Python package for curve similarity measures.
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Updated
Jun 12, 2024 - Python
Python package for curve similarity measures.
Official Repository for the paper "Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend".
PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]
[CVPR 2024] On the Content Bias in Fréchet Video Distance
Computing the Sliding Fréchet Inception Distance between fake and real images with continous labels
Comparison of different (fast) discrete Fréchet distance implementations in C++ and CUDA.
A Python library for doing curve matching with Fréchet distance and Procrustes analysis
Compute FID scores with PyTorch.
Comparison of different (fast) discrete Fréchet distance implementations in Python.
📈 The package allows you to check the similarity between two shapes/curves, using Frechet distance together with Procrustes analysis.
Quantify the difference between two arbitrary curves in space
A toolkit for computing Fréchet Inception Distance (FID) & Fréchet Video Distance (FVD) metrics.
A fast, scalable and light-weight C++ Fréchet and DTW distance library, exposed to python and focused on clustering of polygonal curves.
Frechet Audio Distance evaluation in PyTorch
A Manim animated presentation of the Fréchet distance, it's use cases, variants and algorithms.
Lexicographic Fréchet Matchings with Degenerate Inputs
📈 kNN using LSH and Hypercube projection & Clustering using kMeans++ for n-dim polygonal curves and time series
Near neighbor searching and clustering using LSH
Read from csv file and compute the Frechet distance of the two curves.
📈|Time Series - Nearest neighbor search and Clustering using LSH, Hypercube (and Lloyd's only at the clustering) algorithms with metrics: L2, Discrete and Continuous Fréchet.
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