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python Programming Glossary: scipy.ndimageResampling a numpy array representing an image http://stackoverflow.com/questions/13242382/resampling-a-numpy-array-representing-an-image on every channel separately create my own using scipy.ndimage.interpolation.affine_transform The first one would probably.. improve this question Based on your description you want scipy.ndimage.zoom . Bilinear interpolation would be order 1 nearest is order.. resolution. As a quick example import numpy as np import scipy.ndimage x np.arange 9 .reshape 3 3 print 'Original array ' print x print..
PySide: Separating a spritesheet / Separating an image into contiguous regions of color http://stackoverflow.com/questions/14432021/pyside-separating-a-spritesheet-separating-an-image-into-contiguous-regions-o uses scipy for these tasks import sys import numpy from scipy.ndimage import label morphology def split_sprite img mask bg join_interior..
Fast interpolation of grid data http://stackoverflow.com/questions/16983843/fast-interpolation-of-grid-data gridded nature of the original data. The first is scipy.ndimage.zoom . If you just want to produce a denser regular grid based.. the original data this is the way to go. The second is scipy.ndimage.map_coordinates . If you'd like to interpolate a few or many.. no quadtree required it's the way to go. Zooming an array scipy.ndimage.zoom As a quick example This will use cubic interpolation. Use..
Python finite difference functions? http://stackoverflow.com/questions/18991408/python-finite-difference-functions so the following applies to that This is built into the scipy.ndimage package if you want to do it for ndarrays. Be cautious though..
Scipy interpolation on a numpy array http://stackoverflow.com/questions/3057015/scipy-interpolation-on-a-numpy-array wanting to interpolate a 2D array at an arbitrary point. scipy.ndimage.map_coordinates is what you want.... As I understand your question.. y 20000.000001 4.5. As an example import numpy as np from scipy.ndimage import map_coordinates # Setup z np.array 3.6 6.5 9.1 11.5..
How can I improve my paw detection? http://stackoverflow.com/questions/4087919/how-can-i-improve-my-paw-detection use a larger kernel the structure kwarg to the various scipy.ndimage.morphology functions but this isn't quite working properly for.. of code. import numpy as np import scipy as sp import scipy.ndimage import matplotlib.pyplot as plt from matplotlib.patches import..
http://stackoverflow.com/questions/4502656/how-to-sort-my-paws pressure value for the paw impact. def paw_image paw from scipy.ndimage import map_coordinates ny nx paw.shape # Trim off any blank..
Using strides for an efficient moving average filter http://stackoverflow.com/questions/4936620/using-strides-for-an-efficient-moving-average-filter arrays up to 5000x5000 x 16 layers in size a task that scipy.ndimage.filters.convolve is fairly slow at. Note that I am looking for.. You're not going to be able to significantly beat scipy.ndimage functions for 1D arrays however. scipy.ndimage.uniform_filter.. beat scipy.ndimage functions for 1D arrays however. scipy.ndimage.uniform_filter should beat scipy.ndimage.convolve though Moreover..
High Pass Filter for image processing in python by using scipy/numpy http://stackoverflow.com/questions/6094957/high-pass-filter-for-image-processing-in-python-by-using-scipy-numpy questions you've been asking you should probably look into scipy.ndimage instead of scipy.filter especially if you're going to be working..
Efficient method of calculating density of irregularly spaced points http://stackoverflow.com/questions/6652671/efficient-method-of-calculating-density-of-irregularly-spaced-points math from scipy.spatial import KDTree import time import scipy.ndimage as ndi def grid_density_kdtree xl yl xi yi dfactor zz np.empty.. 350ms on my 6 year old laptop. import numpy as np import scipy.ndimage as ndi data np.random.rand 30000 2 255 ## create random dataset..
How to extract an arbitrary line of values from a numpy array? http://stackoverflow.com/questions/7878398/how-to-extract-an-arbitrary-line-of-values-from-a-numpy-array There are two more memory efficient ways. 1 use scipy.ndimage.map_coordinates if you need bilinear or cubic interpolation... As an example of the first import numpy as np import scipy.ndimage import matplotlib.pyplot as plt # Generate some data... x y.. the values along the line using cubic interpolation zi scipy.ndimage.map_coordinates z np.vstack x y # Plot... fig axes plt.subplots..
Smoothing Data in Contour Plot with Matlibplot http://stackoverflow.com/questions/8055489/smoothing-data-in-contour-plot-with-matlibplot import numpy as np import matplotlib.pyplot as plt import scipy.ndimage as ndimage X Y np.mgrid 70 70 70 70 Z np.cos X 2 Y 2 200. np.random.normal..
Get coordinates of local maxima in 2D array above certain value http://stackoverflow.com/questions/9111711/get-coordinates-of-local-maxima-in-2d-array-above-certain-value value from PIL import Image import numpy as np from scipy.ndimage.filters import maximum_filter import pylab # the picture 256.. let's say 500 I'm afraid I don't really understand the scipy.ndimage.filters.maximum_filter function. Is there a way to obtain pixel.. this question import numpy as np import scipy import scipy.ndimage as ndimage import scipy.ndimage.filters as filters import matplotlib.pyplot..
Rectangular bounding box around blobs in a monochrome image using python http://stackoverflow.com/questions/9525313/rectangular-bounding-box-around-blobs-in-a-monochrome-image-using-python Kington's find_paws function . import numpy as np import scipy.ndimage as ndimage import scipy.spatial as spatial import scipy.misc..
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