Add toggles to the UI to add flipped versions of the datasets, X, Y or both.
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@@ -90,6 +90,20 @@ const docs: { [key: string]: ConfigDoc } = {
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</>
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),
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},
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'datasets.flip': {
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title: 'Flip X and Flip Y',
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description: (
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<>
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You can augment your dataset on the fly by flipping the x (horizontal) and/or y (vertical) axis. Flipping a single axis will effectively double your dataset.
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It will result it training on normal images, and the flipped versions of the images. This can be very helpful, but keep in mind it can also
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be destructive. There is no reason to train people upside down, and flipping a face can confuse the model as a person's right side does not
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look identical to their left side. For text, obviously flipping text is not a good idea.
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<br />
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<br />
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Control images for a dataset will also be flipped to match the images, so they will always match on the pixel level.
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</>
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),
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},
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'train.unload_text_encoder': {
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title: 'Unload Text Encoder',
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description: (
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