Image processing method, image processing device and storage medium

Abstract

The invention relates to an image processing method, an image processing device and a storage medium. The method comprises the steps of obtaining a to-be-processed image; selecting at least one category based on category information output by the to-be-processed image through the image classifier, and determining a thermodynamic diagram of each category in the at least one category based on the category information; for each category of thermodynamic diagrams in the at least one category of thermodynamic diagrams, determining a first positioning frame set corresponding to the target object inthe to-be-processed image; determining a second positioning frame set of the to-be-processed image according to an unsupervised target detection algorithm; and determining a target positioning frame set in the to-be-processed image according to the first positioning frame set and the second positioning frame set, the target positioning frame being used for representing the position of the target object in the to-be-processed image. Through the technical scheme of the invention, the target detection algorithm and the deep learning algorithm are combined, the data acquisition difficulty is low,the data annotation amount is small, and the position of the target object in the to-be-processed image can be quickly and accurately determined.

Description

technical field [0001] The present disclosure relates to the technical field of image understanding, and in particular, to an image processing method, an image processing device, and a storage medium. Background technique [0002] With the rapid development of science and technology, society has entered the era of streaming media. Videos and images contain rich information, gradually replacing text as the main way for people to obtain information. In order to use massive image files to obtain information more conveniently, the image understanding technology that studies the semantic information contained in images has been paid more and more attention, and its importance is increasing day by day. [0003] The traditional target detection method has poor recognition effect and has restrictions on the object categories in the image. It is very difficult to obtain and label data, and requires a lot of manpower and material resources to achieve satisfactory results. Contents o...

AI Technical Summary

Problems solved by technology

[0003] The traditional target detection method has poor recognition effect and has restrictions on the object categories in the image. It is very difficult to obtain and label data, and it takes a lot of manpower and material resources to achieve satisfactory results.

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