Image data enhancement method and device, electronic equipment and storage medium

Abstract

The invention relates to an image data enhancement method and device, electronic equipment and a storage medium, and the method comprises the steps: S1, obtaining an original image, carrying out the annotation of an annotation box of the original image, and obtaining an annotated image; S2, rotating the marked image, and obtaining a rotated image; S3, reducing and / or amplifying the rotated image, wherein the reduction processing comprises the steps that two adjacent sampling points serve as segmentation lines, the rotated image is divided into multiple sub-block images, the average value of the sum of the pixels of the corresponding sub-block images is taken as the pixel of the multiple sub-block images, and the amplification processing comprises the steps that a Bi Cub i c function is constructed, performing interpolation calculation on neighborhood points near the pixel points to be interpolated; and S4, obtaining the annotation data subjected to the zooming-out processing and / or the zooming-in processing. The diversity of data can be greatly improved, and the number of training samples can be quickly increased on the basis of not increasing the manual labeling cost.

Description

technical field [0001] The present invention relates to the technical field of image data processing, and more specifically, relates to an image data enhancement method, device, electronic equipment and storage medium. Background technique [0002] At present, in the target detection algorithm, the use of rectangular frames for image annotation often cannot frame the target object with the smallest bounding frame, resulting in more redundant areas. In the dense target detection scene in the image, the use of rectangular frames will result in more overlapping frames, which is not conducive to accurately determining the position and category of the target. At the same time, in scenes with high requirements for the accuracy of the target object position, such as satellite aerial images, satellite building images, etc., it is necessary to use a quadrilateral frame to accurately mark the target object. However, the quadrilateral labeling method has a large workload and requires ...

AI Technical Summary

Problems solved by technology

[0003] The technical problem to be solved by the present invention is that the use of a rectangular frame often cannot frame the target object with the smallest circumscribed frame, resulting in more redundant areas. Aiming at the above-mentioned defects of the prior art, the present invention provides a Image data enhancement methods, including:

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