-
Notifications
You must be signed in to change notification settings - Fork 406
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
请问一下怎么将 yolov5-lite 的模型转换为 正确的 onnx 模式 #125
Comments
你转的是对的 |
我使用的是 master分支版本的 v5lite 我按照 #53 的教程,将大佬你存在网盘中的 v5lite-s.pt 转换成 ncnn格式后 而我在 https://github.com/ppogg/ncnn-android-v5lite/tree/master/app/src/main/assets 中下载的模型在 v5lite-s.cpp 中运行是正确的... 我修改后的 v5lite-s-fp16.param 如下: 7767517 大佬能帮忙看看吗?目前我自己的模型训练好了,但是没法部署在C++中,这个模型转换卡了我好久了... |
我知道这个问题很小白,但是我用 models/export.py 导出来的onnx模型 最终output 为
name: output
type: float32[1,3,80,80,85]
name: 591
type: float32[1,3,40,40,85]
name: 605
type: float32[1,3,20,20,85]
而我看其他人正确导出的模型
name: outputs
type: float32[1,25200,85]
我要怎么做才能正确导出....
The text was updated successfully, but these errors were encountered: