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Target detection method and related model training method, device and apparatus

A technology for detecting models and training methods, which is applied in the field of artificial intelligence and can solve problems such as high cost

Pending Publication Date: 2020-07-31
SHENZHEN SENSETIME TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Very expensive due to training the model with human-annotated real data

Method used

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  • Target detection method and related model training method, device and apparatus
  • Target detection method and related model training method, device and apparatus
  • Target detection method and related model training method, device and apparatus

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Embodiment Construction

[0062] The technical solutions in the disclosed embodiments of the present application are clearly and completely described below in conjunction with the accompanying drawings in the disclosed embodiments of the present application. Apparently, the described embodiments are only some of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0063] refer to figure 1 , figure 1 It is a schematic flowchart of the first embodiment of the method for training the detection model of the present application. The training method of the detection model of the present application may be implemented by electronic devices with processing functions such as microcomputers, servers, and tablet computers, or implemented by processors executing program codes. Specifically, the followi...

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Abstract

The invention discloses a target detection method, a training method of a model of the target detection method, a device and an apparatus, and the training method of the detection model comprises thesteps: obtaining a first sample image obtained through simulation collection in a simulation environment, and determining the actual position information of a simulation object in the first sample image, wherein the first sample image comprises depth values of pixel points in the image; adjusting the depth values of part of pixel points in the first sample image to preset depth values to obtain asecond sample image; processing the second sample image by using the detection model to obtain predicted position information of the simulation object; and adjusting parameters of the detection modelbased on the actual position information and the predicted position information. According to the scheme, the trained detection model can be more easily applied to the real environment, and the accuracy and reliability of target detection of the detection model on the images collected in the real environment are improved.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, in particular to a target detection method and related model training methods, equipment, and devices. Background technique [0002] With the development of computer software and hardware, artificial intelligence technology is becoming more and more mature. Using various detection models to detect objects on images to obtain target information on images has been widely used in various industries. For example, in industrial production, the object can be photographed, and the graspable point of the object in the captured image can be detected by using the trained detection model, and then the robot arm can be used to grasp the object according to the graspable point. [0003] At present, it is necessary to use a large number of manually annotated real data as samples to train the detection model, so that an accurate and reliable detection model can be trained. Since the m...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06N3/04G06N3/08
CPCG06N3/08G06V20/10G06V10/44G06V10/56G06N3/045
Inventor 吴华栋周韬高鸣岐成慧
Owner SHENZHEN SENSETIME TECH CO LTD
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