Abstract: Disclosed is a method and device for automatic detection of vessel draft depth, which processes the image of a vessel's hull and extracts local area image blocks with vessel's water gauge scale separately to improve the pertinence of data processing and reduce the complexity of data processing; and based on a multi-task learning network model, performing data processing on local area image blocks to extract scale characters and waterline position, reducing the computational complexity of the model; finally, based on the relative positions of the scale and waterline, determining the vessel's draft depth, thus achieving automatic acquisition of the vessel's draft depth, this method greatly improves the efficiency of reading the vessel's draft depth.

Abstract: A method and device for outputting information are provided. The method includes: in response to receiving an item addition request sent by a user, acquiring a base item; acquiring a candidate item set; acquiring associated items of the base item to form an associated item set; and acquiring an initial item combination, and selecting an item from the candidate item set and adding same to the initial item combination, obtaining a first item combination; and based on the first item combination, deleting an item from the first item combination, obtaining an intermediate item combination ; selecting an item from the associated item set and adding same to the intermediate item combination, obtaining a second item combination; selecting a result item combination from the first item combination and the second item combination; and in response to the result item combination satisfying preset conditions, outputting the result item combination.