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clipfinetuner's Introduction

Build

Venv

To build venv:

python -m venv venv
venv\Scripts\activate.bat
# or
venv\Scripts\activate.ps1
pip install -r requirements.txt

To freeze dependencies:

pip freeze > requirements.txt

Docker

docker build . -t finetuner:<TAG>
docker run -it --gpus all --name finetuner -p 8888:8888 -p 6006:6006 --mount type=bind,source="$(pwd)",target=/app finetuner:<TAG>

jupyter notebook --ip=0.0.0.0 --no-browser --allow-root --debug

Dataset Preparation

Note: Don't forget change input path before running each python script.

Go to data folder: cd data

Make sure you have tif image under <your_project_path>/data/.

To convert tif to hdf5:

python 01_tif_to_hdf5.py

To calculate keypoints with fixed step across the whole image:

python 02_keypoints,py

To generate png from image.h5 and keypoints.h5:

python 03_generate_png.py

To find keypoints for collapsed buildings:

python 04_find_collapsed.py

To annotate collapsed building point on sample images:

python 05_annotating_image.py

Finetune Clip

see clip_finetuner.ipynb

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