A tool for automatically generating 3D printable STLs from freely available lidar scan data.

Overview

mini-map-maker

A tool for automatically generating 3D printable STLs from freely available lidar scan data.

Screenshots

image image

Tutorial

To use this script, go to the USGS LidarExplorer

https://prd-tnm.s3.amazonaws.com/LidarExplorer/index.html#/

Select an area, and then click the "Download list" button under "Lidar within AOI" image This should give you a file called downloadlist.txt. Simply place this text file in the same directory as the script, and then run the script (convert.py, or convert.exe if you don't want to deal with Python). By default, mini-map-maker will generate an STL file for each tile in the lidar data. However, there are quite a few command line arguments that you can use to customize the output.

>convert.py -h

usage: convert [-h] [--input INPUT] [--reduce REDUCE] [--vscale VSCALE]
               [--base BASE] [--merge] [--no_stl] [--cleanup] [--filter FILTER] [--prj]

A utility for automatically generating 3D printable STLs from USGS lidar scans.

optional arguments:
  -h, --help            show this help message and exit
  
  --input INPUT, -i INPUT
                        The name of the file containing the URLs of all of the lidar scan data.
                        
  --reduce REDUCE, -r REDUCE
                        A decimal value that will decrease the output file size as it increases.
                        The default value is 1.0
                        
  --vscale VSCALE, -v VSCALE
                        A decimal value that will make artificially make things taller as it increases.
                        The default value is 1.0
                        
  --base BASE, -b BASE  A decimal value that sets the base height of the model. The default value is 0.0
  
  --merge, -m           Using this flag will merge all of the point clouds into one file before converting into a DEM.
  
  --no_stl, -s          Using this flag will disable STL generation.
  
  --cleanup, -c         Using this flag will cause the program to automatically delete the unzipped point cloud files
                        after running.
                        
  --filter FILTER, -f FILTER
                        A percent value (0-100, for the slope of the points being smoothed) that will enable the spike
                        smoothing option. This is good if you have points that are floating way up above the model and
                        causing spikes in your final model.
                        
  --prj, -p             Using this flag will cause the program to automatically download and use lastools to generate
                        projection files for the elevation models. This is important if you want to generate the STLs
                        yourself in QGIS, but it means you'll have to be mindful of lastool's license limitations.
                        More info on lastool's website (https://rapidlasso.com/lastools/).
                        
  --external_files, -e  Using this flag will grab las/laz files from the LAS directory instead of downloading them from
                        an input list.

Additional Examples:

External Files

Let's say you already have some las files you want to use. Simply place them into a directory called LAS, and then call the script from from the directory containing the LAS folder, using the --external_files flag, like so:

convert.py --external_files

This trick also works with LAZ files, or even a mix of LAZ and LAS files.

Adding a Base and Manipulating the Output

For one project, I had a LAZ file that had a section of ocean. This caused the output to be super flat, and too thin in several places to print well. Additionally, it was a pretty high resolution file, so the output STL was very large, and I wasn't happy with the vertical scale of the file either. So, after placing my LAZ file into a directory labeled LAS like mentioned above, I used the following command:

convert.py --external_files --filter 50 --base 10 --vscale 0.5 --reduce 2

Filtering got rid of some weird spikes in the output STL, and the base command increased the total height of the output. The vscale command made the model shorter, and reduce significantly decreased the size of the STL.

Support This Project

Like this project? Feel free to make a donation.

ko-fi

Licensing

With the default options, this program is completely open source, and the output is usable in a commercial environment. This code itself is MIT License, as is r-barnes' DEMto3D library that this program makes use of.

https://github.com/r-barnes/DEMto3D

If you want to use the output in QGIS or another GIS program, and enable .prj file generation, then the sript will automatically download lastools. The .prj files generated are free to use if it's not for commercial purposes. If you plan on using the .prj files for commercial purposes, you will need to purchase a lastools license in accordance with the information on lastool's website:

https://rapidlasso.com/lastools/

Additionally, this script makes use of some public domain utilities from FUSION by the US Forest Service

http://forsys.sefs.uw.edu/FUSION/fusion_overview.html

With the addition of LAZ processing, this project now utilizes LASzip, an LGPL-2.1 tool. It is included as a precompiled binary (laszip-cli.exe), and no modifications have been made.

https://github.com/LASzip/LASzip

Owner
Mike Abbott
Mike Abbott
Visualization Library

CamViz Overview // Installation // Demos // License Overview CamViz is a visualization library developed by the TRI-ML team with the goal of providing

Toyota Research Institute - Machine Learning 67 Nov 24, 2022
Draw datasets from within Jupyter.

drawdata This small python app allows you to draw a dataset in a jupyter notebook. This should be very useful when teaching machine learning algorithm

vincent d warmerdam 505 Nov 27, 2022
Generate the report for OCULTest.

Sample report generated in this function Usage example from utils.gen_report import generate_report if __name__ == '__main__': # def generate_rep

Philip Guo 1 Mar 10, 2022
The repository is my code for various types of data visualization cases based on the Matplotlib library.

ScienceGallery The repository is my code for various types of data visualization cases based on the Matplotlib library. It summarizes the code and cas

Warrick Xu 2 Apr 20, 2022
Plotting library for IPython/Jupyter notebooks

bqplot 2-D plotting library for Project Jupyter Introduction bqplot is a 2-D visualization system for Jupyter, based on the constructs of the Grammar

3.4k Dec 30, 2022
A D3.js plugin that produces flame graphs from hierarchical data.

d3-flame-graph A D3.js plugin that produces flame graphs from hierarchical data. If you don't know what flame graphs are, check Brendan Gregg's post.

Martin Spier 740 Dec 29, 2022
A central task in drug discovery is searching, screening, and organizing large chemical databases

A central task in drug discovery is searching, screening, and organizing large chemical databases. Here, we implement clustering on molecular similarity. We support multiple methods to provide a inte

NVIDIA Corporation 124 Jan 07, 2023
University of Missouri - Kansas City: CS451R: Capstone

CS451RC University of Missouri - Kansas City: CS451R: Capstone Installation cd git clone https://github.com/ala2q6/CS451RC.git cd CS451RC pip3 instal

Alex Arbuckle 1 Nov 17, 2021
Use Perspective to create the chart for the trader’s dashboard

Task Overview | Installation Instructions | Link to Module 3 Introduction Experience Technology at JP Morgan Chase Try out what real work is like in t

Abdulazeez Jimoh 1 Jan 22, 2022
Make scripted visualizations in blender

Scripted visualizations in blender The goal of this project is to script 3D scientific visualizations using blender. To achieve this, we aim to bring

Praneeth Namburi 10 Jun 01, 2022
A Python function that makes flower plots.

Flower plot A Python 3.9+ function that makes flower plots. Installation This package requires at least Python 3.9. pip install

Thomas Roder 4 Jun 12, 2022
Script to create an animated data visualisation for categorical timeseries data - GIF choropleth map with annotations.

choropleth_ldn Simple script to create a chloropleth map of London with categorical timeseries data. The script in main.py creates a gif of the most f

1 Oct 07, 2021
Generating interfaces(CLI, Qt GUI, Dash web app) from a Python function.

oneFace is a Python library for automatically generating multiple interfaces(CLI, GUI, WebGUI) from a callable Python object. oneFace is an easy way t

NaNg 31 Oct 21, 2022
Backend app for visualizing CANedge log files in Grafana (directly from local disk or S3)

CANedge Grafana Backend - Visualize CAN/LIN Data in Dashboards This project enables easy dashboard visualization of log files from the CANedge CAN/LIN

13 Dec 15, 2022
a plottling library for python, based on D3

Hello August 2013 Hello! Maybe you're looking for a nice Python interface to build interactive, javascript based plots that look as nice as all those

Mike Dewar 1.4k Dec 28, 2022
A simple agent-based model used to teach the basics of OOP in my lectures

Pydemic A simple agent-based model of a pandemic. This is used to teach basic principles of object-oriented programming to master students. It is not

Fabien Maussion 2 Jun 08, 2022
A Graph Learning library for Humans

A Graph Learning library for Humans These novel algorithms include but are not limited to: A graph construction and graph searching class can be found

Richard Tjörnhammar 1 Feb 08, 2022
🎨 Python3 binding for `@AntV/G2Plot` Plotting Library .

PyG2Plot 🎨 Python3 binding for @AntV/G2Plot which an interactive and responsive charting library. Based on the grammar of graphics, you can easily ma

hustcc 990 Jan 05, 2023
Displaying plot of death rates from past years in Poland. Data source from these years is in readme

Average-Death-Rate Displaying plot of death rates from past years in Poland The goal collect the data from a CSV file count the ADR (Average Death Rat

Oliwier Szymański 0 Sep 12, 2021
Statistics and Visualization of acceptance rate, main keyword of CVPR 2021 accepted papers for the main Computer Vision conference (CVPR)

Statistics and Visualization of acceptance rate, main keyword of CVPR 2021 accepted papers for the main Computer Vision conference (CVPR)

Hoseong Lee 78 Aug 23, 2022