File "D:\23101\CCCCCCCCC\mainaid.py", line 45, in run qiniu_test.qiniu_upload_file('./save/'+filename,filename) TypeError: can only concatenate str (not "cv2.VideoCapture") to str
时间: 2024-04-27 12:23:01 浏览: 143
这个错误的意思是你在代码中尝试将一个"cv2.VideoCapture"对象与字符串连接,导致无法运行。具体来说,你传递给"qiniu_upload_file"函数的第一个参数应该是一个字符串,但是你传递了一个"cv2.VideoCapture"对象,这就导致了错误。你需要检查代码并确保传递正确的参数类型。
相关问题
Traceback (most recent call last): File "E:\ProgramFile\Anaconda\anaconda3\envs\python38\lib\threading.py", line 932, in _bootstrap_inner self.run() File "E:\ProgramFile\Anaconda\anaconda3\envs\python38\lib\threading.py", line 870, in run self._target(*self._args, **self._kwargs) File "D:\23101\CCCCCCCCC\main.py", line 242, in show_pic ret, frame = myframe.frametest(frame) File "D:\23101\CCCCCCCCC\myframe.py", line 28, in frametest action = mydetect.predict(frame) File "D:\23101\CCCCCCCCC\mydetect.py", line 72, in predict img = torch.zeros((1, 3, imgsz, imgsz), device=device) # init img
这是一个 Python 的 Traceback 错误信息,其中包含了代码运行时出现的错误,可以看到最后一行代码的错误是:
```python
img = torch.zeros((1, 3, imgsz, imgsz), device=device) # init img
```
这行代码中出现了 `device` 这个变量,但是它没有被定义或者赋值。你需要检查一下代码中是否有定义 `device` 变量的地方,或者在这行代码前先定义 `device` 变量。另外,还需要确认是否正确安装了 PyTorch 库,因为这个错误中的 `torch.zeros()` 函数来自于 PyTorch 库。
Traceback (most recent call last): File "D:\23101\CCCCCCCCC\pt-onnx.py", line 11, in <module> onnx.export(model, dummy_input, "best.onnx", verbose=True, input_names=input_names, output_names=output_names) File "E:\ProgramFile\Anaconda\anaconda3\envs\python38\lib\site-packages\torch\onnx\utils.py", line 506, in export _export( File "E:\ProgramFile\Anaconda\anaconda3\envs\python38\lib\site-packages\torch\onnx\utils.py", line 1525, in _export with exporter_context(model, training, verbose): File "E:\ProgramFile\Anaconda\anaconda3\envs\python38\lib\contextlib.py", line 113, in __enter__ return next(self.gen) File "E:\ProgramFile\Anaconda\anaconda3\envs\python38\lib\site-packages\torch\onnx\utils.py", line 178, in exporter_context with select_model_mode_for_export( File "E:\ProgramFile\Anaconda\anaconda3\envs\python38\lib\contextlib.py", line 113, in __enter__ return next(self.gen) File "E:\ProgramFile\Anaconda\anaconda3\envs\python38\lib\site-packages\torch\onnx\utils.py", line 139, in disable_apex_o2_state_dict_hook for module in model.modules(): AttributeError: 'dict' object has no attribute 'modules'
这个错误可能是因为你的模型参数是以字典的形式给出的,而不是以 PyTorch 模型的形式给出的。可以尝试将字典转换为 PyTorch 模型,然后再导出 ONNX 模型。可以尝试以下代码:
```python
import torch
import torch.nn as nn
import onnx
# 定义模型结构
class MyModel(nn.Module):
def __init__(self):
super(MyModel, self).__init__()
self.linear = nn.Linear(10, 1)
def forward(self, x):
return self.linear(x)
# 创建模型实例并加载参数
model_dict = torch.load('model_dict.pth')
model = MyModel()
model.load_state_dict(model_dict)
# 导出 ONNX 模型
dummy_input = torch.randn(1, 10)
input_names = ["input"]
output_names = ["output"]
onnx.export(model, dummy_input, "best.onnx", verbose=True, input_names=input_names, output_names=output_names)
```
其中,`model_dict.pth` 是你保存的模型参数文件。另外,你需要根据你实际的模型结构来定义 `MyModel` 类。
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