alexlib

alexlib

import numpy as np
from matplotlib import pyplot as plt
from typing import Optional, Tuple, Union

def nhist_scipy(
    y: np.ndarray,
    bins: Union[int, np.ndarray] = 20,
    plot: bool = True,
    density: bool = True,
    kde: bool = False

alexlib

FROM ubuntu:20.04 as builder

FROM python:3.10.7

# Create a user to run the application
RUN apt-get update && \
      apt-get -y install sudo

RUN useradd -ms /bin/bash docker && echo "docker:docker" | chpasswd && adduser docker sudo

alexlib

alexlib

test_inpaint_equivalence.py
..
----------------------------------------------------------------------
Ran 2 tests in 1.908s

OK
(.conda) user@user-NUC8i7BEH:~/Documents/repos/OpenOpticalFlow_PIV_v1$ /home/user/Documents/repos/OpenOpticalFlow_PIV_v1/.conda/bin/python /home/user/Documents/repos/OpenOpticalFlow_PIV_v1/test_inpaint_equivalence.py
..
----------------------------------------------------------------------

alexlib

import numpy as np
from scipy.interpolate import RBFInterpolator
import matplotlib.pyplot as plt
import matplotlib.colors as mcolors

def process_frames_average(particles, N, corner_m, fps, max_frames=None):
    """
    Process multiple frames to create average velocity maps.
    
    Args:

alexlib

import pandas as pd
from flowtracks.scene import Scene
import numpy as np

h5_name = r'../corner_51.h5'

particles = Scene(h5_name)
ids = particles.trajectory_ids()

dataframes = []

alexlib

alexlib

alexlib