Release 1.8 Fix (#286)

* CMakeList cleanup * RALI Readme fix * APP Readme fix
ROCm · May 18, 2020 · 980d425 · 980d425
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diff --git a/CMakeLists.txt b/CMakeLists.txt
@@ -67,9 +67,9 @@ set(CPACK_PACKAGE_DESCRIPTION_SUMMARY   "AMD MIVisionX toolkit is a comprehensiv
 # find linux distribution
 find_program(LSB_RELEASE_EXEC lsb_release)
 execute_process(COMMAND ${LSB_RELEASE_EXEC} -is
-    OUTPUT_VARIABLE LSB_RELEASE_ID_SHORT
-    OUTPUT_STRIP_TRAILING_WHITESPACE
-)
+                OUTPUT_VARIABLE LSB_RELEASE_ID_SHORT
+                OUTPUT_STRIP_TRAILING_WHITESPACE
+                )
 
 # generate .deb or .rpm package
 if(LSB_RELEASE_ID_SHORT STREQUAL "Ubuntu")

diff --git a/apps/bubble_pop/README.md b/apps/bubble_pop/README.md
@@ -8,7 +8,7 @@
 
 In this project, we provide OpenVX sample applications to use with any conformant implementation of OpenVX.
 
- ## VX Bubble Pop Sample
+## VX Bubble Pop Sample
 
 In this sample we will create an OpenVX graph to run VX Bubble Pop on a live camera. This sample application uses <a href="https://en.wikipedia.org/wiki/OpenCV" target="_blank">OpenCV</a> to decode input image, draw bubbles/donuts and display the output.
 

diff --git a/apps/cloud_inference/README.md b/apps/cloud_inference/README.md
@@ -1,8 +1,8 @@
 # Cloud Inference Application
 
-Inference Application Development Workflow |  Sample Cloud Inference Application
-:-------------------------:|:-------------------------:
-| <p> <img width="80%" src="../../docs/images/block_diagram_inference_workflow.png"/> </p> | <p> <img width="80%" src="../../docs/images/block_diagram_inference_sample.png"/></p> |
+| Inference Application Development Workflow | Sample Cloud Inference Application |
+|-------------------------|-------------------------|
+| <p align="center"><img width="80%" src="../../docs/images/block_diagram_inference_workflow.png"/></p> | <p align="center"><img width="80%" src="../../docs/images/block_diagram_inference_sample.png"/></p> |
 
 
 ## Cloud Inference Engine

diff --git a/rali/README.md b/rali/README.md
@@ -44,14 +44,17 @@ Rali builds and installs as part of the MIVisonX toolkit. RALI depends on the AM
 ## Turbo JPEG installation
 Turbo JPEG library is a SIMD optimized library which currently RALI uses to decode input JPEG images. It needs to be built from the source and installed in the default path for libraries and include headers. You can follow the instruction below to download the source, build and install it.
 Note: Make sure you have installed nasm debian package before installation, it's the dependency required by libturbo-jpeg.
-```sh
+
+```
  sudo apt-get install nasm
 ```
+
 Note: You need wget package to download the tar file.
-```sh
+```
  sudo apt-get install wget
 ```
-```sh
+
+````
 wget  https://downloads.sourceforge.net/libjpeg-turbo/libjpeg-turbo-2.0.3.tar.gz
 tar xf libjpeg-turbo-2.0.3.tar.gz
 cd libjpeg-turbo-2.0.3
@@ -65,11 +68,12 @@ cmake -DCMAKE_INSTALL_PREFIX=/usr \
       ..
 make -j 4
 sudo make install      
-```
-
-##Jsoncpp installation
+````
 
+## Jsoncpp installation
+```
 sudo apt-get install libjsoncpp-dev
+```
 
 ## Sample and test applications
 *  [Image augmentation application](../apps/image_augmentation) demonstrates how RALI's C API can be used to load jpeg images from the disk, decode them and augment the loaded images with a variety of moifications.