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Tagged object control method

An object control and target object technology, which is applied to program control devices, instruments, electrical and digital data processing, etc., can solve the problems of time-consuming and cumbersome labeling process, and achieve the effect of reducing the number of interactions, simplifying the labeling process, and saving labeling time.

Inactive Publication Date: 2018-02-16
FAFA AUTOMOBILE (CHINA) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In the process of labeling in the existing method, when multiple labeling boxes overlap, multiple interactions with the labeling application program are required to determine the target object to be selected, which makes the labeling process more cumbersome and time-consuming. The present invention The embodiment proposes a labeling object control method

Method used

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Examples

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Embodiment Construction

[0026] The specific embodiments of the invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0027] figure 1 It shows a schematic flowchart of a method for controlling a marked object provided in this embodiment, including:

[0028] S101. After marking an object in an image with a label frame, obtain a control point of the label frame, and establish a corresponding relationship between the control point and the object;

[0029] Specifically, after the tagging application program of the terminal recognizes the object in the image, it uses a tagging frame to tag the identified object, obtains control points on the tagging frame, and establishes a corresponding relationship between each control point and the identified object .

[0030] Wherein, the labeling applicat...

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PUM

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Abstract

An embodiment of the invention discloses a tagged object control method. The method comprises the steps of performing tagging on objects in an image by adopting tagging boxes, obtaining control pointsof the tagging boxes, and establishing corresponding relationships between the control points and the objects; if a clicking event of a mouse is monitored, obtaining a mouse position; and if it is judged that the mouse position is in at least two tagging boxes, obtaining a target control point closest to the mouse position in the at least two tagging boxes, and according to the corresponding relationships, obtaining a target objet corresponding to the target control point. The mouse position is obtained after the clicking event of the mouse is monitored; the target control point closest to the mouse position is calculated; and according to the corresponding relationships between the control points and the objects, the target object corresponding to the target control point is obtained, sothat the target object can be determined according to the mouse clicking position, the interactive frequency of a tagging tool and a user is reduced, the tagging process is simpler, and the tagging time is shortened.

Description

technical field [0001] The embodiment of the present invention relates to the technical field of smart cars, and in particular to a method for controlling marked objects. Background technique [0002] With the deepening of the research on smart cars and the continuous improvement of their intelligence, more and more smart cars have introduced smart modules, which can meet the personalized customization requirements of different drivers while improving the driver's driving experience, so more and more more popular with users. [0003] The automatic driving perception module is a very important functional module in the smart car, which is used to automatically recognize the objects around the car during the driving process, including: people, cars, obstacles and buildings, etc., which involves a large number of deep learning algorithms , these deep learning algorithms require a large number of annotated training samples, therefore, it is necessary to annotate different object...

Claims

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Application Information

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IPC IPC(8): G06F3/0484G06F9/451G06K9/62
CPCG06F3/04842G06F18/40G06F18/214
Inventor 黄立宏
Owner FAFA AUTOMOBILE (CHINA) CO LTD
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