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.
CN107704162AInactive Publication Date: 2018-02-16FAFA AUTOMOBILE (CHINA) CO LTD

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
FAFA AUTOMOBILE (CHINA) CO LTD
Publication Date
2018-02-16
Estimated Expiration
Not applicable · inactive patent

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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.
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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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