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Dynamorph currently loads all training data to memory at once, and samples data for each mini-batch with a single process. Training could potentially be sped up using [pytorch data loader ](https://py…
smguo updated
3 years ago
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Hi! I am trying to implement a dataloader for the LIDC dataset using pylidc. Unfortunately there is major slowdown (20 seconds per epoch to 15 minutes per epoch) in training my model when using this d…
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## 一言でいうと
自然言語処理でData Augmentationを行うシンプルな手法の提案。学習データ分布域内のサンプルが生成されるように、学習データをcorrupt(一部単語をMask)して事前学習済み言語モデルで復元するという手法を取っている。Sentiment/NLI/翻訳といったタスクで精度向上を確認。
![image](https://user-images.github…
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## 简介
分析data augmentation方法的一致性。动机是说不同的DA方法,比如`RAML`, `Switchout`, `Self-training`(实际就是distillation),`Target-agree`(right-to-left)以及`Back-translation`,在不同数据集上的表现不一致(有的这个bleu高,有的那个bleu高),用single-refer…
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- [x] Load patches (RGB) into numpy array
- [x] Test if label 1 is the damage patch
- [ ] Data augmentation for x_train (labal value = 1)
- [ ] Extract mean per channel
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Hi, I want to know how you preprocess the data into rec file, what data augmentation has been used?
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## 🚀 Feature
Nice project. Please add support to random rotation which can accept a `list degrees`-(0, 90, 180, 270, 360...) not only the `range degrees`, like range(-90, 90). If I miss something,…
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Find some scripts for dataAug here: https://github.com/AgaMiko/data-augmentation-review/blob/master/README.md#Computer-vision
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I am beginner.Attempting to run param_search.py on win11 with cuda(using Pycharm).When running this python file directly (run param_search.py) instead of using run_bci.sh, I have two problems:
1. …
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## 🐛 Bug
When trying to perform data augmentation with bounding boxes and mask in coco format, this is the output the is produced.
The same problem was also reported in #947 but the problem still …