Train Convolutional Neural Network to predict land cover type from multispectral Sentinel-2 satellite imagery
Train standard Convolutional Neural Network to predict land cover type from multispectral Sentinel-2 satellite imagery https://nbviewer.jupyter.org/github/chris010970/eurosat/blob/master/notebooks/predict.ipynb
usage: train.py [-h] [--architecture ARCHITECTURE] [--epochs EPOCHS]
[--train_steps TRAIN_STEPS]
[--validation_steps VALIDATION_STEPS]
[--batch_size BATCH_SIZE] [--rotation ROTATION]
[--shear SHEAR] [--scale SCALE] [--transform TRANSFORM]
[--horizontal_flip HORIZONTAL_FLIP]
[--vertical_flip VERTICAL_FLIP] [--crop CROP]
[--crop_size CROP_SIZE] [--speckle SPECKLE]
[--filling_mode FILLING_MODE]
[--checkpoint_path CHECKPOINT_PATH] [--load_path LOAD_PATH]
[--save_path SAVE_PATH]
data_path
train.py: error: the following arguments are required: data_path
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