luxianlebron

Results 3 comments of luxianlebron

import io import torch import torch.onnx from model.LPRNet_noname import build_lprnet pthfile =r'./save_model/lprnet0.0.pth' lprnet = build_lprnet(lpr_max_len=8, phase=False, class_num=66, dropout_rate=0.5) lprnet = torch.load(pthfile, map_location='cpu') dummy_input = torch.randn(1, 3, 24, 94) input_names =...

> Please provide onnx file for debugging. [lprnet81.0.onnx.zip](https://github.com/onnx/onnx-tensorflow/files/6674045/lprnet81.0.onnx.zip) This is onnx file, thank you for your help

I tried this: ![image](https://user-images.githubusercontent.com/82278841/195624938-d05483ab-e6ae-4817-99c0-65fe56d87f9c.png) is this work? when I use this,model training fails to converge