Model training method, business processing method and device, terminal and storage medium

A model training and model technology, applied in the fields of the Internet and image processing, can solve the problems of time-consuming, low model training efficiency, and high labor costs, and achieve the effects of reducing labor costs, improving feature expression capabilities, and improving accuracy.

Pending Publication Date: 2019-08-23
SHENZHEN TENCENT COMP SYST CO LTD
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Problems solved by technology

The inventor found in practice that the above-mentioned model training method requires professional labelers to label the sample images, and the labor cost is relatively high; moreover, it takes a lot of time to label each sample image during the entire model training process category labels, which will lead to low efficiency of model training

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  • Model training method, business processing method and device, terminal and storage medium
  • Model training method, business processing method and device, terminal and storage medium
  • Model training method, business processing method and device, terminal and storage medium

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Embodiment Construction

[0065] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention.

[0066] The image processing model is a model for feature extraction of an input image; the embodiment of the present invention proposes a model training scheme for the image processing model, and the image processing model is trained by using the model training scheme, which can improve the image processing model. accuracy and model training efficiency. The model training solution can be applied in terminals, where the terminals include but are not limited to: smart phones, tablet computers, laptop computers and desktop computers, and so on. When the terminal executes the model training scheme, its training process can be found in figure 1 As shown, it may specifically include the following two parts: ① Clustering multiple sample images to obtain category information of each ...

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Abstract

The embodiment of the invention discloses a model training method, a business processing method and device, a terminal and a medium, the model training method comprises the following steps: obtaininga sample set, the sample set comprising a plurality of sample images and an image relationship, and the image relationship comprising an association relationship between at least two sample images; constructing a data structure based on the image relationship and the plurality of sample images; traversing each element of the data structure and clustering the sample images stored by each element toobtain a plurality of clustering sets and category information of the sample images in each clustering set; carrying out model training on an image processing model by adopting the plurality of sample images and the category information of each sample image; the embodiment of the invention can improve the model training efficiency and reduce the labor cost.

Description

technical field [0001] The present invention relates to the field of Internet technology, specifically to the field of image processing technology, and in particular to a model training method, a business processing method, a model training device, a business processing device, a terminal and a computer storage medium. Background technique [0002] The image processing model is a model used to extract features from the input image; at present, the model training method for the image processing model mainly includes the following process: first, obtain a large number of sample images; secondly, hire professional labelers to analyze each sample image Labeling is carried out to obtain the category labels of each sample image; then, the image processing model is trained by using the sample images with category labels. The inventor found in practice that the above-mentioned model training method requires professional labelers to label the sample images, and the labor cost is rela...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/23
Inventor 牟帅陈宸肖万鹏
Owner SHENZHEN TENCENT COMP SYST CO LTD
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