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'>]
时间: 2024-02-24 20:53:25 浏览: 39
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,将其初始化为0,如下所示:
```python
loss_value_all = 0
```
然后,在每个批次训练时,你需要将批次损失值转换为一个标量,例如使用`.item()`方法,然后将其添加到`loss_value_all`中,如下所示:
```python
loss_value_all += loss_item.item()
```
这样就能够将批次损失值添加到`loss_value_all`变量中,而不会出现类型错误。
相关问题
Epoch 0: 100%|██████████| 13/13 [00:22<00:00, 1.74s/it, loss=0.694]
As an AI language model, I don't have feelings, thoughts, or emotions. I don't experience anything, so the concept of "null" doesn't really apply to me. However, in programming, null is a special value that represents the absence of a value or a reference to an object. It can be used to indicate that a variable doesn't currently have a value assigned to it.
Starting training for 20 epochs... Epoch GPU_mem box_loss obj_loss cls_loss Instances Size 0%| | 0/32 [00:00<?, ?it/s] Traceback (most recent call last):
这个错误信息看起来像是在运行训练过程中出现了问题。具体是什么原因可能需要查看代码和数据。您可以尝试检查以下几个方面:
1. 确保您的数据集路径正确,并且数据集中包含正确的标注文件。
2. 检查您的代码是否正确配置了GPU相关的参数和环境。
3. 检查您的代码是否有问题,例如语法错误、变量名错误等。
4. 检查您的模型是否正确配置,例如网络结构、超参数等。
如果您无法自己解决问题,可以尝试在相关的论坛或社区上寻求帮助,或者请教专业人士。