Machine-selected picture evaluation method and device, storage medium and electronic equipment
An evaluation method and evaluation device technology, applied in the field of images, can solve the problems of no unified test evaluation standard, no quantitative analysis results, large test errors, etc., so as to eliminate the influence of human subjective judgment, reduce labor costs, and reduce evaluation. The effect of the margin of error
Pending Publication Date: 2021-05-25
重庆紫光华山智安科技有限公司
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[0003]
At present, most of the test and evaluation of algorithmic image optimization effects rely on manual test screening and judgment, and there is no unified test and evaluation standard in the industry; manual test methods have high labor costs, no quantitative analysis results, large test errors, and video recognition technology is improving day by day The rhythm of the algorithm is not coordinated, and the algorithm picture optimization test urgently needs an automated test method for human-face human-machine non-identity, and how to define the optimal test index
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[0025] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, not all of them. The components of the embodiments of the application generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.
[0026] Accordingly, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the application. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art w...
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The invention provides a machine-selected picture evaluation method and device, a storage medium and electronic equipment. Firstly, matched pictures are screened out from a machine selection set according to a calibration set; the calibration set comprises a first number of calibration pictures, the calibration pictures are pictures generated by manual calibration according to the target video, the machine selection set comprises a second number of machine selection pictures, the machine selection pictures are pictures generated by machine selection operation on the target video, and the matching picture is a machine selection picture matched with any calibration picture. The optimization rate of the machine selection pictures is automatically obtained through the first number, the second number and the number of the matched pictures, the optimization rate represents the accuracy of the machine selection operation, the accuracy of the machine selection operation can be evaluated, evaluation truncation does not need to depend on manual judgment, the labor cost is reduced, the influence of manual subjective judgment is eliminated, the evaluation standard is unified, a quantitative analysis result can be obtained, and the range of evaluation errors is reduced.
Description
technical field [0001] The present application relates to the field of images, in particular, to a method, device, storage medium and electronic equipment for machine-selected image evaluation. Background technique [0002] With the increasing popularity of security cameras, the role of target recognition security equipment based on video algorithms is becoming more and more significant in daily life; technologies such as enterprise security protection, personnel monitoring, and vehicle deployment and control have basically matured, and social efficiency and people's lives are improved by intelligent identification More convenient; the better the image quality optimized by the algorithm, the greater the effect on the intelligent security system. The most important thing in practical applications is to carry out business development based on the algorithm to identify images, such as personnel tracking, motor vehicle control, etc. [0003] At present, most of the test and eval...
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CPCG06V10/751G06F18/24
Inventor 胡舒瀚刘超彭豪杨夏伟陈婉婉
Owner 重庆紫光华山智安科技有限公司