Jeong-Eun's repositories
convert2Yolo
This project purpose is convert voc annotation xml file to yolo-darknet training file format
Deep_reinforcement_learning_Course
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Distance_measurement_using_single_camera
using single camera to measure the distance opencv python,
Fault_diagnosis_ballbearing_wavelet
Bearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machinery can save millions of dollars in emergency maintenance cost. Different techniques are used for fault analysis such as short time Fourier transforms (STFT), Wavelet analysis (WA), cepstrum analysis, Model based analysis, etc. we have doing detecting bearing faults using FFT and by using Wavelet analysis more specifically wavelet Analysis up to two levels of approximations and detail components. The analysis is carried out offline in MATLAB. Diagnosing the faults before in hand can save the millions of dollars of industry and can save the time as well. It has been found that Condition monitoring of rolling element bearings has enabled cost saving of over 50% as compared with the old traditional methods. The most common method of monitoring the condition of rolling element bearing is by using vibration signal analysis. Measure the vibrations of machine recorded by velocity
keras-io
Keras documentation, hosted live at keras.io
kitti2bag
Convert KITTI dataset to ROS bag file the easy way!
KITTI_Tutorial
Tutorial for using Kitti dataset easily
labelImg
🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images
LiDAR-Point-Cloud-Preprocessing-matlab
Pre-processing Technique of LIDAR PCD Data Using KITTI-Dataset
lidar_obstacle_detector
3D LiDAR Object Detection & Tracking using Euclidean Clustering, RANSAC, & Hungarian Algorithm
MonoCon
Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection (AAAI'22)
PCDet
PCDet Toolbox in PyTorch for 3D Object Detection from Point Cloud
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
reinforcement-learning-kr
[파이썬과 케라스로 배우는 강화학습] 예제
ros_people_object_detection_tensorflow
An extensive ROS toolbox for object detection & tracking and face/action recognition with 2D and 3D support which makes your Robot understand the environment
RosImageFolderPublisher
ROS node to publish the images contained in an specified folder.
rslidar_sdk
RoboSense LiDAR SDK for ROS & ROS2
vehicle_distance
Estimating distance to the nearest vehicle from the car dashboard camera
visualDet3D
Official Repo for Ground-aware Monocular 3D Object Detection for Autonomous Driving / YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection
yolov3-yolov4-matlab
Import and export Darknet™ models within MATLAB deep learning networks.
yolov4-for-darknet_ros
This is the environment in which YOLO V4 is ported to darknet_ros.