nepomnyi

import cv2
import numpy as np

def customDeen(frame0,
               frame1,
               blockOne,
               algorithmType = 'basic',
               minMaxKernel = (15,15),
               minMaxLowLimit = 10,
               cliplimit = 2.0,

nepomnyi

import cv2
import numpy as np

def minMaxFilter(img, filterSize, minContrast):
    """
    After R.Adrian, J.Westerweel, "Particle image velocimetry", Cambridge
    university press, 2011. See ch.6.1.2, p.248-250.
    Parameters: img (ndarray) - image to be filtered
                filterSize (ndarray) - a 1x2 numpy array of the filter height
                                        and width correspondingly

FedericoTartarini

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% this code was copied from https://tex.stackexchange.com/a/516102
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

\usepackage[bigfiles]{pdfbase}
\ExplSyntaxOn
\NewDocumentCommand\embedvideo{smm}{
  \group_begin:
  \leavevmode
  \tl_if_exist:cTF{file_\file_mdfive_hash:n{#3}}{

yangyushi

"""
Different functions to get pairwise distance in cubic box with PBC

Args:
    positions: the positions of particles, shape (N, dim)
    box (int or float): the size of the box

Return:
    np.ndarray: the pair-wise distances, shape (N, N)
"""

pierrelouisbescond

ErichZimmer

AndreasTsikri

IlievskiV

serazing

import numpy as np
import numba
import xarray as xr

@numba.jit(nopython=True)
def lowess_1d(y, x, alpha=2. / 3., it=10):
    """lowess(x, y, f=2./3., iter=3) -> yest
    Lowess smoother: Robust locally weighted regression.
    The lowess function fits a nonparametric regression curve to a scatterplot.
    The arrays x and y contain an equal number of elements; each pair

yosefm

# -*- coding: utf-8 -*-
"""
Problem: the candidate may already be linked. Need to register the candidate 
and update both if the candidate has a better link.

Created on Wed Feb 22 12:08:02 2017

@author: yosef, based on attempt by lillyverso
"""