Segmentation_models Alternatives

segmentation_models reviews and mentions

• Instance segmentation of small objects in grainy drone imagery
  8 projects | /r/computervision | 9 Dec 2023

  Also, I’d suggest considering switching to the segmentation-models library - it provides U-Net models with a variety of pretrained backbones of as encoders. The author also put out a PyTorch version. https://github.com/qubvel/segmentation_models.pytorch https://github.com/qubvel/segmentation_models

• segmentation-models No module Error
  1 project | /r/computervision | 4 Oct 2022

  I used segmentation-models (https://github.com/qubvel/segmentation_models) to create a deeplabv3+ model. I havent used it in the last 2 months and now i comeback to the same code and cant use it. Getting ModuleNotFoundError: No module named 'segmentation_models_pytorch.deeplabv3'

• recommendations for semantic segmentation of lowish volumes of biomedical images
  1 project | /r/computervision | 26 Jul 2022

  I'm building some semantic segmentation models off of low-moderate volumes of biomedical images (~500 - 1k images). So far I've done some hyperparameter sweeping (learning rate, transfer learning, architectures, dropout layers) using the Segmentation Models package from qubvel https://github.com/qubvel/segmentation_models but I'm only seeing moderate performance and minimal differences between tested parameters.

• Can we use autoencoders to change an existing image instead of create one from scratch?
  1 project | /r/learnmachinelearning | 13 Dec 2021

  So, image segmentation (especially for satellite images) is a known problem. Search for semantic segmentation and unet (a model used for semantic segmentation). Also, if you use tensorflow there is this library which I found useful segmentation models.

• Anyone implemented latest image segmentation models/tuning from cvpr 2021?
  1 project | /r/learnmachinelearning | 2 Jul 2021

  I am doing an image segmentation project using https://github.com/qubvel/segmentation_models as the baseline. I was wondering if any of you have tried the latest segmentation models from cvpr papers. If yes, which ones you found to be interesting or actually improve miou. And how difficult/easy it is to implement those?

• Semantic Segmentation
  1 project | /r/computervision | 4 Mar 2021
• Any way to speed up inference prepare operations on host (CPU)?
  1 project | /r/tensorflow | 18 Jan 2021

  That is just U-net from this repo, anything aside is slicing images to fit into window and predict call. I measure time of predict() and it is the same as profiler numbers, so definitely my other operations are beyond profiler. C API code is just creating tensors and calling TF_SessionRun plus slice operations with opencv. Can't post code, sorry.

• D Simple Questions Thread December 20 2020
  1 project | /r/MachineLearning | 18 Jan 2021

  I'm trying to train image segmentation model with transfer learning using https://github.com/qubvel/segmentation_models/.

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