Kriti Shrestha's repositories
Evaluation-of-Frame-Field-Learning-using-Orthophotos
This repository attempts to produce the results
Binary-segmentation-model
A repository which performs binary segmentation on large scale real world dataset consisting of 10,000 x 10,000 size images of cities from Lower Saxony, Germany. It segments the buildings from the images using pre-trained UNetResNet architecture.
Data-conversion-for-PPGNet
Conversion of digitized shapefiles into pixel coordinates that are suitable to be used in the PPGNet linegraph.py submodule for conversion to .lg objects.
Dataset-Preparation-for-Frame-Field-Learning-using-Orthophotos
An evaluation of the frame field learning technique for extraction of building polygons in vector format from true orthophotos.
ETL-Project
In this project, data about US-based companies with vacancies for Business Analyst positions have been evaluated. The data has been extracted from Kaggle website, transformed as necessary and loaded into a csv file. The visualization of the result has been made in Tableau.
Polygonization-by-Frame-Field-Learning
This repository contains the code for our fast polygonal building extraction from overhead images pipeline.
PPGNet
Source code for our CVPR 2019 paper - PPGNet: Learning Point-Pair Graph for Line Segment Detection
Projects-using-SQL
Portfolio Projects using SQL
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks