Image target detection method, device and camera equipment

A target detection and target technology, which is applied in the field of devices, camera equipment, and image target detection methods, can solve the problems of difficult detectors, high calculation costs, and long cycles, and achieve the effects of shortening the development cycle and saving development costs

CN113936199BActive Publication Date: 2022-05-13珠海视熙科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Publication Date
2022-05-13

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Abstract

The application discloses an image target detection method, device and imaging equipment, which are used to improve the existing detectors so that they can flexibly adapt to different detection ranges and meet different product requirements. The method of the present application includes: determining the current application scene of the preset detector, and obtaining the corresponding configuration file according to the application scene; obtaining the image to be detected; reading the positional relationship from the configuration file, and the positional relationship is the Presetting the positional relationship between the detector sub-region and the image to be detected in the application scene; dividing the image to be detected according to the positional relationship to obtain a sub-image corresponding to the sub-region; through the preset It is assumed that the detector performs target detection on the sub-image to obtain a detection result; the detection result is processed to obtain the target detection result of the image to be detected.
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Description

technical field

[0001] The present application relates to the technical field of image detection, and in particular to an image object detection method, device and camera equipment. Background technique

[0002] Nowadays, target detection applications based on face detection, head detection, pedestrian detection, and vehicle detection are very common. Target detection technology is widely used in consumer electronics, smart terminals, commercial displays, transportation, security and other fields. Most target detection algorithms are based on deep learning, and the corresponding deep learning models are usually trained based on specific data sets or specific scenarios. Once deployed, their specifications (such as detection accuracy, detection distance) and the scenarios they can handle are determined. of. In actual application scenarios, the same company may have multiple products or multiple functions of the same product that require the same target detection algorithm, bu...

Examples

Embodiment Construction

[0119] The present application provides an image target detection method, device and camera equipment, which are used to improve existing detectors so that they can flexibly adapt to different detection ranges and meet different product requirements.

[0120] It should be noted that the image target detection method provided by this application can be applied to a terminal or a server. For example, a terminal can be a conference TV, a conference computer, a conference tablet, a smart phone or a computer, a tablet computer, or a smart TV. , a smart watch, and a portable computer terminal may also be fixed terminals such as a desktop computer. For convenience of illustration, in this application, a terminal is used as an execution subject for illustration.

[0121] see figure 1 , figure 1 An embodiment of the image target detection method provided by the application, the method includes:

[0122] 101. Determine the current application scenario of the preset detector, and obta...