Robot target grabbing area real-time detection method based on SE-RetinaGrasp model
A real-time detection and robot technology, applied in biological neural network models, instruments, computer parts, etc., can solve the problem of low accuracy of grasping area prediction effect, improve detection accuracy, ensure diversity, and strengthen grasping. effect of ability
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[0041] The accompanying drawings are for illustrative purposes only and cannot be construed as limiting the patent;
[0042] In order to better illustrate this embodiment, some parts in the drawings will be omitted, enlarged or reduced, and do not represent the size of the actual product;
[0043] For those skilled in the art, it is understandable that some well-known structures and descriptions thereof may be omitted in the drawings.
[0044] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0045] Such as figure 1 As shown, it is a flow chart of the real-time detection method for the robot target grasping area based on the SE-RetinaGrasp model of this embodiment.
[0046] This embodiment proposes a real-time detection method for a robot target grasping area based on the SE-RetinaGrasp model, including the following steps:
[0047] S1: Download the training data set through the ...
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