Image data screening method and device, computer device and storage medium
A technology of image data and screening methods, which is applied in the computer field and can solve problems such as memory consumption
Pending Publication Date: 2020-09-01
GUANGZHOU HUIRUI SITONG INFORMATION SCI & TECH CO LTD
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The traditional algorithm is to keep the sliding window results with high scores and discard the sliding window results with low scores when the intersection ratio is greater than the set threshold. In order to calculate the intersection ratio, it is necessary to temporarily store all the results and their corresponding sliding windows. position, and then calculate the intersection and ratio in pairs, which consumes memory
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[0033] In order to make the purpose, technical solutions and advantages of the embodiments of this application clearer, the technical solutions in the embodiments of this application will be described clearly and completely in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments These are a part of the embodiments of this application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of this application.
[0034] figure 1 It is an application environment diagram of the image data screening method in an embodiment. Reference figure 1 , The image data screening method is applied to the image data screening system. The image data screening system includes a terminal 110 and a server 120. The terminal 110 and the server 120 are connected through a network. The terminal or ...
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The invention relates to an image data screening method and device, a computer device and a storage medium. The method comprises the following steps: obtaining a plurality of image subareas of the original image and scores of the image subareas, wherein the image subareas are obtained by dividing an original image according to a sliding window and a sliding step length; according to the sliding window and the sliding step length; calculating a cross-parallel ratio of two adjacent image subareas, determining a target combination mode of the image subareas according to the cross-parallel ratio,combining the image subareas according to the target combination mode to obtain an image subarea set, screening out the image subarea with the highest score from each image subarea set, and reservingthe image subarea with the highest score. By calculating the intersection-combination ratio of the adjacent image subareas, determining the combination mode according to the intersection-combination ratio, screening the combined image subareas and reserving the image subareas meeting conditions, the storage space is saved, the data volume is reduced, and therefore the data processing efficiency isimproved.
Description
Technical field [0001] This application relates to the field of computer technology, and in particular to an image data screening method, device, computer equipment, and storage medium. Background technique [0002] In the artificial intelligence algorithm of image processing, a sliding window method is used to search and extract interesting features from the entire image. After classification and recognition by the classifier, each window will get a score. For example, the face detection algorithm MTCNN, each result corresponds to a specific range of pixel boxes in the image of the input algorithm, and the corresponding relationship between each result and the area of the input image is fixed. Then the regional relationship of the corresponding search box in the input image between the two data in the result is also fixed. When the search box moves in the image, the face will be detected in the nearby area centered on the face in the image. A face will be repeatedly detected ...
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IPC IPC(8): G06T5/50G06K9/32G06K9/34
CPCG06T5/50G06T2207/20221G06V10/267G06V10/25
Inventor 李宝勋符永逸
Owner GUANGZHOU HUIRUI SITONG INFORMATION SCI & TECH CO LTD