A point location distribution-based commodity training set refinement acquisition method
A collection method and refined technology, applied in the computer field, can solve problems such as long time and manpower, poor model robustness, insufficient data sets, etc., to achieve the effect of reducing manual repeated operations, improving accuracy, and enhancing stability
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Embodiment 1
[0025] Example 1: See Figure 1-7 , a refined collection method for product training sets based on point distribution, including the following steps:
[0026] A. Determine the commodity placement method; according to the actual situation, when collecting commodity image data, we determined three placement methods: single product, operation, and mixed. Assuming that there are four kinds of commodities (A, B, C, D) placed in the cabinet, each commodity is placed in columns, and each column is placed with 5 items. At this time, a 5×4 point distribution map is formed in the cabinet. When we collect training data, the complete picture of the three pendulum methods is as follows figure 1 , Figure 6 and Figure 7 as shown, figure 1 Use commodity A to illustrate the single-item arrangement, and the single-item arrangement of B, C, and D is the same. The three commodity placement methods have their own functions: (1) Single product: ensure that the commodity appears at all points...
Embodiment 2
[0044] Embodiment 2, on the basis of embodiment 1, the collection legend and the method of quantity of mixed pendulum method are as follows;
[0045] The types of goods in the mixed placement method are the same as those placed in the operation. The mixed placement method is more complicated in point dependence, but the way of placing the goods is easier. There are no strict requirements for the rows, columns and product categories in the point map. , as long as the 5×4 dots are filled. Assuming that the operation pendulum method of the positional relationship of ABCD is determined, the mixed pendulum method needs to combine the five states of "A", "B", "C", "D" and "empty". The image acquisition automatic optimization process is as follows:
[0046] Step 1: Set the number of dependencies t, and set the commodity placement symbols "A", "B", "C", "D" and "empty";
[0047] Step Two: Randomly figure 2 Place "A", "B", "C", "D" and "empty" on the 20 points of the 5×4 point map ...
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