Updated manual

appveyor.yml

@@ -51,8 +51,6 @@ cache:
   - C:\ProgramData\chocolatey\bin -> appveyor.yml, .appveyor\install.cmd
   - C:\ProgramData\chocolatey\lib -> appveyor.yml, .appveyor\install.cmd
   - C:\Program Files\gnuplot -> appveyor.yml, .appveyor\install.cmd
-  - C:\tools\opencv -> appveyor.yml, .appveyor\install.cmd
-  - C:\tools_vc14\opencv -> appveyor.yml, .appveyor\install.cmd
 
 before_build:
   - cmd: SET PATH=C:\Program Files\gnuplot\bin;%PATH%

manual/manual.tex

@@ -169,7 +169,7 @@
 
 \newcommand{\iponly}{\reversemarginpar
     \marginnote{\color{listletiblue}\normalfont\scriptsize
-    {\ttfamily{}N2D2 IP} \emph{only}}}
+    {\ttfamily{}\hyperref[sec:N2D2-IP]{\color{listletiblue}N2D2 IP}} \emph{only}}}
 
 \widowpenalty=1000
 \clubpenalty=1000
@@ -567,6 +567,19 @@ \subsection{Summary}
 
 \iffullmanual
 
+\clearpage
+\section{\label{sec:N2D2-IP}About N2D2-IP}
+
+While N2D2 is our deep learning open-source core framework, some modules referred as "N2D2-IP" in the manual, are only available through custom license agreement with CEA LIST.
+
+If you are interested in obtaining some of these modules, please contact our business developer for more information on available licensing options:
+
+\begin{quote}
+Sandrine VARENNE (\href{mailto:Sandrine.VARENNE@cea.fr?subject=[N2D2-IP inquiry]&body=I am interested in obtaining [...] N2D2-IP module(s).\%0A\%0A[please describe briefly the intended usage].\%0A\%0A[your affiliation and contact information].}{Sandrine.VARENNE@cea.fr})
+\end{quote}
+
+In addition to N2D2-IP modules, we can also provide our expertise to design specific solutions for integrating DNN in embedded hardware systems, where power, latency, form factor and/or cost are constrained. We can target CPU/DSP/GPU CoTS hardware as well as our own PNeuro (programmable) and DNeuro (dataflow) dedicated hardware accelerator IPs for DNN on FPGA or ASIC.
+
 \section{Performing simulations}
 
 \subsection{Obtaining the latest version of this manual}