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* Adding third party dep on opencv
* Adding opencv target in openvx
* Adding openvx samples
* Document update to opencv target
* Got opencv orb sample to run
* More readme updates
* fixed build issue on linux and asan warning
* Fixed typo
* fix unit test
<ahref="https://www.khronos.org/openvx/"target="_blank">Khronos OpenVX™</a> is an open, royalty-free standard for cross-platform acceleration of computer vision applications. OpenVX enables performance and power-optimized computer vision processing, especially important in embedded and real-time use cases such as face, body, and gesture tracking, smart video surveillance, advanced driver assistance systems (ADAS), object and scene reconstruction, augmented reality, visual inspection, robotics and more.
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In this project, we provide samples that use our optimized libraries to build applications that showcase potential usage or may used as reference to develop your own products.
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## Bubble Pop
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In this sample we will create an OpenVX graph to run Bubble Pop on a live camera. This sample application uses <ahref="https://en.wikipedia.org/wiki/OpenCV"target="_blank">OpenCV</a> to decode input image, draw bubbles/donuts and display the output.
In this sample we will create an OpenVX graph to run canny edge detection on an image or a live camera. This sample application uses <ahref="https://en.wikipedia.org/wiki/OpenCV"target="_blank">OpenCV</a> to decode input image and display the output.
This sample [application](./optical_flow/README.md#openvx-samples) we will create an OpenVX graph to run Optical Flow on a video/live. This sample application uses <ahref="https://en.wikipedia.org/wiki/OpenCV"target="_blank">OpenCV</a> to decode input video and display the output.
In this sample we will create an OpenVX graph to run skintone detection on an image or a live camera. This sample application uses <ahref="https://en.wikipedia.org/wiki/OpenCV"target="_blank">OpenCV</a> to decode input image and display the output.
In this sample we will create an OpenVX graph to run ORB (Oriented FAST and Rotated BRIEF) on a live camera. This sample application uses <ahref="https://en.wikipedia.org/wiki/OpenCV"target="_blank">OpenCV</a> to detect and display keypoints.
In this sample we will create an OpenVX graph to run Bubble Pop on a live camera. This sample application uses <ahref="https://en.wikipedia.org/wiki/OpenCV"target="_blank">OpenCV</a> to decode input image, draw bubbles/donuts and display the output.
***Step - 1:** Build and install [Conformant OpenVX Implementation](https://github.com/KhronosGroup/OpenVX-sample-impl). In this example we will use the OpenVX Sample Implementation available on [GitHub](https://github.com/KhronosGroup/OpenVX-sample-impl)
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```
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Build OpenVX on Linux
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* Git Clone project with a recursive flag to get submodules
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