diff --git a/doc/installation.md b/doc/installation.md
index 121540b9d62c9c011bdb482549329f45192a0145..d56136f268ceff5d64fbfaa8d6fd1e99a20206c7 100644
--- a/doc/installation.md
+++ b/doc/installation.md
@@ -13,7 +13,6 @@ OpenPose Library - Compilation and Installation
 ## Requirements
 - Ubuntu (tested on 14 and 16) or Windows (tested on 10). We do not support any other OS but the community has been able to install it on: CentOS, Windows 7, and Windows 8.
 - NVIDIA graphics card with at least 1.6 GB available (the `nvidia-smi` command checks the available GPU memory in Ubuntu).
-- CUDA and cuDNN installed. Note: We found OpenPose working with cuDNN 5.1 ~10% faster than with cuDNN 6.
 - At least 2 GB of free RAM memory.
 - Highly recommended: A CPU with at least 8 cores.
 
@@ -27,9 +26,10 @@ Note: These requirements assume the default configuration (i.e. `--net_resolutio
 ### Installation - Script Compilation
 **Highly important**: This script only works with CUDA 8 and Ubuntu 14 or 16. Otherwise, check [Manual Compilation](#manual-compilation).
 1. Required: CUDA, cuDNN, OpenCV and Atlas must be already installed on your machine.
-    1. OpenCV can be installed with `apt-get install libopencv-dev`. If you have compiled OpenCV 3 by your own, follow [Manual Compilation](#manual-compilation). After both Makefile.config files have been generated, edit them and uncomment the line `# OPENCV_VERSION := 3`. You might alternatively modify all `Makefile.config.UbuntuXX` files and then run the scripts in step 2.
-    2. In addition, OpenCV 3 does not incorporate the `opencv_contrib` module by default. Assuming you have OpenCV 3 compiled with the contrib module and you want to use it, append `opencv_contrib` at the end of the line `LIBRARIES += opencv_core opencv_highgui opencv_imgproc` in the `Makefile` file.
-    3. Atlas can be installed with `sudo apt-get install libatlas-base-dev`. Instead of Atlas, you can use OpenBLAS or Intel MKL by modifying the line `BLAS := atlas` in the same way as previosuly mentioned for the OpenCV version selection.
+    1. [CUDA](https://developer.nvidia.com/cuda-downloads) and [cuDNN](https://developer.nvidia.com/cudnn) must be installed. Note: We found OpenPose working ~10% faster with cuDNN 5.1 compared to cuDNN 6.
+    2. OpenCV can be installed with `apt-get install libopencv-dev`. If you have compiled OpenCV 3 by your own, follow [Manual Compilation](#manual-compilation). After both Makefile.config files have been generated, edit them and uncomment the line `# OPENCV_VERSION := 3`. You might alternatively modify all `Makefile.config.UbuntuXX` files and then run the scripts in step 2.
+    3. In addition, OpenCV 3 does not incorporate the `opencv_contrib` module by default. Assuming you have OpenCV 3 compiled with the contrib module and you want to use it, append `opencv_contrib` at the end of the line `LIBRARIES += opencv_core opencv_highgui opencv_imgproc` in the `Makefile` file.
+    4. Atlas can be installed with `sudo apt-get install libatlas-base-dev`. Instead of Atlas, you can use OpenBLAS or Intel MKL by modifying the line `BLAS := atlas` in the same way as previosuly mentioned for the OpenCV version selection.
 2. Build Caffe & the OpenPose library + download the required Caffe models for Ubuntu 14.04 or 16.04 (auto-detected for the script) and CUDA 8:
 ```
 bash ./ubuntu/install_caffe_and_openpose_if_cuda8.sh
@@ -103,7 +103,7 @@ You just need to remove the OpenPose folder, by default called `openpose/`. E.g.
 1. Install the pre-requisites:
     1. Microsoft Visual Studio (VS) 2015.
     2. [CUDA 8](https://developer.nvidia.com/cuda-downloads): Install it on the default location, `C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0`. Otherwise, modify the Visual Studio project solution accordingly. Install CUDA 8.0 after Visual Studio 2015 is installed to assure that the CUDA installation will generate all necessary files for VS. If CUDA was already installed, re-install it after installing VS!
-    3. [cuDNN 5.1](https://developer.nvidia.com/cudnn): Once you have downloaded it, just unzip it and copy (merge) the contents on the CUDA folder, C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0.
+    3. [cuDNN 5.1](https://developer.nvidia.com/cudnn): Once you have downloaded it, just unzip it and copy (merge) the contents on the CUDA folder, `C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0`.
     4. Install all the demo pre-requisites from the section `Installation - Demo`.
 2. Download the OpenPose dependencies and models (body, face and hand models) by double-clicking on `{openpose_path}\windows\download_3rdparty_and_models.bat`.
 3. Open the Visual Studio project sln file by double-cliking on `{openpose_path}\windows\OpenPose.sln`.