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Starting new issue, as I'm trying to train now! But I need some guidance.
Having troubles with the pretrain step. I left the default options from your example ML_CONFIG.yaml file. And got an error about the channel stats file: No such file or directory: '/home/jupyter/deepsentinel/data/channel_stats/MIsland_v1_junk.json'
Is this not generated?
So I tried removing pretraining step by keeping pretrain: blank in ML_CONFIG.yaml but still got an error No such file or directory: '/home/jupyter/deepsentinel/experiments/sacred/4/pretrained_model.pth'
What should I be doing to either use or not use a pretrained model?
The text was updated successfully, but these errors were encountered:
wtrainor
changed the title
Channel stat .json file?
Pretraining: channel stat .json file or pretrain path's?
Feb 11, 2021
channel_stats is used to get the distributions of each band(/channel) in the imagery -> important for normalising the data prior to model ingestion. You'll need to use bin/channel_stats.py to first generate the means and standard deviations of your data that will be used to normalise. I think I wrote a cli for it, so give it a go.
For using pretraining or not, hmm, I'm not sure what a blank behaviour should give you. If you want to skip pretraining try setting it to none. (I think in yaml none is lower case, but double-check).
I've actually just finished writing up a bit of a paper on this work which might help. I've submitted it to arXiv but might take a day or so to come through. If you email me lucas.kruitwagen@gmail.com I can send it to you directly.
Starting new issue, as I'm trying to train now! But I need some guidance.
Having troubles with the pretrain step. I left the default options from your example ML_CONFIG.yaml file. And got an error about the channel stats file:
No such file or directory: '/home/jupyter/deepsentinel/data/channel_stats/MIsland_v1_junk.json'
Is this not generated?
So I tried removing pretraining step by keeping
pretrain:
blank in ML_CONFIG.yaml but still got an errorNo such file or directory: '/home/jupyter/deepsentinel/experiments/sacred/4/pretrained_model.pth'
What should I be doing to either use or not use a pretrained model?
The text was updated successfully, but these errors were encountered: