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The new T-API in Emgu CV version 3.0 "can automatically use OpenCL engine to perform the operation if a suitable OpenCL device is found. That means it will run many times faster on a system with a discrete GPU (Nvidia, AMD, Intel Iris Pro etc). On systems that do not have a OpenCL devices, the code will be run on CPU and have the same performance as if we are passing the Image<,> or Mat objects to the CvInvoke function."
The new T-API in Emgu CV version 3.0 "can automatically use OpenCL engine to perform the operation if a suitable OpenCL device is found. That means it will run many times faster on a system with a discrete GPU (Nvidia, AMD, Intel Iris Pro etc). On systems that do not have a OpenCL devices, the code will be run on CPU and have the same performance as if we are passing the Image<,> or Mat objects to the CvInvoke function."
Details on Emgu CV wiki: http://www.emgu.com/wiki/index.php/Tutorial#Upgrading_from_Emgu_CV_2.x_to_3.x
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