WinDB3ll / FCN_KITTI

Implementation of semantic segmentation of FCN structure using KITTI road dataset😝😝😝

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Using FCN for road segmentation (KITTI dataset)

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Install

git clone https://github.com/Phoenix8215/FCN_KITTI  # clone
cd 
pip install -r requirements.txt  # install

Instructure manual

  • usemake_tsv.pyto generate the train set,validation set and test set with tsv format,the set of validation and testing is 80%,20% respectively.

  • backbone use VGG16,loss function is binary cross entropy,training 60 epochs.

  • usepython3 train.pyto train the model,and visual the process of training.

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  • use python3 test.pyto predict ,outputs are stored inoutputfolder.

  • generated weight files which is inckptfolder.

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Implementation of semantic segmentation of FCN structure using KITTI road dataset😝😝😝

License:MIT License


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Language:Python 100.0%