Difference between revisions of "CUDA ISP for NVIDIA Jetson/Examples/ API usage"
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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. | ||
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[[ File:Api usage example 2.jpeg | center ]] | [[ File:Api usage example 2.jpeg | center ]] | ||
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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. | ||
Revision as of 11:22, 14 March 2023
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| CUDA ISP for NVIDIA Jetson Basics | |
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| Getting Started | |
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General
CUDA ISP provides several algorithms to process raw image data from a camera sensor in a variety of ways.
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.
We first create a backend object. The backend object provides factories to create algorithms and buffers. We specify CUDA as the desired backend type.
auto backend = rr::IBackend::Build(rr::kCUDA);
The creation of any given algorithm requires a single function call:
auto shift = backend->CreateAlgorithm(rr::kShift); auto debayer = backend->CreateAlgorithm(rr::kDebayer); auto white_balancer = backend->CreateAlgorithm(rr::kWhiteBalancer); auto color_space_converter = backend->CreateAlgorithm(rr::kColorSpaceConverter);
The shift object converts BAYERXX formats (BAYER10, BAYER12, BAYER14, or BAYER16) into a BAYER8 format. Each pixel in a BAYERXX format takes up 16 bits of information, but with the appropiate rightwards bit shift, the 8 most significant bits can be placed in the 8 least significant bit positions of the pixel memory. The shift object then completes the BAYERXX to BAYER8 conversion by only returning the 8 least significant bits of each pixel.
The debayer object converts BAYER8 to either RGB or RGBA.
