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This issue summarizes the tested changes in the input pipeline.
This issue can be more or less treated as a log file. This issue will be tracked by the project board in "Done" section.
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This issue is be used to keep track of the roadmap of TorchVision and get feedback from our users.
For the 2021-H2 roadmap, please see https://github.com/pytorch/vision/issues/4187
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https://ai.googleblog.com/2019/05/efficientnet-improving-accuracy-and.html
It seems like EfficientNet is faster and better than most the other nets out there currently. Would be awesome to see it i…
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Hi,
I am trying to run your code on ImageNet. And I begin to make the split by the command ./generate_ssl_imagenet.sh --runner=DirectRunner --direct_num_workers=16
I successfully make the labele…
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G:\item\1\PaddleOCR-release-2.1\venv\Scripts\python.exe G:/item2/my-paddle-ocr/tools/train.py -c G:\new\my-paddle-ocr\configs\lcls\lcls_mv3.yml
D:\software\Anaconda3\lib\site-packages\setuptools\depe…
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While I have tried to reproduce your result, I faced few problems.
1. no timm module
```
ModuleNotFoundError Traceback (most recent call last)
/data/private/gps-augment/i…
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Thank you for your implementation! Here are some confusions.
In your code, I think images_uw is unlabeled and origin image, and images_us is unlabeled and RandAugment image.
In paper v.3(https:/…
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Hi, thank you for releasing your training code for us to reproduce your models.
I notice the date augmention in your code:
train_dataset = CocoDetection(data_path_train,
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**Describe the feature and the current behavior/state.**
RandAugment and AutoAugment are both policies for enhanced image preprocessing that are included in EfficientNet, but are still using `tf.cont…