Skip to content

Use a SVM to classify rocks by laser ablation spectrum.

License

Notifications You must be signed in to change notification settings

MiroslavVitkov/rocks

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Machine learning project to identify rock samples by laser ablation spectrum. The SVM performs best at 97% accuracy.

Dependencies.

Compulsory:
libdlib-dev - but compile it from source with cuda support:

  1. nvidia-cuda-dev, nvidia-smi
  2. (need to register) https://developer.nvidia.com/rdp/cudnn-download
  3. https://github.com/davisking/dlib
  4. CC=gcc CXX=g++ cmake .. -DUSE_AVX_INSTRUCTIONS=1

Optional:

libsqlite3-dev
libqwt-qt5-dev
https://github.com/ashokpant/accuracy-evaluation-cpp
https://www.shark-ml.org/
texlive-bibtexextra  # for the docs

Introduction to the domain

About

Use a SVM to classify rocks by laser ablation spectrum.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published