je5349

2018AICity_TeamUW

The winning method in Track 1 and Track 3 at the 2nd AI City Challenge Workshop in CVPR 2018 - Official Implementation

AVFI

Fault Injection for Autonomous Vehicles

buildJetsonTX2Kernel

Build the NVIDIA Jetson TX2 Kernel on the device itself

cascaded_ground_seg

The implementation of "A Slope-robust Cascaded Ground Segmentation in 3D Point Cloud for Autonomous Vehicles"

convert2Yolo

This project purpose is convert voc annotation xml file to yolo-darknet training file format

convert2YoloDist

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

jetson-inference

Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

je5349/convert2Yolo

This project purpose is convert voc annotation xml file to yolo-darknet training file format

je5349/convert2YoloDist

je5349/Deep_reinforcement_learning_Course

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

je5349/Distance_measurement_using_single_camera

using single camera to measure the distance opencv python,

je5349/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

je5349/keras-io

Keras documentation, hosted live at keras.io

je5349/kitti2bag

Convert KITTI dataset to ROS bag file the easy way!

je5349/KITTI_Tutorial

Tutorial for using Kitti dataset easily

je5349/labelImg

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

je5349/LiDAR-Point-Cloud-Preprocessing-matlab

Pre-processing Technique of LIDAR PCD Data Using KITTI-Dataset

je5349/lidar_obstacle_detector

3D LiDAR Object Detection & Tracking using Euclidean Clustering, RANSAC, & Hungarian Algorithm

je5349/MonoCon

Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection (AAAI'22)

je5349/mrc_eo

je5349/Object-Detection-Zoo

je5349/Object_Detect_KITTI_LiDAR

je5349/PCDet

PCDet Toolbox in PyTorch for 3D Object Detection from Point Cloud

je5349/Python_Image_Failures

je5349/RBFNN

je5349/reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

je5349/reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

je5349/reinforcement-learning-kr

[파이썬과 케라스로 배우는 강화학습] 예제

je5349/rl-study

je5349/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

je5349/RosImageFolderPublisher

ROS node to publish the images contained in an specified folder.

je5349/rslidar_sdk

RoboSense LiDAR SDK for ROS & ROS2

je5349/StatisticalDataAnalysis

je5349/vehicle_distance

Estimating distance to the nearest vehicle from the car dashboard camera

je5349/visualDet3D

Official Repo for Ground-aware Monocular 3D Object Detection for Autonomous Driving / YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection

je5349/yolov3-yolov4-matlab

Import and export Darknet™ models within MATLAB deep learning networks.

je5349/yolov4-for-darknet_ros

This is the environment in which YOLO V4 is ported to darknet_ros.