![]() To test your camera with the VMware image, double click the “Click_Here_To_Test_Your_Camera” icon in the upper left corner of the Ubuntu Desktop. Connecting the camera to the VMware image For correct operation your webcam should have a check mark next to it, as shown by the Logitech USB device (my web camera) in Figure 4.įigure 4. Then select “Removable Devices” and look for your webcam in the list. Find the “Virtual Machine” button in the top of the VMware window as shown highlighted in Figure 4. To connect the webcam to the VMware image, plug the webcam into your computer’s USB port and follow the menus shown in Figure 4. To shut down the VMware image, click the “power button” in the upper right corner of the Ubuntu desktop and select “Shut Down.” You may see some warnings upon opening the VMware image concerning “Removable Devices.” If so, simply click “OK.” In addition, depending on which version of VMware player you have, you may get a window concerning “Software Updates.” Simply click “Remind Me Later.”įigure 3. If you have VMware player correctly installed, you should see the Ubuntu desktop as shown in Figure 1. Double-click the vmx file highlighted by the arrow in Figure 3. ![]() After downloading the zip file from the Embedded Vision Academy, unzip it into a folder. To use the image on Windows, you must also download the free VMware player. To get started, first download the BDTI Quick-Start OpenCV Kit from the Embedded Vision Academy. Be sure to install the Windows drivers provided with the camera on your Windows system. Logitech USB web cameras have been tested with this image, specifically the Logitech C160. Eclipse integrated development environment installed in the BDTI VMware imageĪ USB webcam is required to use the examples provided in the BDTI Quick-Start OpenCV Kit. Five example Eclipse projects are included to seed your own projects.įigure 2. The Eclipse integrated development environment is also installed and configured for debugging OpenCV applications. Various examples are included along with a framework so you can get started with your own vision algorithms immediately. OpenCV 2.3.0 has been preinstalled and configured in the image, along with the GNU C compiler and tools (gcc version 4.4.3). The Ubuntu desktop is intuitive and easy to use. The BDTI Quick-Start OpenCV Kit uses Ubuntu 10.04 for the OS. Ubuntu desktop installed in the BDTI VMware image If you believe that the BDTI OpenCV VMware image contains elements that should not be distributed in this way, please contact us.įigure 1. If you have questions about any of these licenses, please contact the authors of the package in question. Please refer to the licenses associated with each package to understand what uses are permitted. Please note that the BDTI Quick-Start OpenCV Kit contains numerous open source software packages, each with its own license terms. For more information about OpenCV and other OpenCV tools from BDTI, go here. This article describes the process of installing and using the BDTI Quick-Start OpenCV Kit. The BDTI Quick-Start OpenCV Kit can be run on any Windows computer by using the free VMware player, or on Mac OS X using VMware Fusion. This makes it easy to quickly get OpenCV running and to start developing vision algorithms using OpenCV. To make it as easy as possible to start using OpenCV, BDTI has created the Quick-Start OpenCV Kit, a VMware image that includes OpenCV and all required tools preinstalled, configured, and built. The OpenCV development team has made great strides in simplifying the OpenCV build process, but it can still be time consuming. The most difficult part of using OpenCV is building the library and configuring the tools. ![]() The library supports C, C++, and Python and has been ported to Windows, Linux, Android, MAC OS X and iOS. The OpenCV library supports over 2,500 functions and contains dozens of valuable vision application examples. ![]() Originally released in 2000, it has been downloaded over 3.5 million times. ![]() OpenCV is a powerful tool for prototyping embedded vision algorithms. OpenCV is an open-source software component library for computer vision application development. ![]()
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