Setting Up ADBUSB Drivers for Android Devices in Linux UbuntuIf you are like me and like developing in Linux, then you will find this guide useful. When I was setting up everything for my Android development, I ran into the problem that Linux was not recognizing my Android phone, and took me some time figuring out how to make Linux recognize my phone. Finally, after some research I was able to put this little guide together and decided to share it with the rest of the world. ADB Android Debug Bridge is a handy tool that comes with Android SDK that allows you to control and interface with your Android device. Update 0. 62. 31. Updated steps in How To. Update 0. 72. 91. In step 4, Android 4. Developer Options hidden. Install Latest Nvidia Driver In Ubuntu 12.04' title='Install Latest Nvidia Driver In Ubuntu 12.04' />Added steps to make it visible. Update 0. 52. 71. Updated platform tools ADB to latest version Revision 1. Update 0. 20. 41. HTC changed its Vendor ID, older phones have different ID than newer phones. Refer to USB Vendor IDs table at the bottom of this tutorial to see the change. Update 0. 10. 21. By mistake I had linked the ADB tool for OSX in step 3. Java Snake Game Source Code'>Java Snake Game Source Code. Now it should be the correct one for Linux. Safari Downloads Pdf As Html Fonts there. IMPORTANT Update 1. There has been a change to the new Android SDK. ADB Tool has been moved to android sdk linuxx. SDK, please download the new one and update your path Step 9. If this is your first time doing this, then disregard the update and continue with the tutorial. Update 0. 92. 11. Working code with Ubuntu Lucid Lynx and added more USB vendor IDs. Download the latest Android SDK from Google Android SDKExtract the TGZ file to your homeYOUR USERNAME directory. To get ADB, you need to install the SDK Installing the SDKIf you are not a developer and not planning to develop, then just download the following zip file containing only the ADB tool and proceed with the tutorial ADBDownload the SDK Platform Tools for Linux and extract the zip file. On your phone, click Settings Developer Options and make sure Android Debugging is on. In Android 4. 2. x and up Developer Options is hidden, to make it visible, do the following. Tap seven times in Build Number Settings About Phone Build Number. You will get a message saying you have enabled Developer Options or something like that, go back to Settings and you will see Developer Options in there. Login as root and create this file etcudevrules. NOTE In the above file replace with the number 5. GustyHardyDapper 5. Karmic KoalaLucid LynxMaverick Meerkat7. Or simply type in terminal sudo gedit etcudevrules. The file should read. For GustyHardy SUBSYSTEMusb, SYSFSid. Vendor0bb. 4, MODE0. For Dapper SUBSYSTEMusbdevice, SYSFSid. Esn_LtJ218/UPJ42W4gv6I/AAAAAAAAASw/7ZRYMzXcxWg/s1600/undistract-me-notification-make.png' alt='Install Latest Nvidia Driver In Ubuntu 12.04' title='Install Latest Nvidia Driver In Ubuntu 12.04' />Grab a deadly collection of chilling Steam games in the brand new Revenant Bundle, available for a limited time only Lspci grep i VGA. If you see details for an Nvidia card, head to the RPM Fusion site and install the free and nonfree packages for your version of Fedora. I discovered several issues with wifi connection after installing 16. LTS. First, wifi doesnt reconnect normally after sleep or hibernation. Sometimes the network. Vendor0bb. 4, MODE0. For Karmic Koala SUBSYSTEMusb, SYSFSid. Vendor0bb. 4, MODE0. For Lucid Lynx SUBSYSTEMusb, SYSFSid. Vendor0bb. 4, MODE0. For Maverick Meerkat SUBSYSTEMusb, ATTRid. Vendor0bb. 4, MODE0. NOTE In the above lines the code 0bb. HTC device. If your phone is from a different manufacturer, replace the code with the appropriate from the table below. NOTE If you copy one of the lines mentioned above, make sure you replace the quotation marks with the ones in your keyboard, as these have different display code and it might give you a no permissions error. Execute sudo chmod arx etcudevrules. Reboot. To run ADB you need to add an environment variable to your bashrc file. Open a terminal window and type sudo gedit. Add the following line at the end export PATHPATH homeYOUR USERNAMEandroid sdk linuxx. Save and close. You should be ready to go, type adb devices in a terminal window with your phone plugged in. If you see a serial number pop up that means you are done. PwliiteM/UEySmgF2hTI/AAAAAAAAGW4/jzOdSRfeTCQ/s640/recovery-mode-ubuntu-3.png' alt='Install Latest Nvidia Driver In Ubuntu 12.04' title='Install Latest Nvidia Driver In Ubuntu 12.04' />Should look something like this. List of devices attached. HT9. 9PHF0. 25. 21 device. If for some reasons when running adb devices gives you a no permissions error, try typing the following in terminal. USB Vendor IDs. Manufacturer. USB Vendor IDAcer. Dell. 41. 3c. Foxconn. Garmin Asus. 09. EHTC Older Phones0bb. HTC Newer phones1. Huawei. 12d. 1Kyocera. LG1. 00. 4Motorola. Nexus OneS1. 8d. Nvidia. Pantech. A9. Samsung. Sharp. 04dd. Sony Ericsson. ZTE1. 9D2 Lists which devices are currently attached to your computer. Drops you into a basic linux command shell on your phone with no parameters, or lets you run commands directly. Lets you install an Android application on your phone. Remounts your system in write mode this lets you alter system files on your phone using ADB. Rets you upload files to your phones filesystem. Lets you download files off your phones filesystem. Starts dumping debugging information from your handset to the console useful for debugging your apps. Now, as for the credits, I took The. Unlockr How To for Windows as a base for this guide. If you liked this tutorial, please retweet andor share Full Stack Software Engineer working with Microsoft technologies, React. JS is awesome and avid Brazilian Jiu Jitsu practitioner. Installing Open. CV 2. Ubuntu 1. 1. 0. 4 Sebastian Montabone. UPDATE You can also install Open. CV 3. 2. 0 in Ubuntu 1. LTS. Many people have used my previous tutorial about installing Open. CV 2. 1 in Ubuntu 9. In the comments of that post, I noticed great interest for using Open. CV with Python and the Intel Threading Building Blocks TBB. Since new versions of Open. CV and Ubuntu are available, I decided to create a new post with detailed instructions for installing the latest version of Open. CV, 2. 2, in the latest version of Ubuntu, 1. Python and TBB support. First, you need to install many dependencies, such as support for reading and writing image files, drawing on the screen, some needed tools, etc This step is very easy, you only need to write the following command in the Terminal. Now we need to get and compile the ffmpeg source code so that video files work properly with Open. CV. This section is partially based on the method discussed here. The next step is to get the Open. CV 2. 2 code. wget http downloads. Open. CV 2. 2. 0. Open. CV 2. 2. 0. Open. CV 2. 2. 0. Now we have to generate the Makefile by using cmake. In here we can define which parts of Open. CV we want to compile. Since we want to use Python and TBB with Open. CV, here is where we set that. Just execute the following line at the console to create the appropriate Makefile. Note that there is a dot at the end of the line, it is an argument for the cmake program and it means current directory. D WITHTBBON D BUILDNEWPYTHONSUPPORTON D WITHV4. LOFF D INSTALLCEXAMPLESON D INSTALLPYTHONEXAMPLESON D BUILDEXAMPLESON. Check that the above command produces no error and that in particular it reports FFMPEG as 1. If this is not the case you will not be able to read or write videos. Also, check that Python reports ON and Python numpy reports YES. Also, check that under Use TBB it says YES. If anything is wrong, go back, correct the errors by maybe installing extra packages and then run cmake again. You should see something similar to this Now, you are ready to compile and install Open. CV 2. 2. sudo make install. Now you have to configure Open. CV. First, open the opencv. Add the following line at the end of the fileit may be an empty file, that is ok and then save it. Run the following code to configure the library. Now you have to open another file. Add these two lines at the end of the file and save it. PKGCONFIGPATHPKGCONFIGPATH usrlocallibpkgconfig. PKGCONFIGPATH. Finally, close the console and open a new one, restart the computer or logout and then login again. Open. CV will not work correctly until you do this. There is a final step to configure Python with Open. CV. You need to copy the file cv. You can do that by just executing the following command. Now you have Open. CV 2. 2 installed in your computer with Python and TBB support. Lets check some demos included in Open. CV. First, lets see some C demos. Open. CV 2. 2. 0samplesc. Some of the training data for object detection is stored in usrlocalshareopencvhaarcascades. You need to tell Open. CV which training data to use. I will use one of the frontal face detectors available. Lets find a face. Note the scale parameter. It allows you to increase or decrease the size of the smallest object found in the image faces in this case. Smaller numbers allows Open. CV to find smaller faces, which may lead to increasing the number of false detections. Also, the computation time needed gets larger when searching for smaller objects. You can also detect smaller objects that are inside larger ones. For example you can search for eyes inside any detected face. You can do that with the nested cascade parameter. Feel free to experiment with other features like mouth or nose for example using the corresponding cascades provided in the haarcascades directory. Now lets check some C demos. Open. CV 2. 2. 0samplescpp. Now all the C demos are built in Open. CV 2. 2. 0bin. Lets see a couple of them. For example, a simulated chessboard calibration. Open. CV 2. 2. 0bincalibrationartificial. In Open. CV 2. 2, the grabcut algorithm is provided as a C sample. This is a very nice segmentation algorithm that needs very little user input to segment the objects in the image. For using the demo, you need to select a rectangle of the area you want to segment. Then, hold the Control key and left click to select the background in Blue. After that, hold the Shift key and left click to select the foreground in Red. Then press the n key to generate the segmentation. You can press n again to continue to the next iteration of the algorithm. Open. CV 2. 2. 0bingrabcut Open. CV 2. 2. 0samplescpplena. This image shows the initial rectangle for defining the object that I want to segment. Now I roughly set the foreground red and background blue. When you are ready, press the n key to run the grabcut algorithm. This image shows the result of the first iteration of the algorithm. Now lets see some background subtraction from a video. The original video shows a hand moving in front of some trees. Open. CV allows you to separate the foreground hand from the background trees. Open. CV 2. 2. 0binbgfgsegm Open. CV 2. 2. 0samplesctree. And finally, lets see Python working with Open. CV. cd Open. CV 2. Lets run the kmeans. This script starts with randomly generated 2. D points and then uses a clustering method called k means. Each cluster is presented in a different color. Now lets see the convexhull. This algorithm basically calculates the smallest convex polygon that encompasses the data points. Python scripts can also be executed directly like the following example. This script reads a video file. Have fun with Open. CV in C, C or Python.