(See the README.md file in the upper level 'examples' directory for more information about examples.)
This example demonstrates how to use 2D convolution dspi_conv_f32 from esp-dsp library. Example does the following steps:
- Initialize the input arrays
- Calculate 2D convolution of two images
The example reproduce the Matlab code:
A = ones(8);
B = ones(4);
Csame = conv2(A,B, "same")
This example does not require any special hardware, and can be run on any common development board.
Under Component Config ---> DSP Library ---> DSP Optimization, it's possible to choose either the optimized or ANSI implementation, to compare them.
Build the project and flash it to the board, then run monitor tool to view serial output (replace PORT with serial port name):
idf.py -p PORT flash monitor
(To exit the serial monitor, type Ctrl-]
.)
See the Getting Started Guide for full steps to configure and use ESP-IDF to build projects.
Here is an typical example console output.
I (305) main: Start Example.
I (305) main: 2D Convolution reuslt.
[ 0 .. 8, 0]: 9, 12, 12, 12, 12, 12, 9, 6,
[ 0 .. 8, 1]: 12, 16, 16, 16, 16, 16, 12, 8,
[ 0 .. 8, 2]: 12, 16, 16, 16, 16, 16, 12, 8,
[ 0 .. 8, 3]: 12, 16, 16, 16, 16, 16, 12, 8,
[ 0 .. 8, 4]: 12, 16, 16, 16, 16, 16, 12, 8,
[ 0 .. 8, 5]: 12, 16, 16, 16, 16, 16, 12, 8,
[ 0 .. 8, 6]: 9, 12, 12, 12, 12, 12, 9, 6,
[ 0 .. 8, 7]: 6, 8, 8, 8, 8, 8, 6, 4,