3. Armadillo (at least armadillo version 6.600 must be used) [Official instructions at Armadillo Website](http://arma.sourceforge.net/download.html).
4. OpenCV
## Prepare the data
To create the data for training, execute:
```
bash ./prepare.sh
```
## How to Run
Generate and build the code for the EMADL model by executing:
...
...
@@ -29,7 +22,6 @@ Finally, run the calculator as follows:
You can try different images from the provided `/resources/images` directory or even create your own images for testing. Note that the application program DigitCalculator will automatically rescale the given input image to the size 32x32.
Note: Currently, the mxnet example uses CIFAR-10 data, not MNIST!
3. Armadillo (at least armadillo version 6.600 must be used) [Official instructions at Armadillo Website](http://arma.sourceforge.net/download.html).
4. OpenCV
## Prepare the data
To create the data for training, execute:
```
bash ./prepare.sh
```
## How to Run
Generate and build the code for the EMADL model by executing:
...
...
@@ -29,7 +22,6 @@ Finally, run the calculator as follows:
You can try different images from the provided `/resources/images` directory or even create your own images for testing. Note that the application program DigitCalculator will automatically rescale the given input image to the size 32x32.
Note: Currently, the mxnet example uses CIFAR-10 data, not MNIST!
