Position prediction method, apparatus, device, and readable storage medium

A prediction method and target position technology, applied in the computer field, can solve problems such as low accuracy of grasping point position prediction

Active Publication Date: 2019-03-01
深圳一步智造科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The main purpose of the present invention is to provide a position prediction method, device, equipment and c

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  • Position prediction method, apparatus, device, and readable storage medium
  • Position prediction method, apparatus, device, and readable storage medium
  • Position prediction method, apparatus, device, and readable storage medium

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Embodiment Construction

[0045] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0046] like figure 1 as shown, figure 1 It is a schematic diagram of the terminal structure of the hardware operating environment involved in the solution of the embodiment of the present invention.

[0047] The terminal in this embodiment of the present invention is a location prediction device.

[0048] like figure 1 As shown, the terminal may include: a processor 1001 , such as a CPU, a network interface 1004 , a user interface 1003 , a memory 1005 , and a communication bus 1002 . Wherein, the communication bus 1002 is used to realize connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. Optionall...

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Abstract

The invention discloses a position prediction method, a apparatus, a device, and a computer storage medium. The position prediction method comprises the following steps: obtaining image information ofa training sample, and obtaining target quantity of the training sample based on the image information; obtaining target quantity of the training sample according to the image information; obtainingtarget quantity of the training sample according to the target quantity. Acquiring a target region of each of the training samples in the image information, screening a target image having the targetregion in the image information, and adding a label to the target region in each of the target images; obtaining target position coordinates corresponding to each of the training samples based on thetag; a regression model is established based on the target position coordinates and the target number, and a position to be captured of a training sample is predicted based on the regression model. The invention solves the technical problem that the prediction accuracy rate of the grasping point position is low.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a position prediction method, device, equipment and computer-readable storage medium. Background technique [0002] With the improvement of people's living standards and the continuous development of science and technology, more and more work is transformed from manual operation to machine operation, and machine operation requires users to write appropriate algorithms for the machine so that the machine can accurately locate the target object , so as to meet the needs of users, and the currently commonly used algorithm PointNet++ (a point cloud classification / segmentation deep learning framework) is a classification and target segmentation method for scattered point clouds. Although it can allow the machine to determine the position of the target object, but There is no way to accurately predict the best grasping point, so the machine may fail to grasp the target object...

Claims

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Application Information

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IPC IPC(8): G06T7/70G06K9/62
CPCG06T7/70G06F18/214
Inventor 彭佳勇戴国政戴国鸿
Owner 深圳一步智造科技有限公司
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