pointnet2 vs ttach

pointnet2

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space (by charlesq34)

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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pointnet2		ttach
	Project
2	Mentions	1
2,875	Stars	943
-	Growth	-
0.0	Activity	0.0
over 1 year ago	Latest Commit	9 months ago
Python	Language	Python
GNU General Public License v3.0 or later	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.

pointnet2

Posts with mentions or reviews of pointnet2. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-15.

Why does trained model fail on new data?
1 project | /r/learnmachinelearning | 26 Aug 2022

Is this how you trained the segmentation? https://github.com/charlesq34/pointnet2
Are the New M1 Macbooks Any Good for Deep Learning? Let’s Find Out
6 projects | news.ycombinator.com | 15 Feb 2021

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:

What are some alternatives?

When comparing pointnet2 and ttach you can also consider the following projects:

Pointnet_Pointnet2_pytorch - PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

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

ROCm - AMD ROCm™ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]

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)

dgcnn.pytorch - A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

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

deepsegment - A sentence segmenter that actually works!

RAFT

mmrazor - OpenMMLab Model Compression Toolbox and Benchmark.

BlenderProc - A procedural Blender pipeline for photorealistic training image generation

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