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.
引用格式
Lin Bai (2024). conv2d using image filter (https://www.mathworks.com/matlabcentral/fileexchange/69953-conv2d-using-image-filter), MATLAB Central File Exchange. 检索来源 .
MATLAB 版本兼容性
创建方式
R2018b
兼容任何版本
平台兼容性
Windows macOS Linux类别
- 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 >
在 Help Center 和 MATLAB Answers 中查找有关 HDL-Optimized Algorithm Design 的更多信息
标签
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!版本 | 已发布 | 发行说明 | |
---|---|---|---|
1.0.0 |