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Data processing method and device, model training method and device, equipment and medium

A data processing and model technology, applied in the field of data analysis, can solve the problems of large storage space, large amount of calculation, and low efficiency, and achieve the effect of improving the efficiency of the determination process and reducing the amount of calculation

Pending Publication Date: 2020-11-17
BEIJING ORION STAR TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present invention provides a data processing and joint detection model training method, device, equipment and medium, which are used to solve the problems of large amount of calculation, low efficiency and large storage space in the existing process of determining passenger flow data

Method used

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  • Data processing method and device, model training method and device, equipment and medium
  • Data processing method and device, model training method and device, equipment and medium
  • Data processing method and device, model training method and device, equipment and medium

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Embodiment 1

[0035] Example 1: figure 1 A schematic diagram of a data processing process provided by an embodiment of the present invention, including:

[0036] S101: Obtain the position information of each target detection frame containing a human head in the image to be recognized through the joint detection model, and information about whether each target detection frame contains a human face.

[0037] The embodiment of the present invention is applied to an electronic device, and the electronic device may be a smart device, such as a smart robot, a smart screen, a smart monitoring system, or a server.

[0038] After acquiring the image to be recognized, the electronic device analyzes the image to be recognized based on the data processing method provided by the embodiment of the present invention, so as to determine the passenger flow data. Wherein, the image to be recognized may be collected by the electronic device itself, or may be sent by other image collection devices, which is n...

Embodiment 2

[0049] Embodiment 2: In order to accurately determine the passenger flow data, on the basis of the above-mentioned embodiments, in the embodiment of the present invention, determine the passenger flow data, including:

[0050] Determine the identification information of the target detection frame; if the identification information meets the preset first update condition and the target detection frame contains a human face, update the number of attention parameters in the currently saved passenger flow data.

[0051] In order to avoid counting the number of times that the same person looks at the smart device multiple times into the attention count parameter, in the embodiment of the present invention, after the target detection frame is obtained, the identification information of the target detection frame is determined, and in order to determine the target detection frame The identification information of the tracking queue is preset, and the tracking queue stores the tracking...

Embodiment 3

[0074] Embodiment 3: In order to accurately determine the passenger flow value parameters in the passenger flow data, on the basis of the above-mentioned embodiments, in the embodiment of the present invention, determining the passenger flow data includes:

[0075] Determine the identification information of the target detection frame; if the identification information of the target detection frame satisfies the preset third update condition, update the passenger flow value parameter in the currently saved passenger flow data.

[0076] Generally, the images to be recognized acquired by the electronic device are collected according to a preset time interval, such as 50ms, 100ms, etc., and in order to ensure that the images of all people entering the shooting range can be collected in real time, the preset time interval does not It will be set very large. However, because in the actual application process, the time it takes for the same person to enter the shooting range and lea...

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Abstract

The invention discloses a data processing method and device, a model training method and device, equipment and a medium, which are used for solving the problems of large calculated amount, low efficiency and large occupied storage space in the existing process of determining passenger flow data. According to the embodiment of the invention, through a joint detection model, position information ofeach target detection frame containing the human head in an to-be-identified image and information of whether each target detection frame contains the human face or not can be obtained, so that the to-be-identified image only needs to be input into the joint detection model once, and identification efficiency is improved. Therefore, the position information of each target detection box containingthe human head in the to-be-identified image and the information about whether each target detection box contains the human face can be extracted, so that the calculation amount required for extracting the feature vector of the target detection box in the region of the to-be-identified image for multiple times is reduced; and the determination process efficiency of the passenger flow data is improved.

Description

technical field [0001] The invention relates to the technical field of data analysis, in particular to a data processing and joint detection model training method, device, equipment and medium. Background technique [0002] At present, it is possible to evaluate the effectiveness of the device in attracting customers in the scene by analyzing the statistical passenger flow data, namely the passenger flow value parameter and the attention frequency parameter, so as to provide technical support for merchants to make better business decisions. Therefore, how to count passenger flow data is a problem that people pay more and more attention to in recent years. [0003] In the prior art, in the process of determining the number of attention parameters, the pre-trained head detection model is generally used to obtain the position information of the target detection frame containing the human head in the image to be recognized, and for each target detection frame, through The pre-t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/32G06K9/62
CPCG06V40/161G06V20/53G06V10/25G06V2201/07G06F18/214
Inventor 朱宏吉张彦刚
Owner BEIJING ORION STAR TECH CO LTD