Semantic generation method and device, aircraft and storage medium
A semantic generation, aircraft technology, applied in the control field, can solve problems such as poor user experience, slow speed, and inability to automatically identify, to meet the needs of automation and intelligence, and improve effectiveness and efficiency.
Pending Publication Date: 2020-02-21
SZ DJI TECH CO LTD
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Problems solved by technology
Taking an aircraft mounted with a shooting device as an example, the traditional aerial photography technology of an aircraft cannot automatically identify the category of each object in the captured image during the shooting process, and it needs to rely on manual judgment to determine the category of each object in the captured image. Slow speed and poor user experience
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[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0031] Some embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. In the case of no conflict, the following embodiments and features in the embodiments can be combined with each other.
[0032] The semantic generation method provided in the embodiment of the present invention can be executed by a semantic generation system, the semantic generation system includes a semantic generation device and an air...
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The invention discloses a semantic generation method and device, an aircraft and a storage medium, and the method comprises the steps: acquiring a first image captured by a camera device mounted on anaircraft and depth-of-field data corresponding to each pixel point in the first image (S401); adding semantic annotation information to the first image, and obtaining first image data according to the first image, depth-of-field data corresponding to each pixel point in the first image and the semantic annotation information (S402); and processing the first image data based on a semantic recognition model to obtain semantics of each pixel point in the first image data and a confidence coefficient of the semantics (S403). By means of the mode, semantics of all pixel points in the image can beautomatically recognized, the automatic and intelligent requirements of semantic recognition are met, and the effectiveness and efficiency of semantic recognition are improved.
Description
technical field [0001] The invention relates to the technical field of control, in particular to a semantic generation method, device, aircraft and storage medium. Background technique [0002] With the development of aircraft technology, aircraft (such as drones) have been widely used to perform various types of tasks (such as aerial photography, agricultural plant protection, surveying, etc.), among which aerial photography technology on aircraft is the most widely used . Taking an aircraft mounted with a shooting device as an example, the traditional aerial photography technology of an aircraft cannot automatically identify the category of each object in the captured image during the shooting process, and it needs to rely on manual judgment to determine the category of each object in the captured image. The method is slow and the user experience is poor. Therefore, how to determine the image category more effectively becomes the focus of research. Contents of the inve...
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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/13G06N3/045G06F18/241
Inventor 王涛李鑫超刘政哲赵丛
Owner SZ DJI TECH CO LTD