Illuminated3D This project participates in the Nasa Space Apps Challenge 2021.

Overview

NASA-Space-Apps-Challenge-2021

Illuminated3D This project participates in the Nasa Space Apps Challenge 2021.

Documentation of the Illuminat3d App

Version 1.0

The main scope of this application is to plot the light curve of an asteroid for certain values of the input variables. The project consists of two .py files (.py and .py).

GUIFinal.py file

This is the file that we create the User Interface (UI) of our application. It have a space that the user load his 3D model (.stl file format). Then the user must fill in every enrty of the variables in the right form and finally push the Run Program button to see the light curve plot in the corresponding window. The User Interface except all the widgets (Button, Label, Entry, Images) has and 3 functions:

  • browseFiles(): in this function we set the directory that the application can search to find the user's 3D model. When a file is selected then the label of the file explorer change text to specify the path of the file.
  • popup_window_1(): function that triggered when the info button is pressed and pops out an information message.
  • checkInputs(): in this function we check the validity of the input variables and then create an Illuminated object to start running the main program.

Illuminated_Class_Git.py file

In this file we create a class Illuminated to control the core of our program and to plot the light curves of the input 3D models. This class has several functions to produce the expected output.

  • __ init__(self, filename, initRot, rotAxis, frames, albedo, omega): is the contructor of the class which assigns the proper values to the class variables. It recieves as inputs the filename of the 3D model(filename), the initial rotation axis and angle (initRot), the rotational axis (rotAxis), the number of frames (frames), the albedo (albedo) and the omega angle(omega).
  • checkTheModel(self): this function check if the 3D model that the user inserted is valid(close object). Return boolean value True or False.
  • computeIntersectionsAreas(self, multi): recieves a Multipolygon object and returns its total area.
  • multColumns(self, col1, col2): recieves two arrays and produce a new one of the same length. Each element of this array is the multiplication of the two initial arrays' corresponding elements (i.e. new_col[5] = col1[5]*col2[5])
  • sortCoords(self, arr, ind): this is an extra function which sorts the rows of the 2D arr array under the 1D index array.
  • sortDist(self, arr, ind): this is an extra function which sorts the values of the 1D arr array under the 1D index array.
  • desortDist(self, arr, ind): with this function we de-sort the distances array back to its initial structure.
  • computeCoefs(self, coords, dist, dots): compute the coefficients array depending on the coordinates, distances and dots arrays. By taking one triangle at a time we compute the area of each triangle that is seen by the viewer.
  • n_vec(self, tha, thb, thc): return a normalized vector as the cosines of the given angles tha, thb, thc. Each input is the angle that this vector forms with the corresponding axix (x, y, z).
  • v_surf(self, cube ,n_v): return the viewing surface when looking in the n_v direction (either as the source or as the viewer).
  • execution(self): in this function we calibrate the model with its rotation and the position of the light and the viewer and we plot the asteroid's light curve. The number of the plot's points is implied by the number of frames.

Installation

Use the package manager pip to install the necessary libraries.

pip install python-math
pip install numpy-stl
pip install matplotlib
pip install tk
pip install shapely

Execution

After you download the project in your computer, you must move to the directory that the python files are and run the command below.

python GUIFinal.py

Members

  1. Doli Maria
  2. Eleftheriadis Emmanouil
  3. Komitis Dimitrios
  4. Liodis Ioannis
  5. Noula Konstantina
  6. Rodiou Eirini
Owner
Eleftheriadis Emmanouil
Eleftheriadis Emmanouil
The official code of Anisotropic Stroke Control for Multiple Artists Style Transfer

ASMA-GAN Anisotropic Stroke Control for Multiple Artists Style Transfer Proceedings of the 28th ACM International Conference on Multimedia The officia

Six_God 146 Nov 21, 2022
ROSITA: Enhancing Vision-and-Language Semantic Alignments via Cross- and Intra-modal Knowledge Integration

ROSITA News & Updates (24/08/2021) Release the demo to perform fine-grained semantic alignments using the pretrained ROSITA model. (15/08/2021) Releas

Vision and Language Group@ MIL 48 Dec 23, 2022
Efficient Multi Collection Style Transfer Using GAN

Proposed a new model that can make style transfer from single style image, and allow to transfer into multiple different styles in a single model.

Zhaozheng Shen 2 Jan 15, 2022
code for "Self-supervised edge features for improved Graph Neural Network training",

Self-supervised edge features for improved Graph Neural Network training Data availability: Here is a link to the raw data for the organoids dataset.

Neal Ravindra 23 Dec 02, 2022
Codes for our IJCAI21 paper: Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization

DDAMS This is the pytorch code for our IJCAI 2021 paper Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization [Arxiv Pr

xcfeng 55 Dec 27, 2022
The Self-Supervised Learner can be used to train a classifier with fewer labeled examples needed using self-supervised learning.

Published by SpaceML • About SpaceML • Quick Colab Example Self-Supervised Learner The Self-Supervised Learner can be used to train a classifier with

SpaceML 92 Nov 30, 2022
OOD Generalization and Detection (ACL 2020)

Pretrained Transformers Improve Out-of-Distribution Robustness How does pretraining affect out-of-distribution robustness? We create an OOD benchmark

littleRound 57 Jan 09, 2023
Official code repository for the publication "Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons"

Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons This repository contains the code to repr

Computational Neuroscience, University of Bern 3 Aug 04, 2022
Large-Scale Pre-training for Person Re-identification with Noisy Labels (LUPerson-NL)

LUPerson-NL Large-Scale Pre-training for Person Re-identification with Noisy Labels (LUPerson-NL) The repository is for our CVPR2022 paper Large-Scale

43 Dec 26, 2022
Human4D Dataset tools for processing and visualization

HUMAN4D: A Human-Centric Multimodal Dataset for Motions & Immersive Media HUMAN4D constitutes a large and multimodal 4D dataset that contains a variet

tofis 15 Nov 09, 2022
Neural-fractal - Create Fractals Using Complex-Valued Neural Networks!

Neural Fractal Create Fractals Using Complex-Valued Neural Networks! Home Page Features Define Dynamical Systems Using Complex-Valued Neural Networks

Amirabbas Asadi 10 Dec 17, 2022
MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation

MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation This repo is the official implementation of "MHFormer: Multi-Hypothesis Transforme

Vegetabird 281 Jan 07, 2023
This is the official Pytorch implementation of the paper "Diverse Motion Stylization for Multiple Style Domains via Spatial-Temporal Graph-Based Generative Model"

Diverse Motion Stylization (Official) This is the official Pytorch implementation of this paper. Diverse Motion Stylization for Multiple Style Domains

Soomin Park 28 Dec 16, 2022
Scales, Chords, and Cadences: Practical Music Theory for MIR Researchers

ISMIR-musicTheoryTutorial This repository has slides and Jupyter notebooks for the ISMIR 2021 tutorial Scales, Chords, and Cadences: Practical Music T

Johanna Devaney 58 Oct 11, 2022
Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation

GPT2-Pytorch with Text-Generator Better Language Models and Their Implications Our model, called GPT-2 (a successor to GPT), was trained simply to pre

Tae-Hwan Jung 775 Jan 08, 2023
TensorFlow CNN for fast style transfer

Fast Style Transfer in TensorFlow Add styles from famous paintings to any photo in a fraction of a second! It takes 100ms on a 2015 Titan X to style t

1 Dec 14, 2021
The offcial repository for 'CharacterBERT and Self-Teaching for Improving the Robustness of Dense Retrievers on Queries with Typos', SIGIR2022

CharacterBERT-DR The offcial repository for CharacterBERT and Self-Teaching for Improving the Robustness of Dense Retrievers on Queries with Typos, Sh

ielab 11 Nov 15, 2022
Image Captioning using CNN and Transformers

Image-Captioning Keras/Tensorflow Image Captioning application using CNN and Transformer as encoder/decoder. In particulary, the architecture consists

24 Dec 28, 2022
Spectrum Surveying: Active Radio Map Estimation with Autonomous UAVs

Spectrum Surveying: The Python code in this repository implements the simulations and plots the figures described in the paper “Spectrum Surveying: Ac

Universitetet i Agder 2 Dec 06, 2022
Pca-on-genotypes - Mini bioinformatics project - PCA on genotypes

Mini bioinformatics project: PCA on genotypes This repo contains the code from t

Maria Nattestad 8 Dec 04, 2022