def frequency_filter_images(self):
r"""
"""
filter_images = []
for fft_padded_filter in self.fft_padded_filters:
spatial_filter = np.real(ifft2(fft_padded_filter))
spatial_filter = crop(spatial_filter,
self.patch_shape)[:, ::-1, ::-1]
frequency_filter = np.abs(fftshift(fft2(spatial_filter)))
filter_images.append(Image(frequency_filter))
return filter_images
def frequency_filter_images(self):
r"""
"""
filter_images = []
for fft_padded_filter in self.fft_padded_filters:
spatial_filter = np.real(ifft2(fft_padded_filter))
spatial_filter = crop(spatial_filter,
self.patch_shape)[:, ::-1, ::-1]
frequency_filter = np.abs(fftshift(fft2(spatial_filter)))
filter_images.append(Image(frequency_filter))
return filter_images
def frequency_filter_images(self):
r"""
Returns a `list` of `n_experts` filter images on the frequency domain.
:type: `list` of `menpo.image.Image`
"""
filter_images = []
for fft_padded_filter in self.fft_padded_filters:
spatial_filter = np.real(ifft2(fft_padded_filter))
spatial_filter = crop(spatial_filter,
self.patch_shape)[:, ::-1, ::-1]
frequency_filter = np.abs(fftshift(fft2(spatial_filter)))
filter_images.append(Image(frequency_filter))
return filter_images
def frequency_filter_images(self):
r"""
Returns a `list` of `n_experts` filter images on the frequency domain.
:type: `list` of `menpo.image.Image`
"""
filter_images = []
for fft_padded_filter in self.fft_padded_filters:
spatial_filter = np.real(ifft2(fft_padded_filter))
spatial_filter = crop(spatial_filter,
self.patch_shape)[:, ::-1, ::-1]
frequency_filter = np.abs(fftshift(fft2(spatial_filter)))
filter_images.append(Image(frequency_filter))
return filter_images
