[doc] updated and fixed INSTALL

Author: simogasp

INSTALL.md

@@ -5,25 +5,26 @@
 For a detailed guide on building the library check the [online documentation](https://cctag.readthedocs.io/).
 
 Required tools:
+
 * CMake >= 3.14 to build the code
 * Git
 * C/C++ compiler with C++14 support
-    * see here: https://en.cppreference.com/w/cpp/compiler_support 
-    * TLDR gcc >= 5, clang >= 3.4, msvc >= 2017
+  * see here: <https://en.cppreference.com/w/cpp/compiler_support>
+  * TLDR gcc >= 5, clang >= 3.4, msvc >= 2017
 
 Optional tool:
-* CUDA >= 9.0 
+
+* CUDA >= 9.0
 Note: On Windows, there are compatibility issues to build the GPU part due to conflicts between msvc/nvcc/thrust/eigen/boost.
 
-###  Dependencies
+### Dependencies
 
 Most of the dependencies can be installed from the common repositories (apt, yum etc):
 
-- Eigen3 (libeigen3-dev) >= 3.3.4  (NOTE: in order to have Cuda support on Windows, at least version 3.3.9 is required)
-- Boost >= 1.66 ([accumulators, chrono, core, date-time, exception, filesystem, math, program-options, ptr-container, system, serialization, stacktrace, timer, thread]-dev)
-- OpenCV >= 3.1
-- TBB >= 2021.5.0
-
+* Eigen3 (libeigen3-dev) >= 3.3.4  (NOTE: in order to have Cuda support on Windows, at least version 3.3.9 is required)
+* Boost >= 1.66 ([accumulators, core, date-time, exception, filesystem, math, program-options, ptr-container, system, serialization, stacktrace, timer, thread]-dev)
+* OpenCV >= 3.1
+* TBB >= 2021.5.0
 
 ----------
 
@@ -53,18 +54,19 @@ cmake .. -DCCTag_DIR=$CCTAG_INSTALL/lib/cmake/CCTag/
 
 ## Docker Image
 
-A docker image can be built using the Ubuntu based [Dockerfile](Dockerfile),which is based on nvidia/cuda image (https://hub.docker.com/r/nvidia/cuda/)
+A docker image can be built using the Ubuntu based [Dockerfile](Dockerfile),which is based on nvidia/cuda image (<https://hub.docker.com/r/nvidia/cuda/>)
 
-A parameter `CUDA_TAG` can be passed when building the image to select the ubuntu and cuda version. 
+A parameter `CUDA_TAG` can be passed when building the image to select the ubuntu and cuda version.
 For example to create a ubuntu 16.04 with cuda 8.0 for development, use
-```
+
+```bash
 docker build --build-arg CUDA_TAG=8.0-devel --tag cctag .
 ```
 
 The complete list of available tags can be found on the nvidia [dockerhub page](https://hub.docker.com/r/nvidia/cuda/)
-In order to run the image nvidia docker is needed: see the installation instruction here https://github.com/nvidia/nvidia-docker/wiki/Installation-(version-2.0)
+In order to run the image nvidia docker is needed: see the installation instruction here <https://github.com/nvidia/nvidia-docker/wiki/Installation-(version-2.0)>
 Once installed, the docker can be run, e.g., in interactive mode with
 
-```
+```bash
 docker run -it --runtime=nvidia cctag
 ```