Method, device and mobile terminal for scene detection

Abstract

The present application discloses a scene detection method, device, and mobile terminal, wherein the scene detection method includes: acquiring an image to be detected; using the trained first convolutional neural network model to detect the image, and obtaining The first detection result, the first detection result is used to determine whether the image contains the first scene and the position information of the first scene in the image; if the first detection result determines that the image contains Including at least one first scene, then: according to the position information of the first scene in the image, using the trained second convolutional neural network model to detect the first scene to obtain a second detection result, The second detection result is used to judge whether the first scene contains the second scene and the position information of the second scene in the image; according to the first detection result and the second detection result, Outputting scene detection result information of the image.

Description

technical field [0001] The present application belongs to the technical field of image processing, and in particular relates to a scene detection method, device, mobile terminal and computer-readable storage medium. Background technique [0002] In the current image processing process, performing scene detection on the image can provide a good basis for the subsequent post-processing of the image, thereby improving the display effect of the image. Existing scene detection methods mainly use large-scale network models of deep learning to detect all scenes in the image. Although large-scale network models can achieve high detection accuracy, they require a large amount of calculation and require high performance of equipment. It is difficult to adopt on devices with relatively limited computing power, such as mobile phones. Contents of the invention [0003] In view of this, the present application provides a method and device for scene detection, a mobile terminal and a co...

AI Technical Summary

Problems solved by technology

Existing scene detection methods mainly use large-scale network models of deep learning to detect all scenes in the image. Although large-scale network models can achieve high detection accuracy, they require a large amount of calculation and require high performance of equipment. Difficult to adopt on devices with relatively limited computing power, such as mobile phones

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