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https://github.com/jasonlbx13/FaceHack/blob/b4beda81354806a13efe3c992d819fc6a9f83d65/face_gan/main.py
Given an existing star / celebrity load / save
this code could be put into a pipeline / for …
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Hi, I'm trying to subsample a large dataset (LAION 400M) represented in the web dataset format and was hoping for some pointers. Just based on the documentation I am unsure what the best approach is.
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Thx for your great work and code sharing. Would you share the pretrain model to test on directly?
woxue updated
1 month ago
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i cann‘t understand how Augment data in your code. Could you solve my question?
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### 🚀 The feature
Make `_RandomApplyTransform` public for custom random apply transforms.
https://github.com/pytorch/vision/blob/9ebf10af02aeb882bd8d7782149e21b48528d562/torchvision/transforms/v…
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### Describe the question.
Thanks for this work.
I have a pipeline for training image segmentation modes. I am using albumentations library for data augmentations.
Now it is time for me to try D…
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Hi Folks,
not an issue, but perhaps a question or an enhancement request. What would be the easiest way to add Test Time augmentation to the model? For now, I see the only way is to override Neura…
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When given a batch, the current SpecAugment implementation does not take the different lengths of the samples into account. It can happen that the time-mask is applied to padded areas.
The positions …
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# Different data augmentation recipes in tf.keras for image classification | Sayak Paul
Learn about different ways of doing data augmentation when training an image classifier in tf.keras.
[https://…
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Thank you for your work. I tried to reproduce the results, but the results were not good. I only did simple data enhancement during training, and did not make the number of positive and negative sampl…
LauJN updated
3 years ago