Method of training text detection model, method of detecting text, and device

A method of training a text detection model, wherein the text detection model comprises a text feature extraction sub-model, a text encoding sub-model, a decoding sub-model and an output sub-model,

• the method comprising:
• inputting a sample image containing a text into the text feature extraction sub-model to obtain a first text feature of the text contained in the sample image, wherein the sample image has a label indicating an actual position information of the text contained in the sample image and an actual category for the actual position information;
• inputting a predetermined text vector into the text encoding sub-model to obtain a first text reference feature;
• inputting the first text feature and the first text reference feature into the decoding sub-model to obtain a first text sequence vector;
• inputting the first text sequence vector into the output sub-model to obtain a predicted position information of the text contained in the sample image and a predicted category for the predicted position information;
• and
• training the text detection model based on the predicted category, the actual category, the predicted position information and the actual position information.