Commit afd6c223 authored by eyuhar's avatar eyuhar

edited readme

parent 839671c8
Pipeline #124097 passed with stage
in 20 minutes and 51 seconds
......@@ -7,13 +7,6 @@
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!
## Troubleshooting Help
......
......@@ -7,13 +7,6 @@
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!
## Troubleshooting Help
......
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