This is the Linux app named Segmentation Models whose latest release can be downloaded as SegmentationModels-v0.3.2.zip. It can be run online in the free hosting provider OnWorks for workstations.
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Segmentation Models
DESCRIPTION
Segmentation models with pre trained backbones. High-level API (just two lines to create a neural network) 9 models architectures for binary and multi class segmentation (including legendary Unet) 124 available encoders (and 500+ encoders from timm) All encoders have pre-trained weights for faster and better convergence. Popular metrics and losses for training routines. All encoders have pretrained weights. Preparing your data the same way as during weights pre-training may give you better results (higher metric score and faster convergence). It is not necessary in case you train the whole model, not only the decoder. Pytorch Image Models (a.k.a. timm) has a lot of pretrained models and interface which allows using these models as encoders in smp, however, not all models are supported. Input channels parameter allows you to create models, which process tensors with an arbitrary number of channels.
Features
- High level API (just two lines to create a neural network)
- 9 models architectures for binary and multi class segmentation (including legendary Unet)
- 124 available encoders (and 500+ encoders from timm)
- All encoders have pre-trained weights for faster and better convergence
- Popular metrics and losses for training routines
- Create your first Segmentation model with SMP
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/segmentation-models.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
