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A Python framework for classification of satellite imagery of the Amazon, built with Pytorch and Lasagne/Theano. The goal is to find deforestation activity.

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Name		Name	Last commit message	Last commit date
Latest commit History 138 Commits
configs		configs
configs_pytorch		configs_pytorch
sandbox		sandbox
scripts		scripts
.gitignore		.gitignore
README.md		README.md
SETTINGS.json		SETTINGS.json
app.py		app.py
buffering.py		buffering.py
configuration.py		configuration.py
copy-image-by-tag.py		copy-image-by-tag.py
data_iterators.py		data_iterators.py
data_transforms.py		data_transforms.py
ensemble.py		ensemble.py
evaluate_submission.py		evaluate_submission.py
keras_custom_layers.py		keras_custom_layers.py
keras_train.py		keras_train.py
logger.py		logger.py
nn_planet.py		nn_planet.py
pathfinder.py		pathfinder.py
plot_learning_curves.py		plot_learning_curves.py
resnext_101_64x4d.py		resnext_101_64x4d.py
submission.py		submission.py
test.py		test.py
test_f2_score.py		test_f2_score.py
test_pytorch.py		test_pytorch.py
test_xgb.py		test_xgb.py
train.py		train.py
train_2obj.py		train_2obj.py
train_discriminator.py		train_discriminator.py
train_features.py		train_features.py
train_pytorch.py		train_pytorch.py
train_pytorch_ae.py		train_pytorch_ae.py
train_xgb.py		train_xgb.py
tta.py		tta.py
utils.py		utils.py
utils_plots.py		utils_plots.py

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Understanding the Amazon from space

Training models

python train.py <config name>

Testing trained models

python test.py <valid/test> <config name>

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A Python framework for classification of satellite imagery of the Amazon, built with Pytorch and Lasagne/Theano. The goal is to find deforestation activity.

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