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GPU: RTX 3080. Env
GPU: RTX 3080.
OS, Win10.
Cuda version 11.8
TensorRT version 8.6.1
我在自己训练好的模型转wts的时候失败了,提示找不到模块 No module named 'ultralytics.utils',这个pt模型是我用yolov8s.pt进行训练得到的,报错信息如下 但是,我试着转官方提供的yolov8n.pt时却能正确转换wts文件,不知道为啥会有这种问题....
自定义数据集的best.pt模型是我正常训练yolov8s得到的,之前搞其他C++部署时,转onnx模型是可以正常使用的。
补充一句:查过说是要pip install这个模块,但是我之前训练、验证、测试过程中是正常的,没有出现过提示找不到ultralytics模块,模快更新该模块也无法解决上述问题。
The text was updated successfully, but these errors were encountered:
另外,yolov8支持转engine模型文件,是否可以用这种方式来转换模型?并用在该项目提供的tensorRT代码来完成部署呢?
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在https://github.com/ultralytics/ultralytics/tree/main 的主目录下执行gen_wts.py
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Env
GPU: RTX 3080. Env
GPU: RTX 3080.
OS, Win10.
Cuda version 11.8
TensorRT version 8.6.1
我在自己训练好的模型转wts的时候失败了,提示找不到模块 No module named 'ultralytics.utils',这个pt模型是我用yolov8s.pt进行训练得到的,报错信息如下
但是,我试着转官方提供的yolov8n.pt时却能正确转换wts文件,不知道为啥会有这种问题....
自定义数据集的best.pt模型是我正常训练yolov8s得到的,之前搞其他C++部署时,转onnx模型是可以正常使用的。
补充一句:查过说是要pip install这个模块,但是我之前训练、验证、测试过程中是正常的,没有出现过提示找不到ultralytics模块,模快更新该模块也无法解决上述问题。
The text was updated successfully, but these errors were encountered: