Python np2cv Examples

Example #1

File: dimreduce_display.py Project: Calm-wy/kwc-ros-pkg

def reconstruct_input(nparray):
    #split
    npbig = nparray[0:675].A
    npsmall = nparray[675:].A

    #reshape
    npbig_rs = npbig.reshape((15, 15, 3))
    npsml_rs = npsmall.reshape((3, 3, 3))

    #convert to cv
    img = ut.np2cv(npbig_rs.astype(np.uint8))
    context = ut.np2cv(npsml_rs.astype(np.uint8))
    return img, context

Example #2

File: dimreduce_display.py Project: gt-ros-pkg/hrl

def reconstruct_input(nparray):
    #split
    npbig   = nparray[0:675].A
    npsmall = nparray[675:].A

    #reshape
    npbig_rs = npbig.reshape((15,15,3))
    npsml_rs = npsmall.reshape((3,3,3))

    #convert to cv
    img     = ut.np2cv(npbig_rs.astype(np.uint8))
    context = ut.np2cv(npsml_rs.astype(np.uint8))
    return img, context

Example #3

File: texture_features.py Project: rll/berkeley_demos

def visualize(eigens):
    l1 = eigens[:, :, 0]
    l2 = eigens[:, :, 1]
    m1 = np.min(l1)
    m2 = np.min(l2)
    r1 = np.max(l1) - m1
    r2 = np.max(l2) - m2
    if r1 == 0:
        r1 = 1
    if r2 == 0:
        r2 = 1
    l1cv = ut.np2cv(np.array((1 - ((l1 - m1) / r1)) * 255, dtype="uint8"))
    l2cv = ut.np2cv(np.array((1 - ((l2 - m2) / r2)) * 255, dtype="uint8"))
    hg.cvNamedWindow("eigen value 1", 1)
    hg.cvNamedWindow("eigen value 2", 1)
    hg.cvShowImage("eigen value 1", l1cv)
    hg.cvShowImage("eigen value 2", l2cv)
    while True:
        k = hg.cvWaitKey(33)
        if k == " ":
            return
        if k == "x":
            exit()

Example #4

File: texture_features.py Project: wklharry/hrl

def visualize(eigens):
    l1 = eigens[:, :, 0]
    l2 = eigens[:, :, 1]
    m1 = np.min(l1)
    m2 = np.min(l2)
    r1 = np.max(l1) - m1
    r2 = np.max(l2) - m2
    if r1 == 0:
        r1 = 1
    if r2 == 0:
        r2 = 1
    l1cv = ut.np2cv(np.array((1 - ((l1 - m1) / r1)) * 255, dtype='uint8'))
    l2cv = ut.np2cv(np.array((1 - ((l2 - m2) / r2)) * 255, dtype='uint8'))
    hg.cvNamedWindow('eigen value 1', 1)
    hg.cvNamedWindow('eigen value 2', 1)
    hg.cvShowImage('eigen value 1', l1cv)
    hg.cvShowImage('eigen value 2', l2cv)
    while True:
        k = hg.cvWaitKey(33)
        if k == ' ':
            return
        if k == 'x':
            exit()