Package profile
lpips
- Summary: LPIPS Similarity metric
- Author: Richard Zhang
- License: BSD License
- Homepage: https://github.com/richzhang/PerceptualSimilarity
- Source: https://github.com/richzhang/PerceptualSimilarity
- Number of releases: 5
- First release: 0.1 on 2020-09-06
- Latest release: 0.1.4 on 2021-08-25
- Latest release size: 52.5 KB (pure Python wheel)
Dependencies
Lpips has 5 dependencies, 0 of which optional.Dependent packages
| Package | Optional | Group |
|---|---|---|
| cache-dit | true | metrics |
| crfm-helm | true | image2struct |
| modelscope | true | cv |
| monai | true | all |
| torchmetrics | true | dev |
Similar packages
- faiss-gpuA library for efficient similarity search and clustering of dense vectors.
- faiss-cpuA library for efficient similarity search and clustering of dense vectors.
- editdistanceFast implementation of the edit distance (Levenshtein distance)
- pykmipKMIP library
- torchmetricsPyTorch native Metrics
- pytorch-metric-learningThe easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
- pyjarowinklerFinds the Jaro Winkler Distance indicating a distance or similarity score between two strings.