Do any of the Software Modules take advantage of the hardware accelerators in the BF60x devices, namely the PVP and PIXC?
BF60x is supported in many software modules now that are listed in www.analog.com/BlackfinModules . Please go to the respective Web pages for the software modules and look under the heading of Related Hardware. If you find mention of ADSP-BF609 EZ-Board, then you know that a real time demo of the product is available on the BF609 EZ-Kit and a library is available for BF60x proecessor family.
Real time demonstrations to showcase PVP is available in Blackfin Vision Analytics Toolbox ( www.analog.com/bf-vat ) and now we have Face Detection, Iris Detection, Defect Detection functionality available in addition to Canny Edge Detection, Shape Detection as in the earlier released products.
Usage of PIXC is demonstrated in the Blackfin 2D Graphics Library (BF2DGL-OCV) Rel 2.0.0 onwards. This release will come on the web pages very soon.
At present, we have not released software modules that demonstrates how to use PVP eficiently. Please keep a watch on our Blackfin software modules page. We will release a software module called Blackfin Vision Analytics Toolbox (VAT) that will demonstrate how to solve computer vision problems like Canny Edge Detection using PVP and Blackfin core.
I would also like to add that in Blackfin Vision Analytics Toolbox software module, there will be examples which will show (demonstrate) how to configure PVP so that it will be easy for users to understand and make changes to configuration themselves.It will use the PVP drivers API that has been released with CCES release.
We have released the software module Blackfin Vision Analytics Toolbox (Release 2.2.0) which shows(demonstrates) how to configure PVP and run expensive image processing functions like Canny Edge Detection. Other examples like Shape detection, Hough Transform for Circle and Classifiers are available which uses the hardware accelerator PVP output. At present you can request for it by filling in the online form at www.analog.com/SRF.
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