#Model export

The project introduces an attention-based OCR model designed for image recognition, with tools for creating datasets and exporting trained models. Originating from the work of Qi Guo and Yuntian Deng, it employs CNN, LSTM, and attention mechanisms to enhance OCR accuracy. Installation is straightforward, accompanied by extensive training and testing features, including customizable dataset creation and model visualization. Export formats like SavedModel and frozen graph are supported. The model is suitable for scalable deployment via Tensorflow Serving and Google Cloud ML Engine, with flexible settings for diverse image processing applications.