Image prediction method, image prediction device and computer storage medium

Abstract

The invention provides an image prediction method, an image prediction device and a computer storage medium. The method comprises the steps that an image data set is acquired, and the image data set comprises image data of at least two modes of the same image; respectively inputting the image data of the at least two modalities into a preset neural network, and obtaining a prediction score of the image data of each modality and an image prediction score of weighting processing based on the image data of the at least two modalities; training the weighted value corresponding to the image data of each modal based on the image prediction score until the final result of the image prediction score meets the training requirement of the image prediction model; wherein the image prediction model comprises at least one preset neural network. Through the above mode, according to the image prediction method, the weighted value of the image data of each mode is trained, an intelligent image prediction method is trained, the labor cost is reduced, and the accuracy and pertinence of image prediction are improved.

Description

technical field [0001] The present application relates to the technical field of image processing, and in particular to an image prediction method, an image prediction device, and a computer storage medium. Background technique [0002] At present, the main way to predict the results of behaviors or features in images is to manually label the behaviors or important features in the image, and then focus on the artificially labeled regions for prediction. [0003] However, this method of manual participation requires a large number of staff to participate, and the labor cost is high. In addition, some subjective judgments inevitably exist in the process of manual labeling, which leads to certain errors in the labeling features of image prediction and the accuracy of image prediction. also be affected. Contents of the invention [0004] The present application provides an image prediction method, an image prediction device, and a computer storage medium. [0005] The presen...

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Problems solved by technology

[0003] However, this method of manual participation requires a large number of staff to participate, and the labor cost is high. In addition, some subjective judgments inevitably exist in the process of manual labeling, which leads to certain errors in the labeling features of image prediction and the accuracy of image prediction. also be affected

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