ibaiGorordo / depthai-TopFormer-Semantic-Segmentation

Python scripts performing on devive semantic segmentation using the TopFormer model in depthai.

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depthai TopFormer Semantic Segmentation

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

!TopFormer Semantic Segmentation 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

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.

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
python main_video.py

!CREStereo depth estimation Depthai

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

References:

About

Python scripts performing on devive semantic segmentation using the TopFormer model in depthai.

License:MIT License


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