conv2d using image filter
Versión 1.0.0 (40,2 KB) por
Lin Bai
this Simulink model takes the advantage of image filter from Vision HDL Toolbox to achieve convolution function
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.
Citar como
Lin Bai (2024). conv2d using image filter (https://www.mathworks.com/matlabcentral/fileexchange/69953-conv2d-using-image-filter), MATLAB Central File Exchange. Recuperado .
Compatibilidad con la versión de MATLAB
Se creó con
R2018b
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS LinuxCategorías
- FPGA, ASIC, and SoC Development > Vision HDL Toolbox > HDL-Optimized Algorithm Design >
- Image Processing and Computer Vision > Vision HDL Toolbox > HDL-Optimized Algorithm Design >
- FPGA, ASIC, and SoC Development >
Más información sobre HDL-Optimized Algorithm Design en Help Center y MATLAB Answers.
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Versión | Publicado | Notas de la versión | |
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1.0.0 |