Esempi in Python per histogram

Esempio n. 1

File: image.py Progetto: syurkevi/arrayfire-python

def simple_image(verbose = False):
    display_func = _util.display_func(verbose)
    print_func   = _util.print_func(verbose)

    a = 10 * af.randu(6, 6)
    a3 = 10 * af.randu(5,5,3)

    dx,dy = af.gradient(a)
    display_func(dx)
    display_func(dy)

    display_func(af.resize(a, scale=0.5))
    display_func(af.resize(a, odim0=8, odim1=8))

    t = af.randu(3,2)
    display_func(af.transform(a, t))
    display_func(af.rotate(a, 3.14))
    display_func(af.translate(a, 1, 1))
    display_func(af.scale(a, 1.2, 1.2, 7, 7))
    display_func(af.skew(a, 0.02, 0.02))
    h = af.histogram(a, 3)
    display_func(h)
    display_func(af.hist_equal(a, h))

    display_func(af.dilate(a))
    display_func(af.erode(a))

    display_func(af.dilate3(a3))
    display_func(af.erode3(a3))

    display_func(af.bilateral(a, 1, 2))
    display_func(af.mean_shift(a, 1, 2, 3))

    display_func(af.medfilt(a))
    display_func(af.minfilt(a))
    display_func(af.maxfilt(a))

    display_func(af.regions(af.round(a) > 3))

    dx,dy = af.sobel_derivatives(a)
    display_func(dx)
    display_func(dy)
    display_func(af.sobel_filter(a))

    ac = af.gray2rgb(a)
    display_func(ac)
    display_func(af.rgb2gray(ac))
    ah = af.rgb2hsv(ac)
    display_func(ah)
    display_func(af.hsv2rgb(ah))

    display_func(af.color_space(a, af.CSPACE.RGB, af.CSPACE.GRAY))

Esempio n. 2

def simple_image(verbose=False):
    display_func = _util.display_func(verbose)
    print_func = _util.print_func(verbose)

    a = 10 * af.randu(6, 6)
    a3 = 10 * af.randu(5, 5, 3)

    dx, dy = af.gradient(a)
    display_func(dx)
    display_func(dy)

    display_func(af.resize(a, scale=0.5))
    display_func(af.resize(a, odim0=8, odim1=8))

    t = af.randu(3, 2)
    display_func(af.transform(a, t))
    display_func(af.rotate(a, 3.14))
    display_func(af.translate(a, 1, 1))
    display_func(af.scale(a, 1.2, 1.2, 7, 7))
    display_func(af.skew(a, 0.02, 0.02))
    h = af.histogram(a, 3)
    display_func(h)
    display_func(af.hist_equal(a, h))

    display_func(af.dilate(a))
    display_func(af.erode(a))

    display_func(af.dilate3(a3))
    display_func(af.erode3(a3))

    display_func(af.bilateral(a, 1, 2))
    display_func(af.mean_shift(a, 1, 2, 3))

    display_func(af.medfilt(a))
    display_func(af.minfilt(a))
    display_func(af.maxfilt(a))

    display_func(af.regions(af.round(a) > 3))

    dx, dy = af.sobel_derivatives(a)
    display_func(dx)
    display_func(dy)
    display_func(af.sobel_filter(a))

    ac = af.gray2rgb(a)
    display_func(ac)
    display_func(af.rgb2gray(ac))
    ah = af.rgb2hsv(ac)
    display_func(ah)
    display_func(af.hsv2rgb(ah))

    display_func(af.color_space(a, af.CSPACE.RGB, af.CSPACE.GRAY))

Esempio n. 3

# The complete license agreement can be obtained at:
# http://arrayfire.com/licenses/BSD-3-Clause
########################################################

import arrayfire as af
import sys
import os

if __name__ == "__main__":

    if (len(sys.argv) == 1):
        raise RuntimeError("Expected to the image as the first argument")

    if not os.path.isfile(sys.argv[1]):
        raise RuntimeError("File %s not found" % sys.argv[1])

    if (len(sys.argv) >  2):
        af.set_device(int(sys.argv[2]))

    af.info()

    hist_win = af.Window(512, 512, "3D Plot example using ArrayFire")
    img_win  = af.Window(480, 640, "Input Image")

    img = (af.load_image(sys.argv[1])).(af.Dtype.u8)
    hist = af.histogram(img, 256, 0, 255)

    while (not hist_win.close()) and (not img_win.close()):
        hist_win.hist(hist, 0, 255)
        img_win.image(img)

Esempio n. 4

File: simple_image.py Progetto: PierreBizouard/arrayfire-python

a3 = 10 * af.randu(5,5,3)

dx,dy = af.gradient(a)
af.display(dx)
af.display(dy)

af.display(af.resize(a, scale=0.5))
af.display(af.resize(a, odim0=8, odim1=8))

t = af.randu(3,2)
af.display(af.transform(a, t))
af.display(af.rotate(a, 3.14))
af.display(af.translate(a, 1, 1))
af.display(af.scale(a, 1.2, 1.2, 7, 7))
af.display(af.skew(a, 0.02, 0.02))
h = af.histogram(a, 3)
af.display(h)
af.display(af.hist_equal(a, h))

af.display(af.dilate(a))
af.display(af.erode(a))

af.display(af.dilate3(a3))
af.display(af.erode3(a3))

af.display(af.bilateral(a, 1, 2))
af.display(af.mean_shift(a, 1, 2, 3))

af.display(af.medfilt(a))
af.display(af.minfilt(a))
af.display(af.maxfilt(a))

Esempio n. 5

File: image.py Progetto: arrayfire/arrayfire-python

def simple_image(verbose = False):
    display_func = _util.display_func(verbose)
    print_func   = _util.print_func(verbose)

    a = 10 * af.randu(6, 6)
    a3 = 10 * af.randu(5,5,3)

    dx,dy = af.gradient(a)
    display_func(dx)
    display_func(dy)

    display_func(af.resize(a, scale=0.5))
    display_func(af.resize(a, odim0=8, odim1=8))

    t = af.randu(3,2)
    display_func(af.transform(a, t))
    display_func(af.rotate(a, 3.14))
    display_func(af.translate(a, 1, 1))
    display_func(af.scale(a, 1.2, 1.2, 7, 7))
    display_func(af.skew(a, 0.02, 0.02))
    h = af.histogram(a, 3)
    display_func(h)
    display_func(af.hist_equal(a, h))

    display_func(af.dilate(a))
    display_func(af.erode(a))

    display_func(af.dilate3(a3))
    display_func(af.erode3(a3))

    display_func(af.bilateral(a, 1, 2))
    display_func(af.mean_shift(a, 1, 2, 3))

    display_func(af.medfilt(a))
    display_func(af.minfilt(a))
    display_func(af.maxfilt(a))

    display_func(af.regions(af.round(a) > 3))

    dx,dy = af.sobel_derivatives(a)
    display_func(dx)
    display_func(dy)
    display_func(af.sobel_filter(a))
    display_func(af.gaussian_kernel(3, 3))
    display_func(af.gaussian_kernel(3, 3, 1, 1))

    ac = af.gray2rgb(a)
    display_func(ac)
    display_func(af.rgb2gray(ac))
    ah = af.rgb2hsv(ac)
    display_func(ah)
    display_func(af.hsv2rgb(ah))

    display_func(af.color_space(a, af.CSPACE.RGB, af.CSPACE.GRAY))

    a = af.randu(6,6)
    b = af.unwrap(a, 2, 2, 2, 2)
    c = af.wrap(b, 6, 6, 2, 2, 2, 2)
    display_func(a)
    display_func(b)
    display_func(c)
    display_func(af.sat(a))

    a = af.randu(10,10,3)
    display_func(af.rgb2ycbcr(a))
    display_func(af.ycbcr2rgb(a))

    a = af.randu(10, 10)
    b = af.canny(a, low_threshold = 0.2, high_threshold = 0.8)

    display_func(af.anisotropic_diffusion(a, 0.125, 1.0, 64, af.FLUX.QUADRATIC, af.DIFFUSION.GRAD))

Esempio n. 6

File: histogram.py Progetto: Brainiarc7/arrayfire-python

# The complete license agreement can be obtained at:
# http://arrayfire.com/licenses/BSD-3-Clause
########################################################

import arrayfire as af
import sys
import os

if __name__ == "__main__":

    if (len(sys.argv) == 1):
        raise RuntimeError("Expected to the image as the first argument")

    if not os.path.isfile(sys.argv[1]):
        raise RuntimeError("File %s not found" % sys.argv[1])

    if (len(sys.argv) >  2):
        af.set_device(int(sys.argv[2]))

    af.info()

    hist_win = af.Window(512, 512, "3D Plot example using ArrayFire")
    img_win  = af.Window(480, 640, "Input Image")

    img = af.load_image(sys.argv[1]).as_type(af.Dtype.u8)
    hist = af.histogram(img, 256, 0, 255)

    while (not hist_win.close()) and (not img_win.close()):
        hist_win.hist(hist, 0, 255)
        img_win.image(img)

Esempio n. 7

def simple_image(verbose=False):
    display_func = _util.display_func(verbose)
    print_func = _util.print_func(verbose)

    a = 10 * af.randu(6, 6)
    a3 = 10 * af.randu(5, 5, 3)

    dx, dy = af.gradient(a)
    display_func(dx)
    display_func(dy)

    display_func(af.resize(a, scale=0.5))
    display_func(af.resize(a, odim0=8, odim1=8))

    t = af.randu(3, 2)
    display_func(af.transform(a, t))
    display_func(af.rotate(a, 3.14))
    display_func(af.translate(a, 1, 1))
    display_func(af.scale(a, 1.2, 1.2, 7, 7))
    display_func(af.skew(a, 0.02, 0.02))
    h = af.histogram(a, 3)
    display_func(h)
    display_func(af.hist_equal(a, h))

    display_func(af.dilate(a))
    display_func(af.erode(a))

    display_func(af.dilate3(a3))
    display_func(af.erode3(a3))

    display_func(af.bilateral(a, 1, 2))
    display_func(af.mean_shift(a, 1, 2, 3))

    display_func(af.medfilt(a))
    display_func(af.minfilt(a))
    display_func(af.maxfilt(a))

    display_func(af.regions(af.round(a) > 3))

    dx, dy = af.sobel_derivatives(a)
    display_func(dx)
    display_func(dy)
    display_func(af.sobel_filter(a))
    display_func(af.gaussian_kernel(3, 3))
    display_func(af.gaussian_kernel(3, 3, 1, 1))

    ac = af.gray2rgb(a)
    display_func(ac)
    display_func(af.rgb2gray(ac))
    ah = af.rgb2hsv(ac)
    display_func(ah)
    display_func(af.hsv2rgb(ah))

    display_func(af.color_space(a, af.CSPACE.RGB, af.CSPACE.GRAY))

    a = af.randu(6, 6)
    b = af.unwrap(a, 2, 2, 2, 2)
    c = af.wrap(b, 6, 6, 2, 2, 2, 2)
    display_func(a)
    display_func(b)
    display_func(c)
    display_func(af.sat(a))

    a = af.randu(10, 10, 3)
    display_func(af.rgb2ycbcr(a))
    display_func(af.ycbcr2rgb(a))

    a = af.randu(10, 10)
    b = af.canny(a, low_threshold=0.2, high_threshold=0.8)

    display_func(
        af.anisotropic_diffusion(a, 0.125, 1.0, 64, af.FLUX.QUADRATIC,
                                 af.DIFFUSION.GRAD))

Esempio n. 8

File: simple_image.py Progetto: maxssage/arrayfire-python

a3 = 10 * af.randu(5, 5, 3)

dx, dy = af.gradient(a)
af.display(dx)
af.display(dy)

af.display(af.resize(a, scale=0.5))
af.display(af.resize(a, odim0=8, odim1=8))

t = af.randu(3, 2)
af.display(af.transform(a, t))
af.display(af.rotate(a, 3.14))
af.display(af.translate(a, 1, 1))
af.display(af.scale(a, 1.2, 1.2, 7, 7))
af.display(af.skew(a, 0.02, 0.02))
h = af.histogram(a, 3)
af.display(h)
af.display(af.hist_equal(a, h))

af.display(af.dilate(a))
af.display(af.erode(a))

af.display(af.dilate3(a3))
af.display(af.erode3(a3))

af.display(af.bilateral(a, 1, 2))
af.display(af.mean_shift(a, 1, 2, 3))

af.display(af.medfilt(a))
af.display(af.minfilt(a))
af.display(af.maxfilt(a))

Esempio n. 9

def simple_image(verbose=False):
    display_func = _util.display_func(verbose)

    a = 10 * af.randu(6, 6)
    a3 = 10 * af.randu(5, 5, 3)

    dx, dy = af.gradient(a)
    display_func(dx)
    display_func(dy)

    display_func(af.resize(a, scale=0.5))
    display_func(af.resize(a, odim0=8, odim1=8))

    t = af.randu(3, 2)
    display_func(af.transform(a, t))
    display_func(af.rotate(a, 3.14))
    display_func(af.translate(a, 1, 1))
    display_func(af.scale(a, 1.2, 1.2, 7, 7))
    display_func(af.skew(a, 0.02, 0.02))
    h = af.histogram(a, 3)
    display_func(h)
    display_func(af.hist_equal(a, h))

    display_func(af.dilate(a))
    display_func(af.erode(a))

    display_func(af.dilate3(a3))
    display_func(af.erode3(a3))

    display_func(af.bilateral(a, 1, 2))
    display_func(af.mean_shift(a, 1, 2, 3))

    display_func(af.medfilt(a))
    display_func(af.minfilt(a))
    display_func(af.maxfilt(a))

    display_func(af.regions(af.round(a) > 3))
    display_func(
        af.confidenceCC(af.randu(10,
                                 10), (af.randu(2) * 9).as_type(af.Dtype.u32),
                        (af.randu(2) * 9).as_type(af.Dtype.u32), 3, 3, 10,
                        0.1))

    dx, dy = af.sobel_derivatives(a)
    display_func(dx)
    display_func(dy)
    display_func(af.sobel_filter(a))
    display_func(af.gaussian_kernel(3, 3))
    display_func(af.gaussian_kernel(3, 3, 1, 1))

    ac = af.gray2rgb(a)
    display_func(ac)
    display_func(af.rgb2gray(ac))
    ah = af.rgb2hsv(ac)
    display_func(ah)
    display_func(af.hsv2rgb(ah))

    display_func(af.color_space(a, af.CSPACE.RGB, af.CSPACE.GRAY))

    a = af.randu(6, 6)
    b = af.unwrap(a, 2, 2, 2, 2)
    c = af.wrap(b, 6, 6, 2, 2, 2, 2)
    display_func(a)
    display_func(b)
    display_func(c)
    display_func(af.sat(a))

    a = af.randu(10, 10, 3)
    display_func(af.rgb2ycbcr(a))
    display_func(af.ycbcr2rgb(a))

    a = af.randu(10, 10)
    b = af.canny(a, low_threshold=0.2, high_threshold=0.8)

    display_func(
        af.anisotropic_diffusion(a, 0.125, 1.0, 64, af.FLUX.QUADRATIC,
                                 af.DIFFUSION.GRAD))

    a = af.randu(10, 10)
    psf = af.gaussian_kernel(3, 3)
    cimg = af.convolve(a, psf)
    display_func(
        af.iterativeDeconv(cimg, psf, 100, 0.5, af.ITERATIVE_DECONV.LANDWEBER))
    display_func(
        af.iterativeDeconv(cimg, psf, 100, 0.5,
                           af.ITERATIVE_DECONV.RICHARDSONLUCY))
    display_func(af.inverseDeconv(cimg, psf, 1.0, af.INVERSE_DECONV.TIKHONOV))