Image processing method and device, electronic equipment and computer readable storage medium

Abstract

The invention provides an image processing method and device, electronic equipment and a computer readable storage medium, and the method comprises the steps: displaying a collected image; in response to a target triggering operation acting on the image, extracting a to-be-processed sub-image containing a plurality of target objects from the image; and determining and displaying classification information of each target object according to the to-be-processed sub-image. According to the embodiment of the invention, the to-be-classified target object is selected from the image collected by the camera device, so that the target object which a user wants to classify can be classified under the condition that the target object does not need to be photographed; and compared with a mode that the to-be-classified object needs to be photographed repeatedly in the prior art, the technical scheme of the disclosure is advantageous in that the photographing process is deleted, so that the waiting time of the user is shortened, and smoother interaction experience is provided for the user.

Description

technical field [0001] The present disclosure relates to the technical field of image processing, and in particular, to an image processing method, device, electronic equipment, and computer-readable storage medium. Background technique [0002] At present, garbage sorting has entered people's daily life, and every community is promoting the construction of sorting trash cans. However, the amount of people's knowledge reserves of garbage classification is not proportional to the popularity of garbage classification hardware. The garbage classification guidelines with many items have brought a corresponding mental burden to people. Therefore, the automatic garbage classification technology has been applied accordingly. [0003] The technical solution adopted by the existing automatic garbage classification technology is generally implemented by the server classifying the pictures taken by the user terminal. However, in the case of multi-entity recognition, that is, when ther...

AI Technical Summary

Problems solved by technology

However, in the case of multi-entity recognition, that is, when there are multiple garbage to be classified, the existing technical solutions can only identify one garbage per recognition operation, so it is necessary to repeatedly take pictures of multiple entities to complete the classification of all entities operation, which leads to a longer time for the user to confirm the category of the garbage

In addition, when the network quality between the terminal device and the server is poor, it will further increase the time for automatic garbage classification and reduce the recognition accuracy of garbage to be sorted, thus bringing poor user experience

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