def overlay(image, other, x, y, composite):
if not composite:
composite = composites.over
composite = enum_lookup(composite, composites)
c_call(image, 'composite', other, composite, x, y)
def map(image, lookup, interpolation): # @ReservedAssignment
if not interpolation:
interpolation = 'average'
interpolation = enum_lookup(interpolation, interpolations)
c_call(image, 'clut', lookup, interpolation)
def map(image, lookup, interpolation): # @ReservedAssignment
if not interpolation:
interpolation = 'average'
interpolation = enum_lookup(interpolation, interpolations)
c_call(image, 'clut', lookup, interpolation)
def overlay(image, other, x, y, composite):
if not composite:
composite = composites.over
composite = enum_lookup(composite, composites)
c_call(image, 'composite', other, composite, x, y)
def add_noise(image, attenuate, noise_type):
if not noise_type:
noise_type = 'gaussian'
noise_type = enum_lookup(noise_type, noises)
c_call(image, 'add_noise', noise_type, attenuate)
def add_noise(image, attenuate, noise_type):
if not noise_type:
noise_type = 'gaussian'
noise_type = enum_lookup(noise_type, noises)
c_call(image, 'add_noise', noise_type, attenuate)
def rescale(image, width, height, factor, filter, blur): # @ReservedAssignment
if not filter:
filter = filters.undefined # @ReservedAssignment
width, height = _proportionally(image, width, height)
if not width and not height:
if not factor:
msg = 'Either width, height or factor must be provided'
raise PystaciaException(msg)
width, height = image.size
if not hasattr(factor, '__getitem__'):
factor = (factor, factor)
width, height = width * factor[0], height * factor[1]
c_call(image, 'resize', width, height, enum_lookup(filter, filters), blur)
def compare(image, other, metric, factory):
if image.size != other.size:
return False
if not metric:
metric = metrics.absolute_error
metric = enum_lookup(metric, metrics)
if not factory:
factory = Image
distortion = c_double()
diff = c_call(image, ('compare', None, 'images'), other, metric,
byref(distortion))
return (factory(diff), distortion.value)
def compare(image, other, metric, factory):
if image.size != other.size:
return False
if not metric:
metric = metrics.absolute_error
metric = enum_lookup(metric, metrics)
if not factory:
factory = Image
distortion = c_double()
diff = c_call(image, ('compare', None, 'images'), other,
metric, byref(distortion))
return(factory(diff), distortion.value)
def evaluate(image, operation, value):
operation = enum_lookup(operation, operations)
c_call(image, 'evaluate', operation, value)
def convert_colorspace(image, colorspace):
colorspace = enum_lookup(colorspace, colorspaces)
c_call(image, ('transform', 'colorspace'), colorspace)
def _set_state(self, key, value, enum=None):
if enum:
value = enum_lookup(value, enum)
c_call(self, ('set', key), value)
def evaluate(image, operation, value):
operation = enum_lookup(operation, operations)
c_call(image, 'evaluate', operation, value)
def convert_colorspace(image, colorspace):
colorspace = enum_lookup(colorspace, colorspaces)
c_call(image, ('transform', 'colorspace'), colorspace)
def _set_state(self, key, value, enum=None):
if enum:
value = enum_lookup(value, enum)
c_call(self, ("set", key), value)