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Thank you for your great work.
I have a question about the code:
As `timm.data.create_transform` returns `timm.data.auto_augment.RandAugment` object, I checked the behavior of this object by pas…
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Hi,
According to the theory, in stage 1, two different types of augmentations should be applied to a batch of samples.
1) crop and resize
2) AutoAugment/randaugment/simaugment.
It seems the code d…
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![image](https://user-images.githubusercontent.com/38682321/126587873-abca34d1-4bd5-4da3-87a8-1376f7b2b1ea.png)
请问SSLD蒸馏训练中,有使用mixup这些trick吗? 比如上表的83.0,有使用mixup吗?
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训练方向检测模型:配置文件如下:
Global:
use_gpu: true
epoch_num: 50
log_smooth_window: 20
print_batch_step: 50
save_model_dir: ./output/cls/mv3/
save_epoch_step: 200
# evaluation is run every 5…
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Once #43 is merged in, then `Event.INIT` can be removed.
`Event.TRAINING_START` can be moved up to the line right before `ddp.prepare_module()`. All existing algorithms that currently run on traini…
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## 🚀 Feature
Need [RandAugment](https://arxiv.org/pdf/1909.13719.pdf) module inside `torchvision.transforms` for augmenting images before training. This would ease the implementation of RandAugment…
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Looking through the code, I found this
```python
metric1 = {
'name': 'accuracy',
'regex': re.compile(r'\* accuracy: ([\.\deE+-]+)%')
}
metric2 = {
'name': 'er…
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!python tools/test.py ./configs/swin_transformer/swin-tiny_cats-dogs.py work_dirs/swin-tiny_cats-dogs/latest.pth --metrics=accuracy --metric-options=topk=1
/usr/local/lib/python3.7/dist-packages/…
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In #45 , I have found some basic details about finetuning for CIFAR10 and Cars, but I could not find anything about other datasets.
So, could you please also provide the details about hyperparamete…
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Thanks for this amazing codebase.
I think the M & N for the Random Augment have been interchanged in the README and the code. M should be N and vice-versa.
As in the file data.augmentations.rand…