conv2d using image filter

Version 1.0.0 (40,2 ko) par Lin Bai
this Simulink model takes the advantage of image filter from Vision HDL Toolbox to achieve convolution function
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Mise à jour 9 jan. 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.

Citation pour cette source

Lin Bai (2024). conv2d using image filter (https://www.mathworks.com/matlabcentral/fileexchange/69953-conv2d-using-image-filter), MATLAB Central File Exchange. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2018b
Compatible avec toutes les versions
Plateformes compatibles
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Version Publié le Notes de version
1.0.0