ClaraVisio (or Clara for short; Latin for "clear sight") builds on top of two previous attempts: StereoFog by Anton Pollock and FogEye by David Moody, Laura Parke, Chandler Welch, with the aim of collecting data and developing a framework for Image-to-Image translation (I2I) of foggy pictures. This project was conducted under the supervision of Prof. Rajesh Menon at the Laboratory for Optical Nanotechnologies at the University of Utah during the summer of 2024 made possible by the University of Utah Summer Program for Undergraduate Research (SPUR). This work differs from previous research in using a novel free-floating fog dataset and a transformer-based model.
- Description
- Image Capturing
- Model Training
- Datasets
- How to Use
- Getting Started
- Results
- Limitations
- License
- Citation
- References
- Appendix
- Author Info
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Files are in raspberr_pi folder with the SOP
uses rclone to sync with google, configuration
to ssh into your raspberry pi 5:
to have the script running at boot up use
sudo crontab -eadded this code to bottom:
@reboot /path/to/python/script &
saved with CTRL+O and exit with CTRL+X
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install conda from website
module use $HOME/MyModules
module load miniconda3/latestto run jupyter notebooks you need to:
pip install notebookPlaceholder text for the datasets.
StereoFog images: GDrive FogEye images: MSOneDrive - Only Available for U of U students/staff, contact us for premission; needs cleaning (only download directories that contain raw files) ClaraVisio images:
place inside a datasets/SteroFog directory and unzip
apt-get install unzip
unzip file.zippython preprocess_stereofog_dataset.py --dataroot datasets/StereoFog/stereofog_imagesneed to run again to create a new split.
git clone https://github.com/amirzarandi/claravisio
cd claravisio
python -m venv .venvkill terminal then activate environment
pip install -r requirements.txtpython train.py --dataroot datasets/StereoFog/stereofog_images_processed --name AL1 --model pix2pix --direction BtoA --gpu_ids 0 --n_epochs 25
python train.py --dataroot .\datasets\stereofog_images --name stereo_pix2pix --model pix2pix --direction BtoA --gpu_ids -1 --n_epochs 1 # gpu_ids -1 is for devices that are not cuda enabled.
python test.py --dataroot .\datasets\stereofog_images --direction BtoA --model pix2pix --name stereo_pix2pix --gpu_ids -1Placeholder text for the API reference.
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