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pytorch-lightning semantic segmentation using DroneDeploy Dataset

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Semantic Segmentation - Drone Deploy Aerial Dataset

Semantic segmentation implementation based on pytorch-lightning.

Training

using main.py with predefined data paths (TODO: add hparams)

python main.py

Prediction

Prediction example at

Inference.ipynb 

file

Results

Example results on Unet, after 16 epochs, trained on 768x768 resolution.

results

Todo's

  • ENet
  • pspnet
  • add hparams

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pytorch-lightning semantic segmentation using DroneDeploy Dataset

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