Target detection box generation method and image data automatic labeling method and system

A target detection and target technology, applied in the field of image processing, can solve the problems of cumbersome process and time-consuming

Pending Publication Date: 2021-05-18
NAT INNOVATION INST OF DEFENSE TECH PLA ACAD OF MILITARY SCI
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the above-mentioned defects of the prior art, the object of the present invention is to provide a method for generating a target detection frame, a method and

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Target detection box generation method and image data automatic labeling method and system
  • Target detection box generation method and image data automatic labeling method and system
  • Target detection box generation method and image data automatic labeling method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0036] The method for generating the target detection frame provided by Embodiment 1 of the present invention, such as figure 1 As shown, it specifically includes the following steps:

[0037] S11, collect the real-time image with the target object, and the world coordinates of the center point of the target object in the world coordinate system, the world coordinates of the image collector and the attitude information of the image collector;

[0038] S12. According to the world coordinates of the center point of the target in the world coordinate system, the world coordinates of the image collector, and the attitude information of the image collector, obtain the pixel coordinates of the center point of the target through coordinate transformation from the world coordinate system to the pixel coordinate system ;

[0039] S13. Using the pixel coordinates of the center point of the target as the center point of the target detection frame, combined with the calibrated side lengt...

Embodiment 2

[0111] Embodiment 2 of the present invention also provides a method for automatically labeling image data, such as Figure 7 As shown, it specifically includes the following steps:

[0112] S31. Generate a target detection frame for marking the target in the image;

[0113] S32. Obtain category information of the target object in the image, and add a category label to the target detection frame according to the category information, so as to obtain final labeling data of the target object in the image;

[0114] Wherein, any method in the first embodiment is used to generate the target detection frame in the image.

[0115] Based on the same inventive concept, Embodiment 2 of the present invention also proposes an automatic image data labeling system, which specifically includes the following components:

[0116] A generating device 41, configured to execute the method according to any one of claims 1-15 to generate a target detection frame of the target object in the image; ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a target detection box generation method and an image data automatic labeling method and system. The generation method comprises the following steps: acquiring a real-time image with a target object, a world coordinate of a center point of the target object under a world coordinate system, a world coordinate of an image collector and attitude information of the image collector; according to the world coordinate of the central point of the target object in the world coordinate system, the world coordinate of the image collector and the attitude information of the image collector, obtaining the pixel coordinate of the central point of the target object through coordinate transformation from the world coordinate system to a pixel coordinate system; and taking the pixel coordinate of the central point of the target object as the central point of a target detection box, and in combination with the calibrated side length or diameter of the target detection frame, generating the target detection box. According to the method, on the premise that human intervention is not needed, automatic generation of the target detection data is truly realized, and the operation process is simplified.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a method for generating a target detection frame, an image data automatic labeling method and a system. Background technique [0002] In the existing technology, supervised learning requires a large amount of labeled data, which can be completely labeled manually, automatically labeled by a machine, or a mixture of humans and machines. These three modes are called manual labeling, automatic labeling and semi-automatic labeling. For example, in automatic driving, the perception system has a great demand for labeling, especially obstacle perception. Its automatic labeling can mainly use the mutual labeling between different sensors. There are three mainstream sensors for obstacle perception: LiDAR, Camera, and Radar. From the perspective of the data flow of automatic labeling, it is generally to rely on lidar and millimeter-wave radar to label the camera. Th...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/32G06K9/62
CPCG06V10/255G06V2201/07G06F18/214
Inventor 苏龙飞王世雄易晓东管乃洋沈天龙王之元凡遵林黄强娟
Owner NAT INNOVATION INST OF DEFENSE TECH PLA ACAD OF MILITARY SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products