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Hi all,
First off thanks for the hard work you have put in creating stable baselines 3, it's helped me a bunch.
I have a fairly simple suggestion that I think fits in the contrib repo. In my wo…
ac-93 updated
3 years ago
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Hi,
Thanks for this implementation.
I know that the dataset is just 30 images, but can I know how many total images you used after performing data augmentation?
Thank you!
Chaitanya.
ghost updated
4 years ago
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Train a shapefix network with larger images and augmentation. Make notes about how much memory is used with different augmentation levels.
gngdb updated
9 years ago
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Hi, I notice there are some data augmentation procedures during the inference stage since the logger shows:
`[DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=…
ghost updated
1 month ago
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Hello,
In the dataset_format documentation, it is specified that "The different input channels MUST have the same geometry (same shape, spacing (if applicable) etc.) and must be co-registered (if …
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Hi,
In the training code, I noticed `random_flip` being used as an augmentation.
Did you see any impact of this in terms of spatial captions?
e.g. if the caption says `a toy to the left of cat` an…
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Hi,
I have applied the code below for data augmentation but I dont know how can I calculate the number of training dataset after data augmentation.
augmentation = iaa.SomeOf((0, 2), [
iaa…
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In Gluon/mx.image, it still does not have an API to do image rotation. For a quick search, it seems a lot of user has the same issue.
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I'm looking for clarification so that I can benchmark against your method on my own data.
Here's my understanding:
Presuming we have pre-trained VAE (any other unsupervised non-contrastive emb…