What In The Zap Is That? AI categorization of spectra from LIBS/XRF analyzers. https://spacecruft.org/spacecruft/witzit/

Go to file

jebba 3a33722db4 add pandas dep		2022-01-24 14:46:54 -07:00
img	Deep Learning Sequence() diagram	2022-01-22 23:37:49 -07:00
.gitignore	ignore samples dir	2022-01-24 12:43:00 -07:00
LICENSE	witzit - What In The Zap Is That?	2022-01-22 23:18:26 -07:00
README.md	wz-load, tensorflow cpu	2022-01-24 14:34:23 -07:00
requirements-dev.txt	black for py PEP8 formatting	2022-01-24 14:42:39 -07:00
requirements.txt	add pandas dep	2022-01-24 14:46:54 -07:00
wz-load	minor formatting	2022-01-24 14:43:18 -07:00

README.md

witzit - What In The Zap Is That?

witzit --- What In The Zap Is That? AI categorization of spectra from SciAps analyzers.

Install

Install Dependencies

Get system dependency and upgrade Python pip. Perhaps do something like this, or set up a Python virtual environment.

sudo apt update
sudo apt install git python3-pip
pip install --user --upgrade pip

Clone Git Repo

Get source code with git.

The default requirements.txt installs a tensorflow without GPU support. You can edit the requirements.txt file to change which is supported. The "generic" version supports both.

git clone https://spacecruft.org/spacecruft/witzit
cd witzit/
pip install --user --upgrade -r requirements.txt

Usage

HOWTO USE.

Status

Alpha software under development.

Hardware

SciAps LIBS Analyzer
SciAps XRF Analyzer

Deep Learning Algorithm

Can use lots from wut.

https://spacecruft.org/spacecruft/satnogs-wut/src/branch/master/wut-worker-mas.py#L67-L79

def uncompiled_model():
  model = Sequential([
    Conv2D(16, 3, padding='same', activation='relu', input_shape=(IMG_HEIGHT, IMG_WIDTH ,3)),
    MaxPooling2D(),
    Conv2D(32, 3, padding='same', activation='relu'),
    MaxPooling2D(),
    Conv2D(64, 3, padding='same', activation='relu'),
    MaxPooling2D(),
    Flatten(),
    Dense(512, activation='relu'),
    Dense(1, activation='sigmoid')
  ])
  return model

Amazingly (to me), the paper Classification of radioxenon spectra with deep learning algorithm (2021) by Azimi, et al. uses nearly the identical CNN Sequence() as wut uses, indicating it may be a very good base to start from.

Paper is non-gratis science:

https://www.sciencedirect.com/science/article/abs/pii/S0265931X21001909

The Sequence() diagram is pulled from the Azimi paper, but is the same as in wut, so makes a good reference.

Articles:

https://www.sciencedirect.com/science/article/abs/pii/S0265931X21001909 Classification of radioxenon spectra with deep learning algorithm
https://www.sciencedirect.com/science/article/pii/S0030401822000402 Deep convolutional neural networks as a unified solution for Raman spectroscopy-based classification in biomedical applications
https://www.sciencedirect.com/science/article/abs/pii/S058485472030313X Automatic preprocessing of laser-induced breakdown spectra using partial least squares regression and feed-forward artificial neural network: Applications to Earth and Mars data
https://www.sciencedirect.com/science/article/abs/pii/S0584854719306068 Determination of minor metal elements in steel using laser-induced breakdown spectroscopy combined with machine learning algorithms
https://www.sciencedirect.com/science/article/abs/pii/S1386142521009380 Feature selection of infrared spectra analysis with convolutional neural network

Misc

Will likely work best with binary categorizations. E.g. like this: Is it element A or not element A? Is it element B or not element B? Is it element C or not element C? Not "is it element A, B, or C?"

Unofficial

Unofficial, unaffiliated with SciAps.

License

License: GPLv3 or any later version.