Multiclass-Semantic-Segmentation-CamVid

keras image-processing

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

How to download and setup Multiclass-Semantic-Segmentation-CamVid

Open terminal and run command

git clone https://github.com/advaitsave/Multiclass-Semantic-Segmentation-CamVid.git

git clone is used to create a copy or clone of Multiclass-Semantic-Segmentation-CamVid repositories. You pass git clone a repository URL.
it supports a few different network protocols and corresponding URL formats.

Also you may download zip file with Multiclass-Semantic-Segmentation-CamVid https://github.com/advaitsave/Multiclass-Semantic-Segmentation-CamVid/archive/master.zip

Or simply clone Multiclass-Semantic-Segmentation-CamVid with SSH

[email protected]:advaitsave/Multiclass-Semantic-Segmentation-CamVid.git

If you have some problems with Multiclass-Semantic-Segmentation-CamVid

You may open issue on Multiclass-Semantic-Segmentation-CamVid support forum (system) here: https://github.com/advaitsave/Multiclass-Semantic-Segmentation-CamVid/issues

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