diffseg
ttach
diffseg | ttach | |
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1 | 1 | |
220 | 946 | |
9.1% | - | |
5.5 | 0.0 | |
17 days ago | 10 months ago | |
Jupyter Notebook | Python | |
MIT License | MIT License |
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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.
diffseg
ttach
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Setting up Google Colab for Deep Learning
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:
What are some alternatives?
caer - High-performance Vision library in Python. Scale your research, not boilerplate.
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
XMem - [ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
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)
image-background-remove-tool - ✂️ Automated high-quality background removal framework for an image using neural networks. ✂️
autoalbument - AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/
PaddleViT - :robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
deepsegment - A sentence segmenter that actually works!
PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
pointnet2 - PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
mmrazor - OpenMMLab Model Compression Toolbox and Benchmark.
DeepLabCut - Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans