Difference between revisions of "CUDA ISP for NVIDIA Jetson/Examples/ API usage"
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== General == | == General == | ||
| − | auto backend = rr::IBackend::Build(rr:: | + | |
| + | 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. | ||
| + | |||
| + | auto backend = rr::IBackend::Build(rr::kCUDA); | ||
| + | |||
| + | |||
| + | auto shift = backend->CreateAlgorithm(rr::kShift); | ||
| + | auto debayer = backend->CreateAlgorithm(rr::kDebayer); | ||
| + | auto white_balancer = backend->CreateAlgorithm(rr::kWhiteBalancer); | ||
== AWB == | == AWB == | ||
Revision as of 11:52, 6 March 2023
| CUDA ISP for NVIDIA Jetson | |
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| CUDA ISP for NVIDIA Jetson Basics | |
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| Getting Started | |
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| User Manual | |
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| GStreamer | |
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| Examples | |
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| Performance | |
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| Contact Us | |
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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.
auto backend = rr::IBackend::Build(rr::kCUDA);
auto shift = backend->CreateAlgorithm(rr::kShift); auto debayer = backend->CreateAlgorithm(rr::kDebayer); auto white_balancer = backend->CreateAlgorithm(rr::kWhiteBalancer);
AWB
Debayer
Shift
