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Last active November 7, 2018 21:14
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PyTorch transforms. See this for saving images: https://gist.github.com/DanielTakeshi/bbaf432347aafa2e9878e93fd6982fd7
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gistfile1.txt
I am testing different PyTorch transforms on my data, and saving sample
images as they are loaded during training. See examples below.
@DanielTakeshi
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transforms.RandomResizedCrop(224, scale=(0.8, 1.0))

Now we don't do the initial scaling. This is probably better for the data we have, less "zoomed in" stuff.

train_0000_failure train_0001_failure train_0002_failure

train_0003_success train_0004_success train_0005_failure

train_0006_failure train_0007_failure train_0008_failure

@DanielTakeshi
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175             transforms.RandomResizedCrop(224, scale=(0.8, 1.0))
176             transforms.RandomVerticalFlip()

So when they say vertical flip, that means a flip ABOUT THE HORIZONTAL AXIS. It is more intuitive their way.

TL;DR in my code use the HORIZONTAL TRANSFORM, so we flip about the vertical axis.

train_0000_success train_0001_failure train_0002_success

train_0003_failure train_0004_success train_0005_success

train_0006_success train_0007_success train_0008_failure

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