A method and device for detecting and counting grain grains based on deep learning
A technology of deep learning and counting methods, which is applied to the counting of items shipped through the conveying device, counting objects, counting mechanisms/items, etc., can solve the problems that cannot meet the detection and counting of different grain grains, and achieve convenient operation and smooth calculation process. Simplicity, high recall and accuracy
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[0023] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0024] see Figure 1-6 , the present invention provides a technical solution: a method for detecting and counting grain grains based on deep learning, comprising the following steps:
[0025] S1. Design of deep convolutional learning network model;
[0026] S2. Solve the parameters of the deep convolutional learning network model.
[0027] The construction of the deep convolutional learning network model in step S1 needs to solve the detection of dense small targ...
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