ASHLEYDX

error when make

2


CRNN torch转onnx的维度问题

2

将ocr-lstm.pth 利用torch转onnx后第二维维度是1，但发现代码中用的onnx模型第二维是3， 在做框架转换时还需要做什么其他处理吗 

pytorch版dbnet转onnx

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DBnet的模型训练采用的是https://github.com/WenmuZhou/DBNet.pytorch 生成pytorch模型 但在torch.onnx.export 时报错 请问下怎么解决的

官方的部署教程在make那一步一直显示“make: *** No targets specified and no makefile found. Stop.”

why faster-whisper is slower than the origin whisper model

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For the same whisper model (small), faster-whisper is even slower than origin whisper model. To load the model, my code is : """ from faster_whisper import WhisperModel model=WhisperModel("small", device='cpu',compute_type='int8' """...