This is the Windows app named GPU Edge Detector to run in Windows online over Linux online whose latest release can be downloaded as GPUEdgeDetector-2.5.1-linux-binary.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named GPU Edge Detector to run in Windows online over Linux online with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.
- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application and install it.
- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.
Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.
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GPU Edge Detector to run in Windows online over Linux online
DESCRIPTION
This is a standalone, all in one Edge Detector that is mainly running on GPU using the CUDA technology. Each algorithm also has an OpenCV counterpart which is the closest one in terms of speed.This project is partly based on the Sobel Filter sample available as part of the CUDA SDK.
This project also partly uses the OpenCV library to load different types of image.
This program includes: Prewitt filter, Roberts Cross, Canny edge detector and finally Sobel filter with the ability to modify some variables such as sigma in Canny and see the result in real-time.
To access and download the code, please review the code section. (The code section is currently close until our article gets published)
Commiting publicly to the project is currently closed but feel free to email us.
The source code is dependant on CUDA 5.0 Samples now available as part of the CUDA Toolkit.
"This software contains source code provided by NVIDIA Corporation."
Features
- All-in-one edge detector
- Implemented on GPU using CUDA to be fast
- Live output of each filter with the ability to change between filters
- Change all the variables like threshold and sigma in Canny and brightness and immediately see the result
- Load any input image
Audience
Healthcare Industry, Education
User interface
OpenGL
Programming Language
C
This is an application that can also be fetched from https://sourceforge.net/projects/gpuedgedetector/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
