Metadata-Version: 2.1
Name: fid-score
Version: 0.1.3
Summary: It calculates the FID score between source and target images
Home-page: UNKNOWN
Author: Rayyan Akhtar
Author-email: akhtar.rayyan@live.com
License: MIT
Description: ### Project Description
        
            Frechet Inception Distance (FID score)
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        ### Install
        
            pip install fid-score
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        ### Requirements
        
            pytorch >= 1.2.0
        
            torchvision >= 0.3.0
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        ### Usage:
            from fid_score.fid_score import FiDScore
            
            fid = FidScore(paths, device, batch_size)
            
            score = fid.calculate_fid_score()
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        ### Arguments
            fid = FidScore(paths, device, batch_size)
            
            paths = ['path of source image dir', 'path of target image dir']
            
            device = torch.device('cuda:0') or default: torch.device('cpu')
            
            batch_size = batch size
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        ### References
            1. FID was introduced by Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler and Sepp Hochreiter in 
            "GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium"
        
            2. The original implementation is by the Institute of Bioinformatics, JKU Linz, licensed under the Apache License 2.0. 
            See https://github.com/bioinf-jku/TTUR.
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Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
