pointnet VS pointnet2

Compare pointnet vs pointnet2 and see what are their differences.

pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation (by charlesq34)

pointnet2

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space (by charlesq34)
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pointnet pointnet2
1 2
4,592 2,875
- -
0.0 0.0
6 months ago over 1 year ago
Python Python
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
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.
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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.

pointnet

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

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.

What are some alternatives?

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

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

segmentation_models - Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

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

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

h-former - H-Former is a VAE for generating in-between fonts (or combining fonts). Its encoder uses a Point net and transformer to compute a code vector of glyph. Its decoder is composed of multiple independent decoders which act on a code vector to reconstruct a point cloud representing a glpyh.

ttach - Image Test Time Augmentation with PyTorch!

AREnets - Tensorflow-based framework which lists attentive implementation of the conventional neural network models (CNN, RNN-based), applicable for Relation Extraction classification tasks as well as API for custom model implementation

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