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Model updates/CoordConv/Anti-aliased training #38
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Relates to #32 somewhat, training DeepLabV3 on segmenting out the current images' clouds. Idea being to then adapt it to predict future timestep clouds as well. Need to figure out a way to make the segmentation models predict multi-frame output. Having it work as a single timestep per output class didn't work. |
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https://github.com/tcapelle/moving_mnist/blob/master/nbs/01_models.conv_rnn.ipynb seems to have a way around it, with the StackLoss and things like that. Could try converting it to not rely on fastai. Fastai does seem to have quite a bit of nice stuff built in though. |
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…xample. Only training to predict mask from satellite channels for current image, so pretraining, but not predicting the future. Still seems to be some error in training on multiple timesteps, might have to add extra input to condition on time, as segmenting stack of images is a little finicky.
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