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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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**Description:** The current Convolutional Neural Network (CNN) model for terrain classification is functional, but there are several areas for improvement to boost performance and efficiency. These o…
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There are many aspects to this, I figure we can collect info in this issue so as not to duplicate too much work.
Some specific tasks are:
- [ ] Establish a benchmarking strategy/suite, may need …
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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 mmdet maintainers,
Thanks for the repo. We are the project lead of [Kornia](https://github.com/kornia/kornia), and thinking of the possibilities of integrating Kornia augmentation pipeline into …
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### General
- [x] Prepare scaling plots until end of february. Y-axis: the speedup we get when running one epoch through the model for 2,4,6,8,10 GPUs
- [x] Find out how many samples we have in the …
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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 …