Commit 71a7240a authored by Christopher Jan-Steffen Brix's avatar Christopher Jan-Steffen Brix
Browse files

Updated README, updated folder structure

parent d7e5da94
Pipeline #110357 passed with stage
in 18 minutes and 39 seconds
......@@ -26,7 +26,7 @@ TestMXNET:
stage: linux
image: registry.git.rwth-aachen.de/monticore/embeddedmontiarc/applications/mnistcalculator/mxnet:v0.0.3
script:
- cd example
- cd mxnet
- ./prepare.sh
- ./build.sh
- RES=$(./build/src/cpp/DigitCalculator resources/images/1.png resources/images/2.png resources/images/3.png resources/images/4.png resources/images/5.png resources/images/6.png)
......@@ -37,7 +37,7 @@ TestCAFFE2:
stage: linux
image: registry.git.rwth-aachen.de/monticore/embeddedmontiarc/applications/mnistcalculator/caffe2:v0.0.2
script:
- cd example_caffe2
- cd caffe2
- ./build.sh
- RES=$(./build/src/cpp/DigitCalculator test_img/2.jpg test_img/3.jpg test_img/4.png test_img/6.png test_img/2.jpg test_img/3.jpg)
- RES=$(./build/src/cpp/DigitCalculator resources/images/2.jpg resources/images/3.jpg resources/images/4.png resources/images/6.png resources/images/2.jpg resources/images/3.jpg)
- "if [[ $RES != *\"SUM: 857\"* ]]; then echo \"Wrong result:\" $RES; exit 1; fi;"
......@@ -7,3 +7,6 @@
3. Deep Learning Framework **MXNet**.
4. Armadillo (at least armadillo version 6.600 must be used) [Official instructions at Armadillo Website](http://arma.sourceforge.net/download.html).
4. OpenCV
## MXNet and Caffe2
For detailed instructions on how to run the MXNet and Caffe2 example, see the README in the corresponding folder.
\ No newline at end of file
......@@ -17,7 +17,7 @@ bash build.sh
Finally, run the calculator as follows:
```
./build/src/cpp/DigitCalculator ./test_img/3.jpg
./build/src/cpp/DigitCalculator test_img/2.jpg test_img/3.jpg test_img/4.png test_img/6.png test_img/2.jpg test_img/3.jpg
```
You can try different images from the provided `/test_img` 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 28x28.
......
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