Target detection algorithm based on twin neural network
A target detection algorithm and neural network technology, applied in biological neural network models, neural learning methods, neural architectures, etc., can solve problems such as insufficient recognition accuracy and insufficient information utilization, and achieve high detection accuracy and fast running speed.
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[0033] The algorithm of the present invention will be further described below in conjunction with the drawings and specific implementations.
[0034] The present invention is a target detection algorithm based on a twin neural network. The following will take the detection of birds on a transmission line as an example to illustrate the use process of the algorithm. The implementation steps of the algorithm include: preparing a data set that matches the actual application scenario; training the algorithm; and using the algorithm.
[0035] figure 1 It is the network structure diagram of the present invention. figure 1 Among them, image 1 is a picture that does not contain the detected object, and is used as a reference to compare with the picture to be detected. Image 2. This image is the image to be detected. 3 (Network1) is the image feature extraction network, which will perform feature extraction on the image. 4 (Network2) is the feature extraction network of the image, with th...
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