TEXT DETECTION MODEL TRAINING METHOD AND APPARATUS, TEXT REGION DETERMINATION METHOD AND APPARATUS, AND TEXT CONTENT DETERMINATION METHOD AND APPARATUS

摘要

The present application provides a text detection model training method and apparatus, a text region determination method and apparatus, and a text content determination method and apparatus. The text detection model training method comprises: extracting a plurality of initial feature maps of a target training image by means of a first feature extraction network; fusing the plurality of initial feature maps by means of a feature fusion network to obtain a fusion feature map; inputting the fusion feature map to a first output network, and outputting candidate regions of a text region in the target training image and the probability value of each candidate region; determining a first loss value by means of a preset loss detection function; and training the first initial model according to the first loss value until parameters in the first initial model are converged, to obtain a text detection model. According to the present application, all kinds of texts in the image can be quickly, fully and accurately detected under a variety of front sizes, fonts, shapes and directions, thereby contributing to the accuracy of subsequent text recognition, and improving the text recognition effect.