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All Projects → shahabty → PSPNet-Pytorch

shahabty / PSPNet-Pytorch

Licence: other
Implemetation of Pyramid Scene Parsing Network in Pytorch

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python
139335 projects - #7 most used programming language

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caffepytorchsemantic-segmentationpspnet

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PSPNet-Pytorch

This Repo contains an implemetation of "Pyramid Scene Parsing Network" in Pytorch. Pretrained weights are converted from Official Caffe Repo. The performance is: [acc 0.95196], [acc_cls 0.83369], [mean_iu 0.75547], [fwavacc 0.91172] on Validation set of CityScapes Dataset.

Installation

  1. Install Anaconda3 from Here
  2. Create a Conda Environment:
username@PC:~$ conda env create -f environment.yml
  1. Download Cityscapes Dataset from Here
  2. Download Caffe Pretrained from Here and put it in Caffe-PSPNet folder
  3. Run the code:
username@PC:~$ python main.py

Qualitative

Note

Weight conversion from Caffe to Pytorch is modified from pytorch-semseg.
Preprocessing and loss function is modified from pytorch-semantic-segmentation.
Since the differences are significant, I decided not to add a branch to any of the the above project.

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