Use pytorch to implement CRNN and CTCloss, and generate libtorch models
- Modify the VGG model in the original paper to MobileNetV3
- Replace LSTM in the original paper with dynamic LSTM
These operations will save about 50% of the amount of parameters and more than 60% of the amount of calculation, while maintaining or exceeding the recognition effect of the original paper.