We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
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
十分感谢您的工作,对我很有帮助。但我发现针对同一输入尺寸您提供的onnx模型似乎有些细微差别,.onnx 和 _ncnn.onnx不能直接转换成ncnn的模型,只有_ncnn_slim.onnx可以转换而且推理无误,想跟您请教下如何得到_ncnn_slim.onnx的模型?
The text was updated successfully, but these errors were encountered:
可以查看https://github.com/Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB/tree/master/ncnn 里的readme中的流程。onnx 是包含解码框后处理的,用于pc推理;_nccn.onnx是注释掉后处理部分转换的onnx;_ncnn_slim.onnx是将_nccn.onnx经过onnx-simplifier去冗余后的onnx格式,可以成功转换成ncnn格式。
Sorry, something went wrong.
多谢多谢,都已经成功验证
No branches or pull requests
十分感谢您的工作,对我很有帮助。但我发现针对同一输入尺寸您提供的onnx模型似乎有些细微差别,.onnx 和 _ncnn.onnx不能直接转换成ncnn的模型,只有_ncnn_slim.onnx可以转换而且推理无误,想跟您请教下如何得到_ncnn_slim.onnx的模型?
The text was updated successfully, but these errors were encountered: