Image calibration method and device
A calibration method and calibration device technology, applied in the field of computer vision, can solve problems such as difficult samples cannot be marked, and achieve the effect of optimizing the recognition model
Pending Publication Date: 2022-03-15
云控智行科技有限公司
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[0005] The embodiment of this specification provides an image calibration method and device to solve the problem that difficult samples cannot be labeled in the existing image labeling
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[0042] In order to make the purpose, technical solutions and advantages of one or more embodiments of this specification more clear, the following will clearly and completely describe the technical solutions of one or more embodiments of this specification in conjunction with specific embodiments of this specification and corresponding drawings . Apparently, the described embodiments are only some of the embodiments in this specification, not all of them. Based on the embodiments in this specification, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of one or more embodiments in this specification.
[0043] It should be understood that although the terms first, second, third, etc. may be used in this application document to describe various information, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from one anothe...
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The embodiment of the invention discloses an image calibration method and device, and the method comprises the steps: obtaining the prediction position information of a second frame image based on radar data and a first calibration result of a first frame image; the second frame image is the next frame image of the first frame image; the predicted position information is used for representing first position information of the target object on the second frame image; identifying the second frame image by adopting an identification model to obtain second position information of the target object on the second frame image; judging whether the intersection-to-union ratio of the first position information and the second position information of the second frame is smaller than a preset threshold value or not to obtain a judgment result; when the judgment result shows that the intersection-to-union ratio is smaller than the preset threshold value, the position information of the prediction result is adopted to calibrate the second frame image; and inputting the calibrated second frame image as a training sample into the recognition model, and training the recognition model. According to the image calibration method in the embodiment of the specification, the accuracy and efficiency of image calibration are greatly improved.
Description
technical field [0001] The present application relates to the technical field of computer vision, in particular to an image calibration method and device. Background technique [0002] Deep learning uses neural networks (Neural Networks) to build machine learning models, and combines low-level features to form more abstract high-level representation attribute categories or features to discover distributed feature representations of data. Deep learning has been widely used in the field of machine vision, such as: image recognition, object detection, etc. Based on the deep learning image detection network, it can realize target detection and automatically format the detection results into an annotation format. [0003] State-of-the-art image detection based on deep learning performs poorly on difficult samples. However, detection based on millimeter-wave radar alone cannot distinguish category information, and can only generate target size and position. Relying on millimeter...
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IPC IPC(8): G06T7/73G06T7/277G01S7/40
CPCG06T7/73G06T7/277G01S7/40G06T2207/20081G06T2207/10016G06T2207/10028G06T2207/10044
Inventor 张震西陈亚卿杨轩
Owner 云控智行科技有限公司