iceberg-penguins.search 0.2.4.3

## Quality Metrics

[](https://travis-ci.com/iceberg-project/Penguins)

## Software Dependencies

• boost==1.66.0

• gdal==2.1.4

• geotiff==1.4.2

• matplotlib==2.1.0

• opencv==2.4.13

• openjpeg==2.1.2

• pillow==4.2.1

• python==2.7.15

• pytorch==0.3.1

• rasterio==0.36.0

• scikit-learn==0.19.1

• scipy==1.2.1

• scipy==0.19.0

• torchvision==0.2.0

• visdom==0.1.8.9

## Installation

### PSC Bridges >From source: `bash $ git clone https://github.com/iceberg-project/Penguins.git $ module load cuda $ module load python3 $ virtualenv iceberg_penguins $ source iceberg_penguins/bin/activate [iceberg_penguins] $ export PYTHONPATH=<path>/iceberg_penguins/lib/python3.5/site-packages [iceberg_penguins] $ pip install . --upgrade `

>From PyPi: `bash $ module load cuda $ module load python3 $ virtualenv iceberg_penguins $ source iceberg_penguins/bin/activate [iceberg_penguins] $ export PYTHONPATH=<path>/iceberg_penguins/lib/python3.5/site-packages [iceberg_penguins] $ pip install iceberg_penguins.search `

To test `bash [iceberg_penguins] $ iceberg_penguins.detect `

### Prediction - Download a pre-trained model at:

https://drive.google.com/file/d/149j5rlynkO1jQTLOMpL5lextHY0ozw6N/view?usp=sharing

Please put the model file to: <checkpoints_dir>/<model_name>/

The one provided here is at the epoch 300 of the model named “v3weakly_unetr_bs96_main_model_ignore_bad”

• The script to run the testing for a single PNG image:

iceberg_penguins.detect [–params …]

## params: - –name: name of the model used for testing - –gpu_ids: the gpu used for testing - –checkpoints_dir: path to the folder containing the trained models - –epoch: which epoch we use to test the model - –input_im: path to the input image - –output: directory to save the outputs