Python library for solving computer vision tasks specifically for satellite imagery
Project description
earth-vision
Earth Vision is a python library for solving computer vision tasks specifically for satellite imagery.
Objective
To ease researcher to run ML pipelines for AI or Deep Learning Applications in solving Earth Observation (EO) tasks.
Examples
Dataset Download
from torch.utils.data import DataLoader
from earthvision.datasets import DeepSat
train_dataset = DeepSat(root='./', dataset_type='SAT-4', download=True, data_mode=0)
test_dataset = DeepSat(root='./', dataset_type='SAT-4', download=False, data_mode=1)
train_dataloader = DataLoader(train_dataset, batch_size=64, shuffle=True)
test_dataloader = DataLoader(test_dataset, batch_size=64, shuffle=True)
train_data, train_label = next(iter(train_dataloader))
test_data, test_label = next(iter(test_dataloader))
Features
- Wrapper to download open sourced EO dataset for ML tasks:
- AerialCactus
- COWC
- DeepSat
- DroneDeploy
- EuroSat
- L8SPARCS
- LandCover
- RESISC45
- UCMercedLand
Project details
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Source Distribution
earth-vision-0.0.3.tar.gz
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