#Setup opencv in eclipse for mac how to#
#Setup opencv in eclipse for mac install#
#Setup opencv in eclipse for mac update#
#Setup opencv in eclipse for mac android#
#Setup opencv in eclipse for mac code#

I recommend using the latest but if something doesnвЂ™t work and you want to narrow down the issue, hereвЂ™s the link to the version I use for this guide. I am using android-ndk-r5c for this guide.

#Setup opencv in eclipse for mac android#

Download and unzip the Android NDK manually (not inside Eclipse). In addition to the Android SDK ( ), you need the Android NDK. I will guide you through the setup here so you can skip it for now, but if you encounter issues that are not covered here, check there first. Once you have Sequoyah installed, I recommend checking out the Sequoyah User Guide section in the Eclipse Help menu at some point because it contains some useful information, some which helped me throughout the way of getting the process going. I am not sure which one is really needed, but I didnвЂ™t want really care since thereвЂ™s no harm installing all. You must uncheck Group Items By Category checkbox (can be seen in the bottom half of the picture below) to see the available components and then just select them all.

#Setup opencv in eclipse for mac update#

ДЄgain, from menu-> Help->Install New Software and enter the update site above. I used - this link is meant to be entered in Eclipse, not in the browser. The Sequoyah Android plug ins is awesome, this is one plug-in that you need in order to avoid the Command Line stuff. Select Programming Languages and select/check C/C++ Development Tools

#Setup opencv in eclipse for mac install#

Install Eclipse C/C++ Development ToolsДЄfter Eclipse is installed, run it and go to the menu-> Help->Install New Software. This product includes software developed by theДЄndroid SDK can be retrieved from. (c) Copyright Eclipse contributors and others 2000, 2011. HereвЂ™s the Eclipse About box in case you need it for reference or want to use the exact same one: I am using Eclipse Indigo for this guide. Since Eclipse installation basically only involves extracting the files (and having Java installed), you can have multiple copies of Eclipse as long as they are in different folders. I recommend starting out with a fresh Eclipse install to avoid unnecessary headache altogether. Further complexity added byВ many different Eclipse versions and configurations, conflicting plug-ins, missing prerequisted plug-ins, etc. You need to install a lot of components, change paths, change settings, and more. There is not a single package which allows you to just sit back and install just one thing. Let me warn beforehand you that getting the NDK to work can be frustrating - things can go wrong in different parts.

#Setup opencv in eclipse for mac how to#

This guide assumes that you have already have a basic Android SDK set-up and you know how to compile and run the regular sample projects, as wellВ as creating basic projects. Luckily as Android matures, there are several plug-ins that simplifies this, such as Sequoyah. Most NDK techniques requires the use of command-line and some sort of Linux shell and that one thing that I reallyВ dreaded, but if you are brave enough hereвЂ™s a link to the documentation.

#Setup opencv in eclipse for mac code#

Porting from a large C/C++ code-base, for code reuse, to save time and efforts. Execution speed (Java is almost always slower than C/C++ and it is easier to optimize C/C++ code than Java code).Дў. Why use JNI? I can think of two obvious answers:ДЎ. You still need to use Java to call the Native Interfaces, but you can code most of you app in C/C++.

In Android world, JNI is supported through the Android NDK (I think NDK stands for Native Development Kit but even Google doesnвЂ™t say what it really stands for on their page: ).

As Kyle commented below, you can copy the content of folder вЂњ C:/opencv/build/python2.7вЂќ (for opencv 2.2: C:/OpenCV2.2/Python2.What is JNI? JNI is a set of specifications/framework that allows Java code to call C/C++ native code.

Update: For OpenCV2.3, There are two other options for this step:

Create PYTHONPATH variable and put вЂњ C:/OpenCV2.2/Python2.7/Lib/site-packagesвЂќ as value.

Add вЂњ C:/Python2.7 C:/OpenCV2.2/binвЂќ to PATH variable (You need to change the directory to where you install Python and OpenCV).

Step 4: Setup Windows Path in Environment Variables Step 3: Download and install NumPy 1.6.1 and SciPy 0.9.0 from: (you need to choose the files which support Python 2.7) Note that this version only supports Python 2.7 (not 3.x). Step 2: Download and install OpenCV 2.2 from OpenCV Sourceforge. OpenCV currently does not work with Python 64bit. You need to install the 32bit version of Python. Step 1: Download and install Python 2.7 from Python site. My setup is for OpenCV 2.2 but I think you can apply for any version of OpenCV. So I decide to write this post to help myself in the future and share with you =). I have always struggled when trying to set up OpenCV for Python before. Setup OpenCV for Python in Windows | Luu Gia Thuy