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The ICEBERG Seals usecase package

Project description

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Software Dependencies

  • torch 0.4.0
  • torchvision 0.2.1
  • tensorboardX 1.8
  • cv2
  • rasterio
  • affine
  • pandas
  • geopandas
  • numpy
  • PIL

Installation

PSC Bridges

From source:

$ git clone https://github.com/iceberg-project/Seals.git
$ module load cuda
$ module load python3
$ virtualenv iceberg_seals
$ source iceberg_seals/bin/activate
[iceberg_seals] $ export PYTHONPATH= <path>/iceberg_seals/bin/activate
[iceberg_seals] $ pip install . --upgrade

From PyPi:

$ module load cuda
$ module load python3
$ virtualenv iceberg_seals
$ source iceberg_seals/bin/activate
[iceberg_seals] $ export PYTHONPATH= <path>/iceberg_seals/bin/activate
[iceberg_seals] $ pip install iceberg_seals.search

To test

[iceberg_seals] $ iceberg_seals.tiling --scale_bands=299 --input_image=<image_abspath> --output_folder=./test
[iceberg_seals] $ iceberg_seals.predicting --input_image=<image_filename> --model_architecture=UnetCntWRN --hyperparameter_set=A --training_set=test_vanilla --test_folder=./test --model_path=./ --output_folder=./test_image

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