-packages\torchvision\datasets\cifar.py", line 118, in getitem img = self.transform(img) TypeError: 'module' object is not callable

这个错误通常是由于使用了错误的变量或模块名称导致的。在你的代码中，错误发生在使用self.transform时： python img = self.transform(img) 根据错误信息，self.transform被认为是一个模块而不是一个...

相关推荐

友好的Python traceback错误处理库 - friendly_traceback-0.4.67

Python友好异常信息库friendly_traceback-0.4.59发布

Python库friendly_traceback-0.3.153发布下载

Traceback (most recent call last): File "C:\Users\31225\Desktop\MVSNet_pytorch-master\train.py", line 16, in <module> from utils import * File "C:\Users\31225\Desktop\MVSNet_pytorch-master\utils.py", line 2, in <module> import torchvision.util

Traceback (most recent call last): File "D:\PyCharm\pytorch_sac-master\train.py", line 152, in <module> @hydra.main(config_path="config/train.yaml", strict=True) TypeError: main() got an unexpected keyword argument 'strict'

Traceback (most recent call last): File "C:\yangxinru\Rethinking_of_PAR-master\train_1.py", line 72, in <module> for i, (inputs, labels) in enumerate(train_loader): ValueError: not enough values to unpack (expected 2, got 1)

Traceback (most recent call last): File "train.py", line 11, in <module> config = read_config(args['config']) File "F:\D4PG\d4pg-pytorch-master\utils\utils.py", line 65, in read_config cfg = yaml.load(ymlfile) TypeError: load() missing 1 required positional argument: 'Loader'

最新推荐

ysoserial-master.zip

zigbee CC2530无线自组网协议栈系统代码实现协调器与终端的TI Sensor实验和Monitor使用.zip

Java毕业设计项目：校园二手交易网站开发指南

管理建模和仿真的文件

【MVC标准化：肌电信号处理的终极指南】：提升数据质量的10大关键步骤与工具

能否提供一个在R语言中执行Framingham数据集判别分析的详细和完整的代码示例？

Blaseball Plus插件开发与构建教程

"互动学习：行动中的多样性与论文攻读经历"

【天线性能提升密籍】：深入探究均匀线阵方向图设计原则及案例分析

C#怎么把图片存入名为当前日期的文件夹里