Crear's repositories
MLPavementDistressDataAnalysis
It's a class project using Machine Learning for analysis of pavement distress data downloaded from LTPP InfoPave. In this project, construction, annual humidity, temperature and traffic data form LTPP InfoPave was adopted to predict concrete pavement cracking percentage. Linear regression model, decision tree model and random forests model were used to predict and compared with each other. Random forest has advantage in accuracy and decision tree has advantage in speed. Both models did not show their best performance due to lack of effective data.
Merge_DJI_Video_SRT
DJI may separate a long flight video into smaller video clips. This code merge the video and re-calculate the frame/timestamp to merge the .srt. Further 3D modeling can be performed, e.g., www.SkyeBrowse.com
Metromile-CSV-Data-to-GeoJSON
.csv data from Metromile to GeoJSON for OpenStreetMap
GreenRoofDataCollect-Process
It's a class project related to Green Roof Project in Rutgers. The project includes collecting data using Arduino&sensors(C), visualization and modeling(python).
OpenCV2-Python-Tutorials
This repo contains tutorials on OpenCV-Python library using new cv2 interface
OusterLiDAR_Python
Detailed Ouster LiDAR operator based on python-ouster and scary (Real-time reading and pcap file reading)