l4t
There are 13 repositories under l4t topic.
enazoe/yolo-tensorrt
TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.
jocover/jetson-ffmpeg
ffmpeg support on jetson nano
jetsonhacks/jetsonUtilities
Get information about the NVIDIA Jetson OS environment. Lists L4T and JetPack versions, along with major libraries.
cobalt2727/L4T-Megascript
All-in-one installer and updater for popular programs on L4T Ubuntu/Fedora with no prior knowledge of Linux needed
noahmr/yolov5-tensorrt
Real-time object detection with YOLOv5 and TensorRT
jetsonhacks/installROSXavier
Install Robot Operating System (ROS) on the NVIDIA Jetson AGX Xavier Developer Kit
jetsonhacks/buildJetsonXavierNXKernel
Build the linux kernel and modules on board the Jetson Xavier NX.
PINTO0309/jetson-tensorflow-pytorch-build
Provides an environment for compiling TensorFlow or PyTorch with CUDA for aarch64 on an x86 machine. This is for Jetson. If you build using an EC2 m6g.16xlarge (aarch64) instance, TensorFlow can be fully built in about 30 minutes. It can be used as a cross-compilation environment not only for TensorFlow and PyTorch, but also for various other packages and libraries.
noahmr/zed-yolov5
Object detection with YOLOv5, TensorRT and Stereolabs ZED
gt-flexr/nvmpi-portable
HW-accelerated Encoding/Decoding Library for NVIDIA Jetson with L4T, jetson-ffmpeg, opencv4
iomz/docker-diffusers-jetson
Simple docker image for Diffusers on Jetson devices
kelceydamage/raspi-rtl
RASPI Transport Layer. This is the communication backbone for the RASPI project.
gsivaych/nvidiaJetsons
Nvidia Jetson embedded systems - getting started, handy scripts & references.