Update README.md

README.md

@@ -1 +1,60 @@
-# SLAM-on-Android_
+# SLAM-on-Android
+
+In this project, we receive a video stream from the drone to the smartphone and manipulate it Using computer vision libraries.
+Eventually we apply a SLAM algorithm on the frames in the smartphone app.
+
+# Brief work summary
+  Firstly, in order to use the video stream codecs and grabbers we make use of FFMpeg grabbers with the matching codecs.
+We grabe the stream from the drone using the IPCameraFrameGrabber from the FFmpeg library. And after some manipulations and
+convertion we get the mat objects from the frames
+
+  Secondly, we apply some methods from the OpenCV library. To get the OpenCV library work with our android app, we used the
+precompiled version of javacv, javacpp and the original OpenCV library.
+
+# Prerequisites
+-   javacv:1.5.3
+-   javacpp-presets:opencv:2.4.11-0.11:android-x86
+-   javacpp-presets:ffmpeg:2.8.1-1.1:android-x86
+-   javacpp-presets:opencv:2.4.11-0.11:android-arm
+-   javacpp-presets:ffmpeg:2.8.1-1.1:android-arm
+-   javacpp-presets:openblas:0.2.19-1.3:android-x86
+-   javacpp-presets:openblas:0.2.19-1.3:android-arm
+-   openCVLibrary24136
+
+# Build Enviroment
+# javacpp
+
+The build process for the modules of javacpp-presets usually depends on the same version of the javacpp module. To insure
+that you have the latest matching version of both, please execute the following before starting the build in the 
+javacpp-presets directory or one of its subdirectories:
+$ git clone https://github.com/bytedeco/javacpp.git --branch <tag>
+$ git clone https://github.com/bytedeco/javacpp-presets.git --branch <tag>
+$ cd javacpp
+$ mvn clean install
+
+To produce native libraries for Android, we basically only need to install the JDK and the NDK, which is available for Linux,
+Mac OS X, and Windows. However, the build scripts of some libraries only run correctly under Linux, so we recommend using a
+recent distribution of Linux (such as Fedora or Ubuntu) as build environment for Android.
+
+Download the latest supported version of the NDK, which is r18b at the time of this writing and features Clang with libc++
+instead of GCC with libstdc++, among other things.
+Note: OpenBLAS requires a Fortran compiler to build the optional LAPACK library. For this, download the gcc-arm-linux-
+x86_64.tar.bz2 and gcc-x86-linux-x86_64.tar.bz2 toolchains with Fortran compiler and follow the instructions from
+https://github.com/buffer51/android-gfortran to deploy the toolchains into the NDK folder.
+Install the NDK under, for example, ~/Android/android-ndk, where the build scripts will look for it by default.
+Finally, make sure to have installed at least OpenJDK and Maven as per the instructions of your distribution.
+Run the "Prerequisites for all platforms" tasks inside the shell.
+After which the following command can be used to start the build inside the javacpp-presets directory or one of its
+subdirectories:
+$ mvn clean install -Djavacpp.platform=android-xxx -Djavacpp.platform.root=/path/to/android-ndk/
+where android-xxx is either android-arm, android-arm64, android-x86, or android-x86_64.
+
+# OpenCV
+Follow this guide : https://android.jlelse.eu/a-beginners-guide-to-setting-up-opencv-android-library-on-android-studio-19794e220f3c
+
+
+
+
+
+
+