Image filling method and device in FPGA acceleration of convolution neural network
A convolutional neural network, image technology, applied in the field of convolutional neural network FPGA acceleration, can solve problems such as image reduction
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[0061] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.
[0062] The shape and size of the components in the drawings do not reflect the true proportions, and are only intended to illustrate the content of the present invention.
[0063] Such as figure 1 As shown, the convolution algorithm in the prior art makes the output image smaller than the input image.
[0064] In order to solve the above-mentioned problem, the convolution calculation can be performed by using a zero-filling method. Exemplary...
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