Sungwook Cho (swcho84)

swcho84

Geek Repo

Company:Cheongju University

Location:Cheongju, Chungbuk, South Korea

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Sungwook Cho's repositories

ProgrammingCJUAE101-2022

청주대학교 항공학부 항공기계공학전공 개설과목 "공학컴퓨터프로그래밍"의 코드 모음(2022년도)

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ROS101

ROS101 class - from basic to advanced

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ProgrammingCJUAE101-2021

청주대학교 항공학부 항공기계공학전공 개설과목 "공학컴퓨터프로그래밍"의 코드 모음(2021년도)

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RobotArm101

Modeling and Simulation of 6DOF Robot Arm using ROS-Gazebo environment

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rotors_simulator

RotorS is a UAV gazebo simulator

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camimg-logger

image logger using camera (monocular/stereo camera)

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darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

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dl-imgdb-generator

Image Database Generator for CNN

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DualQuaternion101

Study for Dual Quaternion-based Dynamic System

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Embedded101

청주대학교 융합신기술대학원 기계항공산업학과 2021년도 1학기 임베디드시스템 실습자료

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Env-semantic-seg

Semantic segmentation for sidewalks. It has different models and options to train over.

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handson-ml2

핸즈온 머신러닝 2/E의 주피터 노트북

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image-segmentation

Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available

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interbotix_ros_arms

ROS packages for the InterbotiX X-series family of robotic arms and turrets

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INU-class-test

ROS test class

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jsbsim

An open source flight dynamics & control software library

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mbzirc

Simulator for the MBZIRC Maritime Grand Challenge

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models

Models and examples built with TensorFlow

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MPCC

Model Predictive Contouring Controller (MPCC) for Autonomous Racing

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ProgrammingCJUAE101-2023

2023학년도 2학기 청주대학교 항공기계공학과 공학컴퓨터프로그래밍 실습코드 개발용

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python_deeplearning_pytorch

'파이썬 딥러닝 파이토치' 책의 연습노트

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Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

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PyTorch_YOLOv4

PyTorch implementation of YOLOv4

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ROS2-101

ROS2-101 class - from basic to advanced

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SORT-ros

SORT(Simple Online and Realtime Tracking) node for ROS C++

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tensorrtx

Implementation of popular deep learning networks with TensorRT network definition API

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yolo-tensorrt

TensorRT8.Support Yolov5s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.

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yolov3

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

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yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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