Python init_matplotlib Beispiele

Beispiel #1

Datei: all_imports.py Projekt: simplesoftMX/ibeis

import warnings
import zipfile
if not sys.platform.startswith('win32'):
    import resource
# PIPI
if six.PY2:
    import functools32
import psutil
# Qt
import sip
from guitool import __PYQT__
from guitool.__PYQT__ import QtCore, QtGui
from guitool.__PYQT__.QtCore import Qt
# Matplotlib
from plottool import __MPL_INIT__
__MPL_INIT__.init_matplotlib()
#mpl.use('Qt4Agg')  # pyinstaller hack
import matplotlib
import matplotlib as mpl
import matplotlib.pyplot as plt
# Scientific
import numpy as np
import numpy.linalg as npl
from numpy import (array, rollaxis, sqrt, zeros, ones, diag)
from numpy.core.umath_tests import matrix_multiply
import cv2
from PIL import Image
from PIL.ExifTags import TAGS
from scipy.cluster.hierarchy import fclusterdata
from sklearn.cluster import MeanShift, estimate_bandwidth
#import statsmodels

Beispiel #2

Datei: search_ukbench.py Projekt: pioneer911/yael

from yael import ynumpy

# ensure the test data
import utool
utool.ensuredir('selective_match_kernel_v289')
url = 'https://gforge.inria.fr/frs/download.php/file/33650/yael_mini_demo_v0.2.tgz'
utool.grab_zipped_url(url, download_dir='.')

# change directory to test data
import os
os.chdir('yael_mini_demo_v0.2')

# prepare for plotting
try:
    from plottool.__MPL_INIT__ import init_matplotlib
    init_matplotlib()
    #import matplotlib as mpl
    #mpl.use('Qt4Agg')
    import matplotlib.pyplot as plt
    # Python Imaging Library (used to load images)
    from PIL import Image
    show = True
    plt.ion()
except ImportError as RuntimeError:
    print("Cannot import matplotlib or PIL. Not showing graphics!")
    show = False

# the total size of the image descriptors is 128 * num_gmm_components
# (128 is the size of a SIFT descriptor)
num_gmm_components = 16

Beispiel #3

Datei: main_module.py Projekt: Erotemic/ibeis

def _init_matplotlib():
    from plottool import __MPL_INIT__
    __MPL_INIT__.init_matplotlib()

Beispiel #4

Datei: search_ukbench.py Projekt: Erotemic/yael

from yael import ynumpy

# ensure the test data
import utool
utool.ensuredir('selective_match_kernel_v289')
url = 'https://gforge.inria.fr/frs/download.php/file/33650/yael_mini_demo_v0.2.tgz'
utool.grab_zipped_url(url, download_dir='.')

# change directory to test data
import os
os.chdir('yael_mini_demo_v0.2')

# prepare for plotting
try:
    from plottool.__MPL_INIT__ import init_matplotlib
    init_matplotlib()
    #import matplotlib as mpl
    #mpl.use('Qt4Agg')
    import matplotlib.pyplot as plt
    # Python Imaging Library (used to load images)
    from PIL import Image
    show = True
    plt.ion()
except ImportError as RuntimeError:
    print("Cannot import matplotlib or PIL. Not showing graphics!")
    show = False


# the total size of the image descriptors is 128 * num_gmm_components
# (128 is the size of a SIFT descriptor)
num_gmm_components = 16

Beispiel #5

def _init_matplotlib():
    from plottool import __MPL_INIT__
    __MPL_INIT__.init_matplotlib()

Beispiel #6

Datei: all_imports.py Projekt: Erotemic/ibeis

import warnings
import zipfile
if not sys.platform.startswith('win32'):
    import resource
# PIPI
if six.PY2:
    import functools32
import psutil
# Qt
import sip
from guitool import __PYQT__
from guitool.__PYQT__ import QtCore, QtGui
from guitool.__PYQT__.QtCore import Qt
# Matplotlib
from plottool import __MPL_INIT__
__MPL_INIT__.init_matplotlib()
#mpl.use('Qt4Agg')  # pyinstaller hack
import matplotlib
import matplotlib as mpl
import matplotlib.pyplot as plt
# Scientific
import numpy as np
import numpy.linalg as npl
from numpy import (array, rollaxis, sqrt, zeros, ones, diag)
from numpy.core.umath_tests import matrix_multiply
import cv2
from PIL import Image
from PIL.ExifTags import TAGS
from scipy.cluster.hierarchy import fclusterdata
from sklearn.cluster import MeanShift, estimate_bandwidth
#import statsmodels