conv2d using image filter
Version 1.0.0 (40,2 KB) von
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.
Zitieren als
Lin Bai (2024). conv2d using image filter (https://www.mathworks.com/matlabcentral/fileexchange/69953-conv2d-using-image-filter), MATLAB Central File Exchange. Abgerufen .
Kompatibilität der MATLAB-Version
Erstellt mit
R2018b
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS LinuxKategorien
- 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 >
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Version | Veröffentlicht | Versionshinweise | |
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1.0.0 |