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CUDA ISP for NVIDIA Jetson/Examples/ API usage: Difference between revisions

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Here we illustrate a simple example that involves all the basic algorithms. This example takes a raw BAYER10 image, converts it to a BAYER8 image, then converts it to a RGB image, then applies automatic white balancing on the image, then converts it to I420 format. A simple process of this type might be used to encode camera information into a video file or a network stream.
Here we illustrate a simple example that involves all the basic algorithms. This example takes a raw BAYER10 image, converts it to a BAYER8 image, then converts it to a RGB image, then applies automatic white balancing on the image, then converts it to I420 format. A simple process of this type might be used to encode camera information into a video file or a network stream.
[[ File:Api usage example 2.jpeg ]]


We first create a backend object. The backend object provides factories to create algorithms and buffers. We specify CUDA as the desired backend type.
We first create a backend object. The backend object provides factories to create algorithms and buffers. We specify CUDA as the desired backend type.
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