def low_pass(cls, xco, yco=None, size=(64, 64)):
"""
Create a low pass filter of given size.
:param xco: x cutoff
(int) horizontal cutoff frequency
(list) provide a list of three cut off frequencies
to create a 3 channel filter
:param yco: y cutoff
(int) vertical cutoff frequency
(list) provide a list of three cutoff frequencies
to create a 3 channel filter
:param size: size of the filter (width, height)
:return: DFT filter
"""
if isinstance(xco, list):
if len(xco) != 3 and len(xco) != 1:
warnings.warn("xco list must be of size 3 or 1")
return None
if isinstance(yco, list):
if len(yco) != 3 and len(yco) != 1:
warnings.warn("yco list must be of size 3 or 1")
return None
if len(yco) == 1:
yco = [yco[0]] * len(xco)
else:
yco = [yco] * len(xco)
stacked_filter = DFT()
for xfreq, yfreq in zip(xco, yco):
stacked_filter = stacked_filter._stack_filters(cls.low_pass(
xfreq, yfreq, size))
image = PhloxAR.core.image.Image(stacked_filter._narray)
ret = DFT(narray=stacked_filter._narray, image=image,
xco_low=xco, yco_low=yco, channels=len(xco), size=size,
type=stacked_filter._type, order=cls._order,
fpass=stacked_filter._fpass)
return ret
w, h = size
xco = np.clip(int(xco), 0, w / 2)
if yco is None:
yco = xco
yco = np.clip(int(yco), 0, h / 2)
flt = np.zeros((w, h))
flt[0:xco, 0:yco] = 255
flt[0:xco, h - yco:h] = 255
flt[w - xco:w, 0:yco] = 255
flt[w - xco:w, h - yco:h] = 255
img = PhloxAR.core.image.Image(flt)
lowpass_filter = DFT(size=size, narray=flt, image=img, type="lowpass",
xco_low=xco, yco_low=yco, fpass="******")
return lowpass_filter
def band_pass(cls, xco_low, xco_high, yco_low=None, yco_high=None,
size=(64, 64)):
"""
Create a band filter of given size and order.
Creates a high pass filter of given size and order.
:param xco_low: (int) horizontal cutoff frequency
(list) provide a list of three cut off frequencies
to create a 3 channel filter
:param yco: (int) vertical cutoff frequency
(list) provide a list of three cutoff frequencies
to create a 3 channel filter
:param size: size of the filter (width, height)
:return: DFT filter
"""
lowpass = cls.low_pass(xco_low, yco_low, size)
highpass = cls.high_pass(xco_high, yco_high, size)
lowpassnumpy = lowpass.narray
highpassnumpy = highpass.narray
bandpassnumpy = lowpassnumpy + highpassnumpy
bandpassnumpy = np.clip(bandpassnumpy, 0, 255)
img = PhloxAR.core.image.Image(bandpassnumpy)
bandpass = DFT(size=size, image=img, narray=bandpassnumpy,
type="bandpass", xco_low=xco_low, yco_low=yco_low,
xco_high=xco_high, yco_high=yco_high, fpass="******",
channels=lowpass.channels)
return bandpass