conv2d using image filter

Versione 1.0.0 (40,2 KB) da Lin Bai
this Simulink model takes the advantage of image filter from Vision HDL Toolbox to achieve convolution function
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Aggiornato 9 gen 2019

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This Simulink model takes the advantage of image filter from Vision HDL Toolbox to achieve convolution function.
The input feature map has 3 channels and output feature map has 6 channels. All the weights and biases are stored as constant. This could be replaced by Lookup Table in case of looply use.

Cita come

Lin Bai (2025). conv2d using image filter (https://it.mathworks.com/matlabcentral/fileexchange/69953-conv2d-using-image-filter), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R2018b
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Versione Pubblicato Note della release
1.0.0