Python bindings support for KLT tracker.Wrapping of cuda buffers in python bindings to allow efficient use of VPI together with other libraries.Image Views / Crop on CPU and GPU backends.Optical Flow Accelerator (OFA) backend for Stereo Disparity for Jetson AGX Orin.Horizontal and Vertical Image Flip on CPU, GPU and VIC backends.JetPack 5.0/5.0.1 Developer Preview VPI 2.0 OpenCV is an open source library for computer vision, image processing and machine learning. VPI (Vision Programing Interface) is a software library that provides Computer Vision / Image Processing algorithms implemented on PVA 1 (Programmable Vision Accelerator), GPU and CPU Refer to migration guide to migrate from nvbuf_utils to NVUtils. New NVUtils Multimedia buffer management and buffer transformation API1ġ nvbuf_utils is deprecated.JetPack 5.0/5.0.1 Developer Preview Multimedia highlights include: V4L2 for encode opens up many features like bit rate control, quality presets, low latency encode, temporal tradeoff, motion vector maps, and more. Sensor driver API: V4L2 API enables video decode, encode, format conversion and scaling functionality. In either case, the V4L2 media-controller sensor driver API is used. RAW output CSI cameras needing ISP can be used with either libargus or GStreamer plugin. ![]() The Jetson Multimedia API package provides low level APIs for flexible application development.Ĭamera 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. JetPack 5.0/5.0.1 Developer Preview includes CUDA 11.4.4 The toolkit includes a compiler for NVIDIA GPUs, math libraries, and tools for debugging and optimizing the performance of your applications. ![]() JetPack 5.0/5.0.1 Developer Preview includes cuDNN 8.3.2ĬUDA Toolkit provides a comprehensive development environment for C and C++ developers building GPU-accelerated applications. It provides highly tuned implementations for standard routines such as forward and backward convolution, pooling, normalization, and activation layers. JetPack 5.0/5.0.1 Developer Preview includes TensorRT 8.4.0 Early AccessĬUDA Deep Neural Network library provides high-performance primitives for deep learning frameworks. It includes a deep learning inference optimizer and runtime that delivers low latency and high-throughput for deep learning inference applications. TensorRT is built on CUDA, NVIDIA’s parallel programming model, and enables you to optimize inference for all deep learning frameworks. TensorRT is a high performance deep learning inference runtime for image classification, segmentation, and object detection neural networks. New Jetson Power GUI: Tool for monitoring the power and thermal status of Jetson platform.Support for NVSCI: Provides utilities for streaming data packets between different applications and for inter process communication (IPC).Ubuntu 20.04 based reference file system. ![]()
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