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

Abstract

The invention provides an image processing method, device and equipment and a computer readable storage medium. The method comprises the steps: obtaining a to-be-processed image and picture layout information of the to-be-processed image, wherein the picture layout information comprises a picture shooting direction and / or an image size; determining a target picture direction type of the to-be-processed image according to the picture layout information of the to-be-processed image; determining a target image segmentation model corresponding to the target picture direction type from at least twopreset image segmentation models according to a corresponding relationship between the preset picture direction type and the image segmentation models; performing image segmentation on the to-be-processed image by adopting the target image segmentation model to obtain an image segmentation result; and performing image processing based on the image segmentation result to obtain a final processed image. According to the invention, the image processing precision can be improved.

Description

technical field [0001] The present application relates to the technical field of image processing, and in particular to an image processing method, device, equipment, and computer-readable storage medium. Background technique [0002] At present, for the mask generation method of portrait blur matting, the method of image segmentation or portrait background separation is usually used to matte the portrait, and the result is used for post-blurring processing to produce an effect similar to that of a single-lens reflex camera. When the portrait mask is generated by the neural network according to the above image processing algorithm, the image to be processed is usually preprocessed first, and its screen layout is adjusted to the default layout direction of the neural network before being input into the neural network. When the layout direction of the image to be processed is inconsistent with the default layout direction of the neural network, the preprocessed image will be d...

AI Technical Summary

Problems solved by technology

When the layout direction of the image to be processed is inconsistent with the default layout direction of the neural network, the preprocessed image will be distorted, resulting in a decrease in the accuracy of the portrait mask output by the final neural network for image segmentation of the preprocessed image, and then Reduced precision for further image processing based on portrait masks

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