Detail

Decoder part of RI autoencoder trained on 1M MODIS patches from 2000-2020

tkurihana_uchicago/clouds_RI_encoder
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Takuya Kurihana
TensorFlow Model
climate science MODIS satelite imagery

Input

decoder_input:0
Type: ndarray
Shape: ['None', '2', '2', '512']

Output

Identity:0
Type: ndarray
Shape: ['None', '128', '128', '6']

Run with DLHub SDK

from dlhub_sdk.client import DLHubClient
X = get_my_data() #replace this
dl = DLHubClient()
dl.run('tkurihana_uchicago/clouds_RI_encoder', X)

Get More Info with DLHub SDK

from dlhub_sdk.client import DLHubClient
dl = DLHubClient()
dl.describe_servable('tkurihana_uchicago/clouds_RI_encoder')

DLHub SDK Installation

pip install dlhub_sdk

DLHub SDK documentation