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Digital human training data cleaning method, device, electronic equipment and storage medium

A training data and digital human technology, applied in the field of image processing, can solve problems such as high time and labor costs, low detection efficiency, and training data that do not meet the standards, so as to avoid labor costs and time costs, effectively clean and improve The effect of cleaning efficiency

Pending Publication Date: 2020-11-20
SHENZHEN ZHUIYI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the training data obtained through real-person recording videos may not meet the standards. At present, the detection of training data is realized through manual detection, so it will take a lot of time and labor costs, resulting in low detection efficiency.

Method used

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  • Digital human training data cleaning method, device, electronic equipment and storage medium
  • Digital human training data cleaning method, device, electronic equipment and storage medium
  • Digital human training data cleaning method, device, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

no. 1 example

[0049] see figure 1 , figure 1 A schematic diagram of an application environment applicable to the embodiment of the present application is shown. The digital human training data cleaning method provided in the embodiment of this application can be used as figure 1 The interactive system 100 is shown. The interactive system 100 includes a terminal device 101 and a server 102 , and the server 102 is communicatively connected to the terminal device 101 . Wherein, the server 102 may be a traditional server or a cloud server, which is not specifically limited here.

[0050] Among them, the terminal device 101 can be a variety of electronic devices that have a display screen, a data processing module, a camera, audio input / output, etc., and support data input, including but not limited to smartphones, tablet computers, laptops, etc. portable computers, desktop computers, kiosks, and wearable electronic devices. Specifically, the data input may be inputting voice based on a voi...

no. 2 example

[0069] see image 3 , image 3 A schematic flowchart of a method for cleaning digital human training data provided in an embodiment of the present application is shown. The method may include the steps of:

[0070] S210. Obtain a segment to be processed in the training data of the digital human, where the segment to be processed is generated by recording target line information based on the target object.

[0071] S220. Acquire standard character feature information based on the target line information.

[0072] S230. Obtain the character feature information of the target object to be tested from the segment to be processed.

[0073] S240. Determine whether the characteristic information of the person to be tested matches the characteristic information of the standard person.

[0074] Wherein, for specific implementation manners of S210 to S240, reference may be made to S110 to S140, so details are not repeated here.

[0075] S250. If the characteristic information of the...

no. 3 example

[0085] see Figure 5 , Figure 5 A schematic flowchart of a method for cleaning digital human training data provided in an embodiment of the present application is shown. The method may include the steps of:

[0086] S310. Obtain a segment to be processed in the digital human training data, where the segment to be processed is generated by recording target line information based on the target object.

[0087] S320. Acquire standard character feature information based on the target line information.

[0088] S330. Obtain the character feature information of the target object to be tested from the segment to be processed.

[0089] Wherein, for specific implementation manners of S310 to S330, reference may be made to S110 to S130, so details are not repeated here.

[0090] S340. Determine whether there is an image including an abnormal object in the segment to be processed.

[0091] In some embodiments, a standard image can be preset, and the standard image can only include ...

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Abstract

The invention discloses a digital human training data cleaning method, a device, electronic equipment and a storage medium, and relates to the technical field of image processing. The method comprisesthe steps of obtaining a to-be-processed segment in digital human training data, and the to-be-processed segment being generated by recording target line information based on a target object; collecting standard character feature information based on the target line information; obtaining to-be-tested character feature information of the target object from the to-be-processed fragment; judging whether the to-be-detected character feature information is matched with the standard character feature information or not; if the to-be-detected character feature information is not matched with the standard character feature information, deleting the to-be-processed fragment. According to the invention, the cleaning efficiency and the cleaning quality of the training data can be improved.

Description

technical field [0001] The present application relates to the technical field of image processing, and more specifically, to a method, device, electronic equipment and storage medium for cleaning digital human training data. Background technique [0002] With the rapid development of science and technology, human-computer interaction technology has penetrated into all aspects of daily life. Among them, digital virtual humans are becoming more and more important in human-computer interaction technology. Digital virtual humans use virtual reality technology, human-computer interaction, A virtual 3D person produced by high-precision 3D portrait simulation, artificial intelligence (AI), motion capture, facial expression capture and other technologies. Among them, when making a digital avatar, the training data is usually obtained by recording a video of a real person, and then the training data is trained with the digital avatar, so that the digital avatar can move like a real p...

Claims

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Application Information

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IPC IPC(8): G06F16/215G06F16/583
CPCG06F16/215G06F16/583G06F16/5854
Inventor 常向月
Owner SHENZHEN ZHUIYI TECH CO LTD
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