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. Updated nvgstcapture-1.0 with option of software encoding on CPU coresġPrevious releases supported upgrading Xavier based modules in the field running JetPack 4. ![]() New argus_camera_sw_encode sample for demonstrating software encoding on CPU cores.Support for dynamic frame rate in AV1 encoding.Enhanced resilience of Argus SyncStereo app to maintain synchronization between stereo camera pairs.Support for Multi Point Lens Shading Correction (LSC) on Orin.Image Based OTA tools supported to upgrade Xavier or Orin based modules running JetPack 5 in the field 1.Adds support for Jetson AGX Orin 64GB, Jetson Orin NX 8GB, Jetson Orin Nano 8GB and Jetson Orin Nano 4GB production modules.Adds support for Jetson Orin Nano Developer Kit.JetPack 5.1.1 includes Jetson Linux 35.3.1 which adds following highlights: (Please refer to release notes for additional details) NVIDIA Jetson Linux 35.3.1 provides the Linux Kernel 5.10, UEFI based bootloader, Ubuntu 20.04 based root file system, NVIDIA drivers, necessary firmwares, toolchain and more.
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