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Semantic Segmentation for Urban Scene understanding - Cityscapes dataset

License: GNU General Public License v3.0

Python 93.96% Dockerfile 0.62% Shell 4.61% Jupyter Notebook 0.80%
cityscapes deep-learning deeplab-v3-plus machine-learning semantic-segmentation tensorflow unet-image-segmentation

semantic-segmentation's Introduction

  • ๐Ÿ‘‹ Hi, Iโ€™m @KostasStefanidis
  • ๐Ÿ‘€ Iโ€™m interested in Machine Learning, Systems Engineering, Cloud Computing.
  • ๐ŸŽ“ I have graduated as an electrical and computer engineer. The code of my master dissertation on Semantic Segmentation of Urban Scenes with Deep Learning, implemented in Tensorflow can be found in the Semantic-Segmentation repository.
  • ๐Ÿ’ž๏ธ Iโ€™m looking to collaborate on interesting projects
  • ๐ŸŒฑ Iโ€™m currently learning Kubernetes and Pytorch

Programming Skills :

  • Python
    • PyTorch
    • Tensorflow
    • NumPy
    • Pandas
    • Scikit Learn
  • C++
  • Java
  • Matlab

Other skills and tools:

  • Linux and bash scripting
  • Git
  • Docker
  • Ansible
  • Terraform
  • Jenkins

๐Ÿ“ซ How to reach me :

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sonalrpatel

semantic-segmentation's Issues

Could you provide the pretrained backbone file?

I'm using DeepLabV3plus model with an EfficientNetV2M backbone, working on a segmentation task on Cityscapes dataset. I tried downloading the pretrained EfficientNetV2M weights from kaggle but end up with a layer count mismatch. So where can I find the pretrained weights for EfficientNetV2M, or could you provide it? Thanks in advance!

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