Updated README for Raspberry Pi 3B+

README.md

@@ -1,6 +1,6 @@
 # LMS - Lightweight Music Server
 
-LMS is a self-hosted music streaming software: access your music files from anywhere using a web interface!
+LMS is a self-hosted music streaming software: access your music collection from anywhere using a web interface!
 
 A [demo](http://lms.demo.poupon.io) instance is available, with the following limitations:
 - Settings cannot be saved
@@ -8,6 +8,7 @@ A [demo](http://lms.demo.poupon.io) instance is available, with the following li
 - No administration panel
 
 ## Main features
+- Low memory requirement (the demo instance runs on a Raspberry Pi3B+, using less than 10% of total memory even when transcoding)
 - User management
 - Recommendation engine
 - Audio transcode for maximum interoperability and low bandwith requirements
@@ -21,7 +22,7 @@ A [demo](http://lms.demo.poupon.io) instance is available, with the following li
 
 ## Recommendation engine
 LMS provides several ways to help you find the music you like:
-- Tag-based filters (ex: "Metal" and "Aggressive", "Electronic" and "Relaxed", ...)
+- Tag-based filters (ex: "Rock", "Metal" and "Aggressive", "Electronic" and "Relaxed", ...)
 - Recommendations for similar artists and albums
 - Radio mode
 - Searches in album, artist and track names
@@ -29,23 +30,23 @@ LMS provides several ways to help you find the music you like:
 
 The recommendation engine makes use of [Self-Organizing Maps](https://en.wikipedia.org/wiki/Self-organizing_map).</br>
 Please note this engine:
-- may require some significant computation time on very large datasets
-- makes use of computed data available on [AcousticBrainz](https://acousticbrainz.org/). Therefore your music must contain the [MusicBrainz Identifier](https://musicbrainz.org/doc/MusicBrainz_Identifier) for the recommendation engine to work properly (otherwise, only tag-based recommendations are provided)
+- may require some significant computation time on very large collections
+- makes use of computed data available on [AcousticBrainz](https://acousticbrainz.org/). Therefore your music files must contain the [MusicBrainz Identifier](https://musicbrainz.org/doc/MusicBrainz_Identifier) for the recommendation engine to work properly (otherwise, only tag-based recommendations are provided)
 
 ## Subsonic API
-For now, the API version implemented is 1.12.0 and has been tested on Android using the official application, Ultrasonic and DSub.
+The API version implemented is 1.12.0 and has been tested on Android using the official application, Ultrasonic and DSub.
 
-As LMS does not aim to implement all the features of Subsonic, some commands are missing. Since LMS uses metadata tags to organize data, a compatibility mode is used to navigate through the collection using the directory browsing commands.
+Since LMS uses metadata tags to organize data, a compatibility mode is used to navigate through the collection using the directory browsing commands.
 
 The Subsonic API is enabled by default.
 
 ## Installation
 Here are the required packages to build LMS on Debian Stretch:
 ```sh
-apt-get install g++ autoconf automake libboost-filesystem-dev libboost-system-dev libavcodec-dev libavutil-dev libavformat-dev libav-tools libmagick++-dev libpstreams-dev libconfig++-dev libpstreams-dev ffmpeg libtag1-dev
+apt-get install g++ autoconf automake libboost-filesystem-dev libboost-system-dev libavcodec-dev libavutil-dev libavformat-dev libav-tools libmagick++-dev libpstreams-dev libconfig++-dev libpstreams-dev ffmpeg libtag1-dev libcurl4-openssl-dev
 ```
 
-You also need wt4, that is not packaged yet on Debian. See [installation instructions](https://www.webtoolkit.eu/wt/doc/reference/html/InstallationUnix.html).
+You also need wt4, that is not packaged yet on Debian. See [installation instructions](https://www.webtoolkit.eu/wt/doc/reference/html/InstallationUnix.html). You may need to build Wt4 in "Release" mode if you want to compile it natively on a Raspberry Pi3B+.
 
 ```sh
 git clone https://github.com/epoupon/lms.git lms