Ecological environment target identification method based on multilevel model and automatic adjustment of preset points
An ecological environment and multi-level model technology, applied in character and pattern recognition, biological neural network models, instruments, etc., can solve problems such as manual adjustment, low efficiency, and inapplicability, and achieve reliability assurance, long training time, and targeted effect
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Embodiment 1
[0037] see figure 1 , an ecological environment target recognition method based on a multi-level model and automatic adjustment of preset points, including the following steps:
[0038] Establishing a sample set; collecting ecological environment target images, adding type labels to the ecological environment target images, and saving them in the total sample set; and establishing several sub-sample sets corresponding to different types of ecological environment target images according to the type labels of the ecological environment target images.
[0039] Train the multi-level model; train the target detection model through each sub-sample set to obtain several lightweight models that can identify the corresponding types of ecological environment targets, and train the target detection model through the total sample set to obtain different A heavyweight general-purpose model for type ecological environment targets; in this embodiment, the target detection model uses the YOLO...
Embodiment 2
[0057] This embodiment provides an ecological environment target recognition device based on a multi-level model and automatic adjustment of preset points, including a memory, a processor, and a computer program stored on the memory and operable on the processor, and the processor executes the program When implementing the method described in any embodiment of the present invention.
Embodiment 3
[0059] This embodiment provides an ecological environment target recognition medium based on a multi-level model and automatic adjustment of preset points, on which a computer program is stored, and when the program is executed by a processor, the method described in any embodiment of the present invention is implemented.
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