Article sorting method, device, storage medium and electronic equipment
A sorting device and article technology, applied in the direction of sorting, instruments, characters and pattern recognition, etc., can solve problems such as decay, sorting efficiency not reaching the ideal level, and farmers' economic losses, so as to achieve accurate sorting and improve sorting Efficiency and effect on sorting quality
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Embodiment 1
[0043] figure 1 It is a flow chart of the article sorting method provided in Embodiment 1 of the present application. This embodiment is applicable to the situation of sorting articles. The method can be executed by the article sorting device provided in the embodiment of the present application. The device can It is implemented by means of software and / or hardware, and can be integrated into electronic equipment.
[0044] Such as figure 1 As shown, the article sorting method includes:
[0045] S110. Obtain an item image of the item to be sorted.
[0046] Wherein, the items to be sorted may be items conveyed on a conveyor belt, such as vegetables, fruits, various mechanical parts, and the like. In this embodiment, the items to be sorted can be conveyed one by one on the conveyor belt. The advantage of such setting is that it is beneficial to the determination of the sorting parameters of the items to be sorted and the sorting of the items to be sorted.
[0047] The image o...
Embodiment 2
[0061] figure 2 It is a flow chart of the article sorting method provided in Embodiment 2 of the present application. This embodiment is further optimized on the basis of the technical solutions of the above embodiments. The specific optimization is: before using the discriminator of the adversarial network model to determine the sorting parameters of the item image, it also includes: training the at least two adversarial network models in the following way: inputting the sample item picture to the first adversarial network model The first generator, and input the output result of the first generator into the first discriminator of the first confrontation network model and the second discriminator of the second confrontation network model, so as to compare the first generator, the first The discriminator and the second discriminator are trained; the sample item picture is input to the second generator of the second confrontation network model, and the output of the second gen...
Embodiment 3
[0075] image 3 It is a schematic structural diagram of the article sorting device provided in Embodiment 3 of the present application. Such as image 3 As shown, the article sorting device includes:
[0076] Item image acquisition module 310, configured to acquire the item image of the item to be sorted;
[0077] The sorting parameter determination module 320 is used to determine the sorting parameters of the item image by using the discriminator of the confrontation network model;
[0078] The sorting control module 330 is configured to control the sorting device to sort the items to be sorted according to the sorting parameters of the item images.
[0079] In the technical solution provided by the embodiment of the present application, by obtaining the item image of the item to be sorted; using the discriminator of the confrontation network model to determine the sorting parameters of the item image; according to the sorting parameters of the item image, control the sort...
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