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NVIDIA Jetson Orin/JetPack 5.0.2/Getting Started/Components: Difference between revisions
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* '''Toolchain''': aarch64 gcc-9.3-glibc-2.31 for 64-bit Kernel and user space. | * '''Toolchain''': aarch64 gcc-9.3-glibc-2.31 for 64-bit Kernel and user space. | ||
* '''Jetson Power GUI''': a new tool for monitoring the power and thermal status of the Jetson platform. | * '''Jetson Power GUI''': a new tool for monitoring the power and thermal status of the Jetson platform. | ||
=== Multimedia API === | |||
The Jetson Linux API Reference describes several APIs and extensions that are implemented in NVIDIA® Jetson™ Linux Driver Package (L4T). You can use these APIs to customize aspects of your Jetson device's behavior. | |||
Camera application API: libargus offers a low-level frame-synchronous API for camera applications, with per frame camera parameter control, multiple (including synchronized) camera support, and EGL stream outputs. RAW output CSI cameras needing ISP can be used with either libargus or GStreamer plugin. In either case, the V4L2 media-controller sensor driver API is used. | |||
The Multimedia APIs are separate from the GStreamer framework, which provides high-level APIs. That framework is included in current and previous releases. | |||
JetPack 5.0 Developer Preview Multimedia highlights include: | |||
* New NVUtils Multimedia buffer management and buffer transformation API. | |||
== CUDA == | == CUDA == | ||
| Line 213: | Line 227: | ||
cuDNN is an NVIDIA library used by deep learning frameworks to accelerate common components, such as pooling, normalization, and backward convolution. Jetpack 5.0 comes with cuDNN 8.3.2, including bugfixes and new enhancements. | cuDNN is an NVIDIA library used by deep learning frameworks to accelerate common components, such as pooling, normalization, and backward convolution. Jetpack 5.0 comes with cuDNN 8.3.2, including bugfixes and new enhancements. | ||
<br> | <br> | ||
== TensorRT == | == TensorRT == | ||
TensorRT is a framework created and published by NVIDIA for deep learning inference runtime. Jetpack 5.0 Developer Preview includes TensorRT 8.4.0 Early Access (EA). This EA is for early testing and feedback. For production, the documentation recommends continuing to use TensorRT 8.2.3 or later TensorRT 8.2.x patch. | TensorRT is a framework created and published by NVIDIA for deep learning inference runtime. Jetpack 5.0 Developer Preview includes TensorRT 8.4.0 Early Access (EA). This EA is for early testing and feedback. For production, the documentation recommends continuing to use TensorRT 8.2.3 or later TensorRT 8.2.x patch. This version of TensorRT has support for CUDA 11.x. | ||
TensorRT 8.4.0 EA has been tested with the following: | TensorRT 8.4.0 EA has been tested with the following dependencies versions: | ||
* cuDNN 8.3.2 | * cuDNN 8.3.2 | ||
* TensorFlow 1.15.5 | * TensorFlow 1.15.5 | ||
* PyTorch 1.9.0 | * PyTorch 1.9.0 | ||
<br> | |||
== | == OpenCV == | ||
OpenCV is an Open Source library for computer vision tasks. Jetpack 5.0 supports OpenCV version 4.5.4. | |||
== Vision Programming Intervace (VPI) == | |||
VPI is a library provided by NVIDIA to easily take advantage of the power of the Programmable Vision Accelerator and the GPU. It brings Computer Vision and Image Processing algorithms implemented to run the PVA, OFA (Optical Flow Accelerator), GPU, and CPU. Jetpack 5.0 comes with VPI 2.0 version. To learn more about how you can use VPI along with GStreamer, visit our [[NVIDIA_Jetson_Orin/RidgeRun_Products/GstVPI|GstVPI]] section. | |||
<br> | |||