This network is used for optical character recognition which comprises of text detection and text recognition. The network is composed of a ResNet-FPN feature extractor, a detection branch, and a recognition branch. The model is trained by the ICDAR-2017 dataset. The input is an image containing some character. The output is a structure that includes the words recognized and their position. The following image shows the result of OCR.
Figure 1. OCR Example
The following table lists the OCR models supported by the Vitis AI Library.
| No | Model Name | Framework |
|---|---|---|
| 1 | ocr_pt | PyTorch |