ttach VS PixelLib

Compare ttach vs PixelLib and see what are their differences.

ttach

Image Test Time Augmentation with PyTorch! (by qubvel)
Augmentation Deep Learning test-time-augmentation tta tta-wrapper Pytorch Computer Vision Classification Segmentation keypoint-detection
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PixelLib

Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/ (by ayoolaolafenwa)
Computer Vision Machine Learning Artificial intelligence image-segmentation semantic-segmentation instance-segmentation video-segmentation deeplab Deeplearning maskr-cnn Tensorflow Deep Learning pointrend Pytorch convolutional-neural-networks Segmentation object-detection
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ttach PixelLib
1 3
941 1,008
- -
0.0 0.0
9 months ago 7 months ago
Python Python
MIT License MIT License
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.

ttach

Posts with mentions or reviews of ttach. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-09.
  • Setting up Google Colab for Deep Learning
    2 projects | dev.to | 9 Jun 2021
    While Colab usually comes pre-installed with most of the basic dependencies like Tensorflow, PyTorch, scikit-learn, pandas and many more, there are chances that you have to install external packages at times. You can do that using the !pip install command. For example we can install the ttach library which is used for augmentation of images during test phase. This can be done using:

PixelLib

Posts with mentions or reviews of PixelLib. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-29.

What are some alternatives?

When comparing ttach and PixelLib you can also consider the following projects:

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

Human-Segmentation-PyTorch - Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

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)

sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

autoalbument - AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/

FasterRCNN - Clean and readable implementations of Faster R-CNN in PyTorch and TensorFlow 2 with Keras.

deepsegment - A sentence segmenter that actually works!

mask-rcnn - Mask-RCNN training and prediction in MATLAB for Instance Segmentation

pointnet2 - PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

fashion-segmentation - A tensorflow model for segmentation of fashion items out of multiple product images

DeepLabCut - Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

rembg-greenscreen - Rembg Video Virtual Green Screen Edition

ttach vs albumentations PixelLib vs Human-Segmentation-PyTorch ttach vs TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch PixelLib vs sahi ttach vs autoalbument PixelLib vs FasterRCNN ttach vs deepsegment PixelLib vs mask-rcnn ttach vs pointnet2 PixelLib vs fashion-segmentation ttach vs DeepLabCut PixelLib vs rembg-greenscreen