Sample data generation method and device and electronic equipment

A technology of sample data and key point locations, applied in the fields of instruments, character and pattern recognition, calculation models, etc., can solve the problems affecting the prediction accuracy of deep learning models, limited sample data, and cumbersomeness, so as to improve the prediction accuracy and accuracy. , the effect of reducing the difficulty of acquisition

Pending Publication Date: 2021-11-26
GUANGZHOU HUYA TECH CO LTD
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

In this way, when training the deep learning model, it is cumbersome to label the key points of the hand and the hand posture in the image, and the sample data constructed is limited, which will affect the prediction accuracy of the trained deep learning model

Method used

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  • Sample data generation method and device and electronic equipment
  • Sample data generation method and device and electronic equipment
  • Sample data generation method and device and electronic equipment

Examples

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Embodiment Construction

[0025] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with this specification. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present specification as recited in the appended claims.

[0026] The terms used in this specification are for the purpose of describing particular embodiments only, and are not intended to limit the specification. As used in this specification and the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the t...

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Abstract

Embodiments of the invention provide a sample data generation method and device and electronic equipment. When sample data used for training a deep learning model is constructed, a hand kinematics model can be constructed, and the hand kinematics model is used for describing the influence of a hand posture and a hand skeleton length on the position of a hand key point, generating a plurality of groups of sample data according to hand posture information of a standard gesture predefined by a user and the hand kinematics model; Through the method, a large amount of sample data can be quickly and conveniently obtained, a user does not need to manually label hand key points, the sample data obtaining difficulty is reduced, the constructed sample data can be more diversified and higher in accuracy, and therefore the prediction precision of the trained deep learning model can be improved.

Description

technical field [0001] This specification relates to the field of artificial intelligence technology, and in particular to a method, device and electronic equipment for generating sample data. Background technique [0002] Gesture recognition has a wide range of applications in many fields, for example, smart devices can be controlled through gestures. Accurate recognition of user gestures is the prerequisite for gesture control. At present, when recognizing user gestures, the 2D position information or 3D position information of the key points of the hand can be obtained from the RGB image or depth image containing the hand, and then the 2D or 3D position information into a pre-trained deep learning model to predict hand poses in images. When training the deep learning model in this way, it is cumbersome to label the key points of the hand and the gesture of the hand in the image, and the sample data constructed is limited, which will affect the prediction accuracy of the ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N20/00
CPCG06N20/00G06F18/241
Inventor 周凡
Owner GUANGZHOU HUYA TECH CO LTD
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