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add-missing-end-of-line-in-sources-filess-

capture_and_display_v4l2_app

An app to capture frames from a camera using V4L2 and display using OpenCV

control-and-display-time

cpp-personal-training

A C++ repos for personal training

display-window

dragon-ball-z-buu-s-fury

Dragon Ball Z Buu's Fury Game boy game in python

garden-school-creche

hello-world-linux-kernel-module

Sample to add a hello world Linux kernel modue

jetson-gpio-led-blink

Simple code to blink led of NVIDIA Jetson platform using GPIO through sysfs

jetson-kernel-development

Jetson environment for kernel modules development

libargus-oneshot-sample

The purpose of this repository is to show how to use the NVIDIA LibArgus API with the most simple way in the Jetson board by using only one g++ command line to compile the oneShot sample which is included on $HOME/jetson_multimedia_api/argus/samples/oneShot

qt-camera-application-sample

A Qt camera QWidget application using Qt Designer

qt_prototyping_env

Personal repos for Qt training

rtc-ds3231-i2c-driver

RTC DS3231 I2C Driver for different embedded targets like Arduino, RPi and Jetson Nano etc.

tcp-ip-client-server

Basic TCP-IP Client server communication

tensorflow-tensorrt-yolov3

The pupose of this project is to do the inference of models YOLOv3 and YOLOv3-Tiny using the the TF-TRT (TensorFlow-TensorRT) Python API with TensorFlow v1.15

tensorrt-yolov3

This project is derived from yolo_onnx NVIDIA Sample and include how to do the inference of object detection models (YOLOv3 and YOLOv3-Tiny) with different parameters like input resolution, batch size and precision mode

tf-trt-yolov3-with-tensorflow-v2

Object detection using TF-TRT with TensorFlow v2 and YOLOv3

usefull-commands