コード例 #1
0

def get_lowpass_mask(shape, radius=0.2, softness=0):
    radius = round(min(shape) * radius)
    window = np.kaiser(radius, softness)
    mask = get_mask(shape, window)
    return mask


@methods
def get_var(masked_spectrum, distance, wavelength, (dx, dy)):
    propagation_array = get_propagation_array(masked_spectrum.shape, distance,
                                              wavelength, (dx, dy))
    propagated = propagation_array * masked_spectrum
    reconstructed = get_shifted_idft(propagated)
    module = get_module(reconstructed)
    module_zone = get_best_contrast_zone(module)
    #    showimage(normalize(module_zone))
    fitness = module_zone.var()
    return fitness


@methods
def get_diff_var(masked_spectrum, distance, wavelength, (dx, dy)):
    fitness = get_var(masked_spectrum, distance, wavelength, (dx, dy))
    fitness -= get_var(masked_spectrum, -distance, wavelength, (dx, dy))
    return fitness


@methods
@cache.hybrid
コード例 #2
0
ファイル: pea.py プロジェクト: FacundoGFlores/golsoft
 def module(self):
     print("Module")
     return get_module(self.reconstructed)
コード例 #3
0
ファイル: pea.py プロジェクト: FacundoGFlores/golsoft
 def module(self):
     print("Module")
     return get_module(self.reconstructed)
コード例 #4
0
ファイル: autofocus.py プロジェクト: FacundoGFlores/golsoft

def get_lowpass_mask(shape, radius=0.2, softness=0):
    radius = round(min(shape) * radius)
    window = np.kaiser(radius, softness)
    mask = get_mask(shape, window)
    return mask


@methods
def get_var(masked_spectrum, distance, wavelength, (dx, dy)):
    propagation_array = get_propagation_array(masked_spectrum.shape,
        distance, wavelength, (dx, dy))
    propagated = propagation_array * masked_spectrum
    reconstructed = get_shifted_idft(propagated)
    module = get_module(reconstructed)
    module_zone = get_best_contrast_zone(module)
#    showimage(normalize(module_zone))
    fitness = module_zone.var()
    return fitness


@methods
def get_diff_var(masked_spectrum, distance, wavelength, (dx, dy)):
    fitness = get_var(masked_spectrum, distance, wavelength, (dx, dy))
    fitness -= get_var(masked_spectrum, -distance, wavelength, (dx, dy))
    return fitness


@methods
@cache.hybrid