Image recognition method and device, computer device and storage medium
An image recognition and pixel value technology, applied in the computer field, can solve the problems of slow image recognition speed and large amount of computation, and achieve the effect of speeding up the computation and simplifying the computation structure
Pending Publication Date: 2021-12-03
FU TAI HUA IND SHENZHEN +1
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Problems solved by technology
Most of the existing image recognition methods are based on the neural network model, but the image recognition method based on the neural network model has a large amount of calculation, resulting in a very slow speed of image recognition.
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[0047] In order to more clearly understand the above objects, features and advantages of the present invention, the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.
[0048] Many specific details are set forth in the following description to facilitate a full understanding of the present invention, and the described embodiments are only some of the embodiments of the present invention, rather than all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0049] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood...
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The invention provides an image recognition method, an image recognition device, a computer device and a storage medium. The method comprises the steps: obtaining training data, training the parameters of a full connection layer of a neural network model through the training data, and enabling the trained neural network model to serve as an image recognition model. The training of the parameters comprises the following steps: acquiring an operation program of a full connection layer in the neural network model; searching nodes of at least one layer in the operation program of the full connection layer; dividing the nodes in the same layer into a plurality of groups according to a first preset rule; determining feature nodes in the plurality of groups according to a second preset rule, and taking the plurality of feature nodes as parameter information of the full connection layer; in response to a received image recognition instruction, obtaining a to-be-processed image from the image recognition instruction; and inputting a to-be-processed image into the image recognition model, and outputting an image recognition result. According to the method, the image recognition speed can be increased.
Description
technical field [0001] The invention relates to the field of computer technology, in particular to an image recognition method, an image recognition device, a computer device and a storage medium. Background technique [0002] In the era of rapid development of artificial intelligence, image recognition technology has been applied to all aspects of production and life, such as identifying the type of defective products on the production line through image recognition technology, identifying biometric information, and identifying license plate information of illegal vehicles. Most of the existing image recognition methods are based on the neural network model, but the image recognition method based on the neural network model has a large amount of calculation, resulting in a very slow speed of image recognition. Contents of the invention [0003] In view of the above, it is necessary to propose an image recognition method and device, computer device and storage medium to sp...
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Login to View More IPC IPC(8): G06K9/62G06N3/04
CPCG06N3/045G06F18/214G06N3/08G06F18/217
Inventor ๆไปๅ
Owner FU TAI HUA IND SHENZHEN