Jetson Nano Developer KitDownload the SD Card image below. And follow the steps at Getting Started with Jetson Nano Developer Kit. | Jetson AGX Xavier, TX2, and Nano Developer KitsDownload the NVIDIA SDK Manager to install JetPack. |
OS | NVIDIA L4T provides a sample filesystem derived from Ubuntu, along with Linux kernel, bootloader, NVIDIA drivers, flashing utilities, and more.
JetPack 4.2 Highlights:
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TensorRT | TensorRT is a high performance deep learning inference runtime for image classification, segmentation, and object detection neural networks. It speeds up deep learning inference as well as reducing the runtime memory footprint for convolutional and deconv neural networks. JetPack 4.2 Highlights:
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cuDNN | CUDA Deep Neural Network library provides high-performance primitives for deep learning frameworks. It includes support for convolutions, activation functions and tensor transformations. JetPack 4.2 Highlights:
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CUDA | CUDA Toolkit provides a comprehensive development environment for C and C++ developers building GPU-accelerated applications. The toolkit includes a compiler for NVIDIA GPUs, math libraries, and tools for debugging and optimizing the performance of your applications. JetPack 4.2 Highlights:
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Multimedia API | The Jetson Multimedia API package provides low level APIs for flexible application development. 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. Sensor driver API: V4L2 API enables video decode, encode, format conversion and scaling functionality. V4L2 for encode opens up many features like bit rate control, quality presets, low latency encode, temporal tradeoff, motion vector maps, and more. JetPack 4.2 Highlights:
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Computer Vision | VisionWorks is a software development package for Computer Vision (CV) and image processing. OpenCV is the leading open source library for computer vision, image processing and machine learning, and now features GPU acceleration for real-time operation. | ||||
Developer Tools | CUDA Toolkit provides a comprehensive development environment for C and C++ developers building high-performance GPU-accelerated applications with CUDA libraries. The toolkit includes Nsight Eclipse Edition, debugging and profiling tools, and a toolchain for cross-compiling applications. NVIDIA Nsight Systems is a low overhead system-wide profiling tool, providing the insights developers need to analyze and optimize software performance. NVIDIA Nsight Graphics is a standalone application for debugging and profiling graphics applications. JetPack 4.2 Highlights:
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