emmanuelle

from skimage.segmentation import active_contour
from skimage import io, color, transform, filters, util

import numpy as np
import matplotlib.pyplot as plt


image = io.imread('statue.jpg')
print('Rescaling image...')
image = transform.rescale(image, 0.05)

emmanuelle

import numpy as np
from skimage import io, restoration
from skimage import img_as_float
from scipy import ndimage


def hysteresis_thresholding(im, high_threshold=0.5, low_threshold=0.2):
    """
    Hysteresis thresholding, using two thresholds.

emmanuelle

import numpy as np
import inspect
from skimage import exposure, feature, filters, measure, morphology, \
                    restoration, segmentation, transform, util


def only_one_nondefault(args):
    """
    Returns True if the function has only one non-keyword parameter,
    False otherwise.

emmanuelle

import numpy as np
from sklearn.externals.joblib import Parallel, delayed


def apply_parallel(func, data, *args, chunk=100, overlap=10, n_jobs=4, 
                                      **kwargs):
    """
    Apply a function in parallel to overlapping chunks of an array.
    
    joblib is used for parallel processing.

emmanuelle

import numpy as np
import inspect
from skimage import exposure, feature, filters, measure, morphology, \
                    restoration, segmentation, transform, util, data, color
from timeit import default_timer
import pandas as pd
import cv2
import time

###this python script returns a csv of function runtimes

emmanuelle

emmanuelle

import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import plotly.graph_objs as go

import numpy as np
from skimage import data

emmanuelle

import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import plotly.graph_objs as go

import numpy as np
from skimage import data

emmanuelle

emmanuelle

import dash
from dash.dependencies import Input, Output
import dash_core_components as dcc
import dash_html_components as html
import plotly.graph_objects as go
import plotly.express as px

gapminder = px.data.gapminder().query("year == 2007").reset_index()

app = dash.Dash(__name__)