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- Add VPI library introduction to README
- Update minimum Holoscan version to 2.1.0
- Update CMake scripts to download precompiled libraries in build time
Signed-off-by: Mehmet Umut Demircin <mdemircin@nvidia.com>
Copy file name to clipboardExpand all lines: applications/precompiled_pva/README.md
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@@ -25,7 +25,7 @@ The PreCompiledPVAExecutor operator performs an image sharpening operation in th
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2. Apply a 5x5 unsharp mask filter on the luminance color plane.
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3. Convert the enhanced image back to the RGB format.
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The [VPI library](https://developer.nvidia.com/embedded/vpi) offers numerous algorithm examples that leverage the PVA as the backend.
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Numerous algorithm examples leveraging the PVA can be found in the [Vision Programming Interface (VPI) library](https://developer.nvidia.com/embedded/vpi). VPI enables computer vision software developers to utilize multiple compute engines simultaneously—including CPU, GPU, PVA, VIC, NVENC, and OFA—through a unified interface. For comprehensive details, please refer to the [VPI Documentation](https://docs.nvidia.com/vpi/index.html).
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