Augmentor VS torchio

Compare Augmentor vs torchio and see what are their differences.

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Augmentor torchio
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
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Augmentor

Posts with mentions or reviews of Augmentor. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-05.
  • Improve Your Deep Learning Models with Image Augmentation
    2 projects | dev.to | 5 Apr 2022
    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

Posts with mentions or reviews of torchio. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Augmentor and torchio you can also consider the following projects:

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