CRNN_PyTorch2TensorFlow

First, convert the pth model to onnx model and then use the onnx/onnx-tensorflow converter tool as a Tensorflow backend for ONNX or convert through the python API.

onnx-tensorflow converter tool

Install onnx-tensorflow: pip install onnx-tf

Convert using the command line tool: onnx-tf convert -t tf -i /path/to/input.onnx -o /path/to/output.pb

python API.

import onnx
from onnx_tf.backend import prepare

onnx_model = onnx.load("input_path")
tf_rep = prepare(onnx_model)
tf_rep.export_graph("output_path")
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