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你好! 我注意到您在这份代码里提供的tflite文件的模型结构似乎与预训练的.h5文件模型结构不太一致,但是与您更新的SKIP-DPCRN里的DPCRN-base的模型结构比较类似,但是我使用tensorflow2.3版本将SKIP-DPCRN的DPCRN-base的预训练模型转化为量化的tflite模型后,处理音频的速度比您在这份代码里提供的tflite文件速度要慢很多,想请教一下您是怎么转换.h5文件到tflite文件的呢? 推理部署tflite模型的代码,我参考的是这份: https://github.com/FragrantRookie/Realtime_Skip_Dpcrn_Tflite_Denoise
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你好!
我注意到您在这份代码里提供的tflite文件的模型结构似乎与预训练的.h5文件模型结构不太一致,但是与您更新的SKIP-DPCRN里的DPCRN-base的模型结构比较类似,但是我使用tensorflow2.3版本将SKIP-DPCRN的DPCRN-base的预训练模型转化为量化的tflite模型后,处理音频的速度比您在这份代码里提供的tflite文件速度要慢很多,想请教一下您是怎么转换.h5文件到tflite文件的呢?
推理部署tflite模型的代码,我参考的是这份:
https://github.com/FragrantRookie/Realtime_Skip_Dpcrn_Tflite_Denoise
The text was updated successfully, but these errors were encountered: