Comments (4)
ncnn 20220420,更新后模型支持有变化,需要重新用新版ncnn自带的onnx2ncnn转换模型
一般转换之前,onnx先做simple简化网络,再进行转换
可以直接使用整合好的工程代码
https://github.com/benjaminwan/OcrLiteAndroidNcnn/releases/tag/1.7.0
Project_OcrLiteAndroidNcnn-1.7.0.7z
https://github.com/benjaminwan/OcrLiteAndroidNcnn/releases/download/1.7.0/Project_OcrLiteAndroidNcnn-1.7.0.7z
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ncnn 20220420,更新后模型支持有变化,需要重新用新版ncnn自带的onnx2ncnn转换模型 一般转换之前,onnx先做simple简化网络,再进行转换
可以直接使用整合好的工程代码 https://github.com/benjaminwan/OcrLiteAndroidNcnn/releases/tag/1.7.0 Project_OcrLiteAndroidNcnn-1.7.0.7z https://github.com/benjaminwan/OcrLiteAndroidNcnn/releases/download/1.7.0/Project_OcrLiteAndroidNcnn-1.7.0.7z
wow, Thank you very much!
I have used the latest version of onnx2ncnn to convert the model.But I got the error:"layer Shape not exists or registered"
Is the problem that I do not simplify the onnx net?
If this is the real problem, is there a tutorial to simplify the onnx net for ncnn?
I'll try your release project, but I want to learn how to simplify the onnx net.
I am appreciate of you.
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https://github.com/daquexian/onnx-simplifier
from ocrliteandroidncnn.
Thank you very much!
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