Augmentor
torchio
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Augmentor | torchio | |
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1 | 2 | |
5,023 | 1,954 | |
- | - | |
0.0 | 8.2 | |
about 1 month ago | 12 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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Augmentor
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Improve Your Deep Learning Models with Image Augmentation
There are many good options when it comes to tools and libraries for implementing data augmentation into our deep learning pipeline. You could for instance do your own augmentations using NumPy or Pillow. Some of the most popular dedicated libraries for image augmentation include Albumentations, imgaug, and Augmentor. Both TensorFlow and PyTorch even come with their own packages dedicated to image augmentation.
torchio
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[P] TorchIO: a Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning
Doesn't seem that way, but its being discussed https://github.com/fepegar/torchio/issues/388
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[D] Affine Transform for data boosting?
See the torchio package: https://github.com/fepegar/torchio
What are some alternatives?
imgaug - Image augmentation for machine learning experiments.
Super-SloMo - PyTorch implementation of Super SloMo by Jiang et al.
caer - High-performance Vision library in Python. Scale your research, not boilerplate.
pytorch-widedeep - A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
awesome-colab-notebooks - Collection of google colaboratory notebooks for fast and easy experiments
pytorch-toolbelt - PyTorch extensions for fast R&D prototyping and Kaggle farming
TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch - Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
3d-multi-resolution-rcnn - Official PyTorch implementaiton of the paper "3D Instance Segmentation Framework for Cerebral Microbleeds using 3D Multi-Resolution R-CNN."
mammography_metarepository - Meta-repository of screening mammography classifiers