A data processing method, device, electronic device and storage medium
A data processing and image processing technology, applied in the electronic field, can solve problems such as reducing BN efficiency, and achieve the effects of saving calculation time, reducing summation calculations, and improving efficiency
Active Publication Date: 2021-11-23
ZHUHAI JUNTIAN ELECTRONICS TECH
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[0004] Embodiments of the present invention provide a data processing method, device, electronic equipment, and storage medium, which can solve the problem of time-consuming calculation of the color mean value and color standard deviation of an image and reduce the efficiency of BN
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[0046] Next, the technical solutions in the embodiments of the present invention will be described in connection with the drawings of the embodiments of the present invention, and it is understood that the described embodiments are merely the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained in the art without paying creative labor, all of the present invention.
[0047]It should be noted that the terms used in the embodiments of the present invention are only for the purpose of describing particular embodiments, not intended to limit the invention. "One", "one", "one", "one", "" "and" "" as used in the embodiments of the present invention and the appended claims, are also intended to include many forms unless the context clearly represents other meaning. It should also be understood that the terms "and / or" as used herein refer to any or more of any or all possible combinations of o...
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Embodiments of the present invention provide a data processing method, device, electronic equipment, and storage medium, wherein the method includes the following steps: acquiring a target image input by an image processing neural network; dividing and processing each pixel in the target image, To respectively acquire texture images of multiple size levels corresponding to the target image; acquire the color value of each pixel in the target image, and acquire the target texture of the last size level among the multiple size levels based on the color value The target color mean value and the target color standard deviation of the image; based on the target color mean value and the target color standard deviation, the output data of the image processing neural network is normalized. By adopting the present invention, a large number of summation calculations can be reduced, the calculation time is saved, and the efficiency of BN is further improved.
Description
Technical field [0001] The present invention relates to the field of electronic technology, and more particularly to a data processing method, apparatus, electronic device, and storage medium. Background technique [0002] The neural network needs to be trained according to the sample image before classifying and identifying the image, using a neural network. In neural network training, it often encounters unusually trained conditions such as convergence or gradient explosion. In order to solve the above problems, Google proposes the thinking of Batch Normalization, BN, which is to use the mean and standard deviation of the training set to normalize the output data of each layer of the network in the neural network. [0003] In the prior art, it is often necessary to calculate the mean and standard deviation of the color of all the pixel points in the sample image in real time, and then use the calculation result to normalize the output data of the neural network. However, since ...
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IPC IPC(8): G06T1/00G06N3/02
CPCG06N3/02G06T1/00
Inventor 郭雄辉
Owner ZHUHAI JUNTIAN ELECTRONICS TECH