Fixed PoCL typo in documentation #239

Author: smistad

doc/pages/Install-FAST-on-Linux.md

@@ -11,7 +11,7 @@ Requirements
     - **NVIDIA** - Install [CUDA](https://developer.nvidia.com/cuda-downloads)  
     - **Intel** - Install the [OpenCL NEO driver](https://github.com/intel/compute-runtime/releases)  
     - **AMD** - Install the [ROCm stack](https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html)
-    - If none of the above fits, you might want to check out the open source OpenCL implementation [Portable Computing Lanauge (PCOL)](http://portablecl.org), although reduced performance is likely.
+    - If none of the above fits, you might want to check out the open source OpenCL implementation [Portable Computing Language (PoCL)](http://portablecl.org), although reduced performance is likely.
       - `sudo apt install libpocl2`
 
 Some [optional requirements](@ref requirements) are needed for video streaming and GPU neural network inference, these can be installed later.

doc/pages/Linux-instructions.md

@@ -22,7 +22,7 @@ sudo apt install pkgconf libusb-1.0-0-dev # Needed for realsense
           - **NVIDIA** - Install [CUDA](https://developer.nvidia.com/cuda-downloads)
           - **Intel** - Install the [OpenCL NEO driver](https://github.com/intel/compute-runtime/releases)
           - **AMD** - Install the [ROCm stack](https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html)
-          - If none of the above fits, you might want to check out the open source OpenCL implementation [Portable Computing Lanauge (PCOL)](http://portablecl.org), although reduced performance is likely.
+          - If none of the above fits, you might want to check out the open source OpenCL implementation [Portable Computing Language (PoCL)](http://portablecl.org), although reduced performance is likely.
 
 3. FAST will download all other dependencies (Qt5, eigen, zlib, DCMTK, OpenVINO, tensorflow, +++) automatically. Note that some [optional requirements](@ref requirements) are needed for video streaming and GPU neural network inference, this can be installed later.
 

doc/pages/Requirements.md

@@ -18,7 +18,7 @@ To install OpenCL on Linux, download an implementation depending on the CPU/GPU
 **NVIDIA** - Install [CUDA](https://developer.nvidia.com/cuda-downloads)  
 **Intel** - Install the [OpenCL NEO driver](https://github.com/intel/compute-runtime/releases)  
 **AMD** - Install the [ROCm stack](https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html)  
-If none of the above fits, you might want to check out the open source OpenCL implementation [Portable Computing Lanauge (PCOL)](http://portablecl.org), although reduced performance is likely.
+If none of the above fits, you might want to check out the open source OpenCL implementation [Portable Computing Language (PoCL)](http://portablecl.org), although reduced performance is likely.
 
 Also you need to install the following dependencies openslide and libusb: 
 ```bash 

doc/pages/Windows-instructions.md

@@ -19,7 +19,7 @@ Install requirements
    - OpenCL: To install OpenCL on Windows, download an implementation depending on the CPU/GPU you have and want to use:
       - **NVIDIA** - Install [CUDA](https://developer.nvidia.com/cuda-downloads)
       - **Intel** - Install the [Intel OpenCL SDK](https://software.intel.com/content/www/us/en/develop/tools/opencl-sdk/choose-download.html)
-      - If none of the above fits, you might want to check out the open source OpenCL implementation [Portable Computing Lanauge (PCOL)](http://portablecl.org).
+      - If none of the above fits, you might want to check out the open source OpenCL implementation [Portable Computing Language (PoCL)](http://portablecl.org).
 
 3. FAST will download all other dependencies (Qt5, eigen, zlib, DCMTK, OpenVINO, tensorflow, +++) automatically. Note that some [optional requirements](@ref requirements) are needed for video streaming and GPU neural network inference, this can be installed later.