Approaches to modeling terrain and maps in python

Related tags

Deep Learningpythontopographymodeling-terrain
Overview

topography 🌎

Python 3.8 Build Status Language grade: Python Total alerts

Contains different approaches to modeling terrain and topographic-style maps in python

image

Features

Inverse Distance Weighting (IDW)

A given point P(x, y) is determined by the values of its neighbors, inversely proportional to the distance of each neighbor.

P is more heavily influenced by nearer points via a weighting function w(x, y).

Steps

The value of P(x, y) is determined only by the closest raw data point.

This approach works best to get a "feel" for larger datasets. With few input points, the resulting map has little detail.

In the case of multiple equidistant points being closest, point values are stored, and averaged.

Bilinear

in progress 👷 🛠️

Bicubic

in progress 👷 🛠️

Install

pip install topography

Requirements

  • numpy
  • matplotlib

see the requirements.txt

Example

from topography.Map import Map
from topography.utils.io import getPointValuesFromCsv

# # make map from noise data
# noiseMaker = Noise((0, 50), (0, 50))
# noiseData = noiseMaker.getRandom(scaleFactor=1)
# M = Map(noiseData)

# make map from recorded data
rawData = getPointValuesFromCsv("tests/data/20x20.csv")
M = Map(rawData)

# # Display the inputted raw data values
M.showRawPointValues()

# interpolate the Map
M.idw(showWhenDone=True)

# Display the interpolated data values
M.showFilledPointValues()

# Save the data to a .csv file
# optionally, write to file as a matrix
# default is x, y, z
M.writeLastToCsv("idw_20x20", writeAsMatrix=True)
Comments
  • NN - Improvements and Possible Design Changes

    NN - Improvements and Possible Design Changes

    NN Improvements and Design Changes

    Consider breaking up the current implementation of NN

    • [x] current NN ➡️ Map.steps()
    • [ ] new NN via voroni tesselation ➡️ Map.voroni() or Map.nn()

    image

    feature 
    opened by XDwightsBeetsX 1
  • Noise Generation

    Noise Generation

    Add Noise Generators

    This will be nice for quickly making cool topography maps

    start with random noise, but ideas for later...

    feature 
    opened by XDwightsBeetsX 1
  • allows for user to input map size

    allows for user to input map size

    Custom Map Dimensions, closes #5

    Can now customize views of the Map by specifying a custom Map(rawData, xRange=(lower, upper), yRange=(lower, upper))

    This does not impact the determination of points by interpolation, but does give a "sliced" view of the Map

    feature 
    opened by XDwightsBeetsX 1
  • Add Surface Plotting

    Add Surface Plotting

    New Surface Plot

    • In addition to the heatmap-style plot, add a surface representation plot of the Map
    • It should be displayed alongside the 2D Heatmap in a horizontal subplot
    • This may require some refactoring of the Map PointValue storage so that it can be used as a series of X, Y, Z lists
    • See this documentation on matplotlib

    Something Like This:

    | image | image | | :-: | :-: |

    feature 
    opened by XDwightsBeetsX 1
  • IDW Improvement - Neighborhooding

    IDW Improvement - Neighborhooding

    Add Neighborhooding to IDW

    • only apply IDW to a minimum number of nearby neighbors
      • the point of interest is more likely to be similar to nearby points
    feature 
    opened by XDwightsBeetsX 0
  • Added NN Interpolation

    Added NN Interpolation

    New NN Interpolation

    This is going to work better with larger data sets to get a "feel" for the Map.

    • Should add some noise generator to see how this looks with larger data sets.
    • Also add some docs, mentioning above
    • can add sophistication by grouping within a nearby region
    feature 
    opened by XDwightsBeetsX 0
  • Allow User to Input Map Size

    Allow User to Input Map Size

    Currently

    The size of the Map is determined by the user input RawData:

    width = self.xMax - self.xMin + 1
height = self.yMax - self.yMin + 1

    Desired

    This should be changed to allow for the Instantiation of a Map's size to be set in the constructor.

    • Something like Map(rawData, xRange=(lower, upper), yRange=(lower, upper)) where lower and upper are inclusive
    • This change will have to be accounted for when finding max values
    • Undecided on if interpolation approaches should still consider these points
    feature 
    opened by XDwightsBeetsX 0
  • Bicubic Interpolation

    Bicubic Interpolation

    Add Bicubic Interpolation Scheme

    • [ ] in interpolaion.py add bicubic(thisPt, rawPts)
    • [ ] in tests/test_interpolate add test_bicubic.py
    • [ ] in tests/visual/1d add test_visual_bicubic.py
    • [ ] in Map.py add Map.bicubic(showWhenDone=True)

    image

    also see wikipedia

    feature tests 
    opened by XDwightsBeetsX 0
  • Bilinear Interpolation

    Bilinear Interpolation

    Add Bilinear Interpolation Scheme

    • [ ] in interpolaion.py add bilinear(thisPt, rawPts)
    • [ ] in tests/test_interpolate add test_bilinear.py
    • [ ] in tests/visual/1d add test_visual_bilinear.py
    • [ ] in Map.py add Map.bilinear(showWhenDone=True)

    image

    also see wikipedia

    feature tests 
    opened by XDwightsBeetsX 3
Releases(1.0.0)

  • 1.0.0(Jun 27, 2021)

    check out the new topography package on pypi 🌎

    This package provides some visualization and interpolation for topography data using the Map data structure

    • read data from file into PointValues using topography.utils.io.getPointValuesFromCsv(filename)
    • make a map with M = Map(rawData) and perform some interpolation like Map.idw(showWhenDone=True)
    • write the results to a data file with M.writeLastToCsv("cool_idw_interpolation", writeAsMatrix=True)

    Current interpolation schemes:

    • inverse distance weighting
    • step function
    Source code(tar.gz)
    Source code(zip)
Owner
John Gutierrez
Texas A&M MEEN '22. CS minor. Texas Water Safari Finisher '19 '21
John Gutierrez
GitHub Repository
This program was designed to detect whether someone is wearing a facemask through a live video stream.

This program was designed to detect whether someone is wearing a facemask through a live video stream. A custom lightweight CNN trained with TensorFlow on a public dataset provided by Kaggle is used

0 Apr 02, 2022
Very simple NCHW and NHWC conversion tool for ONNX. Change to the specified input order for each and every input OP. Also, change the channel order of RGB and BGR. Simple Channel Converter for ONNX.

scc4onnx Very simple NCHW and NHWC conversion tool for ONNX. Change to the specified input order for each and every input OP. Also, change the channel

Katsuya Hyodo 16 Dec 22, 2022
PyTorch implementation for the Neuro-Symbolic Sudoku Solver leveraging the power of Neural Logic Machines (NLM)

Neuro-Symbolic Sudoku Solver PyTorch implementation for the Neuro-Symbolic Sudoku Solver leveraging the power of Neural Logic Machines (NLM). Please n

Ashutosh Hathidara 60 Dec 10, 2022
Simple tutorials on Pytorch DDP training

pytorch-distributed-training Distribute Dataparallel (DDP) Training on Pytorch Features Easy to study DDP training You can directly copy this code for

Ren Tianhe 188 Jan 06, 2023
Machine learning algorithms for many-body quantum systems

NetKet NetKet is an open-source project delivering cutting-edge methods for the study of many-body quantum systems with artificial neural networks and

NetKet 413 Dec 31, 2022
TF2 implementation of knowledge distillation using the "function matching" hypothesis from the paper Knowledge distillation: A good teacher is patient and consistent by Beyer et al.

FunMatch-Distillation TF2 implementation of knowledge distillation using the "function matching" hypothesis from the paper Knowledge distillation: A g

Sayak Paul 67 Dec 20, 2022
QT Py Media Knob using rotary encoder & neopixel ring

QTPy-Knob QT Py USB Media Knob using rotary encoder & neopixel ring The QTPy-Knob features: Media knob for volume up/down/mute with "qtpy-knob.py" Cir

Tod E. Kurt 56 Dec 30, 2022
Old Photo Restoration (Official PyTorch Implementation)

Bringing Old Photo Back to Life (CVPR 2020 oral)

Microsoft 11.3k Dec 30, 2022
A very tiny, very simple, and very secure file encryption tool.

Picocrypt is a very tiny (hence "Pico"), very simple, yet very secure file encryption tool. It uses the modern ChaCha20-Poly1305 cipher suite as well

Evan Su 1k Dec 30, 2022
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Thalles Silva 1.7k Dec 28, 2022
Deep learning models for change detection of remote sensing images

Change Detection Models (Remote Sensing) Python library with Neural Networks for Change Detection based on PyTorch. ⚡ ⚡ ⚡ I am trying to build this pr

Kaiyu Li 176 Dec 24, 2022
Hl classification bc - A Network-Based High-Level Data Classification Algorithm Using Betweenness Centrality

A Network-Based High-Level Data Classification Algorithm Using Betweenness Centr

Esteban Vilca 3 Dec 01, 2022
Code, Data and Demo for Paper: Controllable Generation from Pre-trained Language Models via Inverse Prompting

InversePrompting Paper: Controllable Generation from Pre-trained Language Models via Inverse Prompting Code: The code is provided in the "chinese_ip"

THUDM 101 Dec 16, 2022
Wordplay, an artificial Intelligence based crossword puzzle solver.

Wordplay, AI based crossword puzzle solver A crossword is a word puzzle that usually takes the form of a square or a rectangular grid of white- and bl

Vaibhaw 4 Nov 16, 2022
Film review classification

Film review classification Решение задачи классификации отзывов на фильмы на положительные и отрицательные с помощью рекуррентных нейронных сетей 1. З

Nikita Dukin 3 Jan 21, 2022
Implementation of ICCV2021(Oral) paper - VMNet: Voxel-Mesh Network for Geodesic-aware 3D Semantic Segmentation

VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic Segmentation Created by Zeyu HU Introduction This work is based on our paper VMNet: Voxel-Mes

HU Zeyu 82 Dec 27, 2022
Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation

Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation [Arxiv] [Video] Evaluation code for Unrestricted Facial Geometry Reconstr

Matan Sela 242 Dec 30, 2022
A tool for making map images from OpenTTD save games

OpenTTD Surveyor A tool for making map images from OpenTTD save games. This is not part of the main OpenTTD codebase, nor is it ever intended to be pa

Aidan Randle-Conde 9 Feb 15, 2022
Towards Ultra-Resolution Neural Style Transfer via Thumbnail Instance Normalization

Towards Ultra-Resolution Neural Style Transfer via Thumbnail Instance Normalization Official PyTorch implementation for our URST (Ultra-Resolution Sty

czczup 148 Dec 27, 2022
Аналитика доходности инвестиционного портфеля в Тинькофф брокере

Аналитика доходности инвестиционного портфеля Тиньков Видео на YouTube Для работы скрипта нужно установить три переменных окружения: export TINKOFF_TO

Alexey Goloburdin 64 Dec 17, 2022