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Python scripts performing on devive semantic segmentation (ADE20K 150 classes)using the TopFormer model in depthai.

Taken from: https://youtu.be/fzZEylhZTbI

Requirements

• Check the requirements.txt file.
• Additionally, pafy and youtube-dl are required for youtube video inference.

Installation

git clone https://github.com/ibaiGorordo/depthai-TopFormer-Semantic-Segmentation.git
cd depthai-TopFormer-Semantic-Segmentation
pip install -r requirements.txt

For youtube video inference

pip install youtube_dl
pip install git+[https://github.com/zizo-pro/pafy@b8976f22c19e4ab5515cacbfae0a3970370c102b](https://github.com/zizo-pro/pafy@b8976f22c19e4ab5515cacbfae0a3970370c102b)

MyriadX models

The original Pytorch models were converted to MyriadX blob using the Google Colab notebook below. You can download the converted models from Google Drive and save them into the modes folder.

• Conversion notebook: TopFormer_to_MyriadX_Conversion.ipynb
• The License of the models is Apache-2.0 License: https://github.com/hustvl/TopFormer/blob/main/LICENSE

ONNX Inference

The model can also run in ONNX using the scripts in this repository.

Pytorch model

The original Pytorch model can be found in this repository: https://github.com/hustvl/TopFormer

Examples

• Depthai Semantic Segmentation using the camera in the board (~20 fps for small model):

   python main.py
  

• Video inference: https://youtu.be/x3UVNlPlFlc

   python main_video.py
  

  

Original video: https://youtu.be/fzZEylhZTbI

References:

• TopFormer model: https://github.com/hustvl/TopFormer
• ONNX TopForfmer: https://github.com/ibaiGorordo/ONNX-TopFormer-Semantic-Segmentation
• Luxonis Depthai: https://docs.luxonis.com/en/latest/
• PINTO0309’s model zoo: https://github.com/PINTO0309/PINTO_model_zoo
• Original paper: https://arxiv.org/abs/2204.05525