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@alancucki
I am a huge fan of the work here, it's honestly the most stable and fast TTS system I have used.
**Is your feature request related to a problem? Please describe.**
Is there a way to p…
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### 🚀 The feature
Randomly sample augmentation parameters for each image in the batch
### Motivation, pitch
Torch augmentations have two big advantages over alternatives like Albumentations: abilit…
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Prioritize fast, GPU-based audio augmentations that maintain the vocal content. I'd like to use nnAudio for the spectogram computation, so augmentations that use PyTorch modules are ideal.
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There is weak augmentations for teacher model. I would like to learn what is the cropping ratio for weak augmentation? This makes model inference about 3x faster compared to base faster rcnn model.
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This issue is a continuation of #404 and #406.
As mentioned in the Issue/PR above, there is room for improvement regarding the augmentation pipeline.
Before going in one direction or another, we s…
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Hi, weiliu,
First of all, thanks so much for the great SSD work.
In your eccv's presentation, you mentioned that the mAP of SSD 512 could be improve from 77% to 80% by simply adding some random expans…
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User story: As a teacher, I want to duplicate an existing action step with all its content in the same activity, so that it is quicker to create multiple steps that meant to have the same kinds of aug…
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In PyTorch SimCLR and follow-up papers used a simple class to apply transforms to a batch. (See [Here](https://github.com/sthalles/SimCLR/blob/master/data_aug/view_generator.py)).
Here in Braindecode…
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Hi,
I've noticed that FFCV can deliver nice speedups for individual steps. For context:
- I have lots of images of shape 256 x 256 x 3
- I use many augmentations, some even repeated as I'm using …
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Hello Andras7,
Thank you for this fast and effective implementation of word2vec. We have forked your repository and added some augmentations for a research project, and would like to properly ackno…