The ICEBERG Seals usecase package
Project description
Quality Metrics
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
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
iceberg_seals.search-1.3.tar.gz
(24.5 kB
view hashes)