Foreign matter data generation method and terminal
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A technology of data generation and foreign objects, which is applied in the field of image processing, can solve problems such as the inability to obtain training data, lack of data, and unbalanced foreign object categories, so as to avoid migration performance degradation, improve real effects, and enrich training samples.
Pending Publication Date: 2022-04-05
SOUTH CHINA UNIV OF TECH +1
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Problems solved by technology
The difficulties of the current detection of foreign objects on transmission lines are: (1) few foreign object data; (2) unbalanced types of foreign objects; (3) ever-changing forms of foreign objects, which further exacerbates the problem of insufficient data
[0003] At present, most foreign object detection methods based on deep learning have the problem of lack of data. In order to solve the data shortage problem, they collect foreign object data of power lines from all different places, use it to train the network, and apply it to other target scenarios that they want to monitor , there are two problems in this approach: (1) Migration problem; the foreign object detection network we trained on various source domain data, put it in other target scenes, the detection performance will be greatly reduced; (2) even if we collect all The data of the non-target domain is used for training, and they still cannot get enough training data
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Embodiment 1
[0083] Please refer to figure 1 , 3 4. A method for generating foreign object data in this embodiment, comprising:
[0084] S1. Acquiring the power line scene image and the preset foreign object image;
[0085] Wherein, the preset foreign object image includes a foreign object mask mark, and the preset foreign object image may be multiple. In this embodiment, the preset foreign object image is 200 preset foreign object images, including different types and different forms. foreign objects, such as kites, plastic bags, etc.;
[0086] S2. Perform data enhancement on the preset foreign object image according to the foreign object mask annotation to obtain an enhanced preset foreign object image;
[0087] For example, according to the foreign body mask (mask labeling), the preset foreign body image is randomly rotated, enlarged, reduced and / or projected to obtain an enhanced preset foreign body image, so as to transform the foreign body itself into different forms;
[0088] S3...
Embodiment 2
[0117] Please refer to figure 2 , a foreign object data generation terminal in this embodiment, including a memory, a processor, and a computer program stored on the memory and operable on the processor, and the processor implements the first embodiment when executing the computer program. The various steps in the foreign object data generation method.
[0118] To sum up, the method and terminal for generating foreign object data provided by the present invention acquire a power line scene image and a preset foreign object image; extract the power line in the power line scene image to obtain the position of the power line; Determine the target transmission line position in the line position, and paste the preset foreign object image into the target transmission line position to obtain the initial foreign object data. When determining the target transmission line position, randomly select a pending transmission line position from the transmission line position , as long as th...
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Abstract
The invention discloses a foreign matter data generation method. A power transmission line scene image and a preset foreign matter image are acquired; extracting a power transmission line in the power transmission line scene image to obtain a power transmission line position; determining a target power transmission line position from the power transmission line positions, and pasting the preset foreign matter image into the target power transmission line position to obtain initial foreign matter data; based on the initial foreign matter data, a preset image harmony neural network is used for harmony to obtain final foreign matter data, foreign matter data generation on various different backgrounds can be achieved, the number is not limited, and finally based on the initial foreign matter data, the preset image harmony neural network is used for harmony to obtain the final foreign matter data. Foreign matters and scenes in the finally obtained foreign matter data can be better fused, and the real effect of the foreign matter data is improved, so that the quantity of the foreign matter data in a specific power transmission line scene is effectively increased, training samples are enriched, and the problem of migration performance reduction caused by different training and testing scenes is avoided.
Description
technical field [0001] The present invention relates to the technical field of image processing, in particular to a method for generating foreign object data and a terminal. Background technique [0002] Target detection is one of the most important tasks in computer vision, among which, the target detection of foreign objects in power lines has important research value. Common foreign objects on power lines include kites, plastic bags and tree branches. The difficulties of the current detection of foreign objects on transmission lines are: (1) few foreign object data; (2) unbalanced types of foreign objects; (3) ever-changing forms of foreign objects, which further exacerbates the problem of insufficient data. [0003] At present, most foreign object detection methods based on deep learning have the problem of lack of data. In order to solve the data shortage problem, they collect foreign object data of power lines from all different places, use it to train the network, an...
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