Image prediction method, computer equipment and storage medium

Abstract

The application relates to an image prediction method, computer equipment and a storage medium. The method comprises the steps: obtaining a historical image set comprising N frames of historical images with continuous time, and N being a positive integer greater than 1; determining optical flow change information of the N frames of historical images, the optical flow change information being usedfor representing optical flow change characteristics between every two frames of historical images; and predicting the optical flow change information by using a pre-trained target neural network, andobtaining a prediction image according to a prediction result and a preset frame historical image in the historical image set. The method can improve the prediction accuracy.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to an image prediction method, computer equipment and storage media. Background technique [0002] With the development of computer technology and image processing technology, image prediction technology has emerged. For example, predicting the trajectory of a human body or an object based on historical images. Image prediction technology can be applied to many fields such as autonomous driving and weather forecasting, which greatly facilitates people's work and life. [0003] In related technologies, the image prediction technology usually uses the optical flow method to perform extrapolation to obtain a predicted image. However, this method has the problem of inaccurate prediction. Contents of the invention [0004] Based on this, it is necessary to provide an image prediction method, a computer device, and a storage medium capable of improving prediction a...

AI Technical Summary

Problems solved by technology

However, this method has the problem of inaccurate prediction

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