Target detection method and device based on yolk network, and equipment terminal

A target detection and network technology, applied in the field of target detection, can solve problems such as inability to converge

Active Publication Date: 2021-09-14
芯算一体(深圳)科技有限公司
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Problems solved by technology

[0003] In view of this, the present application provides a target detection method, device, device terminal and readable storage medium based on the yolo network to solve the problem that the existing yolo network detects the same target data set with different richness of category features. technical problems that cannot be converged

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  • Target detection method and device based on yolk network, and equipment terminal
  • Target detection method and device based on yolk network, and equipment terminal
  • Target detection method and device based on yolk network, and equipment terminal

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[0054] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the protection scope of the present application. In the case of no conflict, the following various embodiments and their technical features can be combined with each other.

[0055] like figure 1 As shown, a target detection method based on yolo network is provided, and the target detection method includes:

[0056] In step S110, the initial preset feature complexity of each target category in the training data is obtained, and the training data includes homologous and heterogeneous data.

[0057] Among them, when using the yolo network...

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Abstract

The invention relates to a target detection method and device based on a yolo network, an equipment terminal and a readable storage medium, and the method comprises the steps: obtaining the initial preset feature complexity of each target type in training data, and obtaining the initial preset feature complexity of each target type based on the yolo network according to the initial preset feature complexity of each target type and a plurality of preset complexity intervals; establishing a respective feature layer structure of each preset complexity interval, calculating and adjusting a loss function value of each preset complexity interval based on the respective feature layer structure and the initial preset feature complexity of each target category, and carrying out the splicing of loss functions according to the loss function value of each preset complexity interval, so as tocalculate a loss value of the spliced loss function; performing weight and offset updating according to the loss value to generate a target detection model, testing test data according to the target detection model, and outputting position information and category information of a target, thereby improving the accuracy of target detection.

Description

technical field [0001] The present application relates to the technical field of target detection, and in particular to a target detection method, device, device terminal and readable storage medium based on a yolo network. Background technique [0002] At present, the yolo network (You only look once, you only look once) is widely used in target detection technology. However, for the same target data set, there are often multiple category features with different category feature richness. Therefore, if conventional training is used The method cannot effectively extract the key features of the target category, which makes the yolo network difficult to converge. SUMMARY OF THE INVENTION [0003] In view of this, the present application provides a target detection method, device, device terminal and readable storage medium based on yolo network, so as to solve the problem that the existing yolo network detects the same target data set containing different category features a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/241
Inventor 申啸尘乔国坤
Owner 芯算一体(深圳)科技有限公司
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