strawml (Computer Vision and Machine Learning Integration for real-time Straw Level Monitoring)

This repository contains code developed for the Master's project Computer Vision and Machine Learning Integration for real-time Straw Level Monitoring for the Fall 2024 semester. The project is done by David Ari Ostenfeldt (s194237) and Dennis Chenxi Zhuang (s194247) at The Technical University of Denmark in collaboration with Meliora Bio. The thesis work was done in relation to a fellowship provided by Helix Lab.

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Name		Name	Last commit message	Last commit date
Latest commit History 652 Commits
.github/workflows		.github/workflows
data		data
dockerfiles		dockerfiles
docs		docs
fiducial_marker		fiducial_marker
models		models
notebooks		notebooks
reports		reports
strawml		strawml
.gitignore		.gitignore
.pre-commit-config.yaml		.pre-commit-config.yaml
LICENSE		LICENSE
Makefile		Makefile
README.md		README.md
TODO.md		TODO.md
cross_validate.sh		cross_validate.sh
docker-compose.yaml		docker-compose.yaml
index.html		index.html
pyproject.toml		pyproject.toml
requirements.txt		requirements.txt
requirements_dev.txt		requirements_dev.txt
requirements_gbar.txt		requirements_gbar.txt
start_stream_with_convnext.bat		start_stream_with_convnext.bat
start_stream_with_yolo.bat		start_stream_with_yolo.bat
straw_model_sweep_config.yaml		straw_model_sweep_config.yaml
submit.sh		submit.sh
submit_sweep.sh		submit_sweep.sh
sweep_straw_model.sh		sweep_straw_model.sh
sweep_yolo_model.sh		sweep_yolo_model.sh
train_cls.sh		train_cls.sh