forked from colour-science/colour
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clf.py
548 lines (420 loc) · 18.9 KB
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clf.py
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from __future__ import division, unicode_literals
import numpy as np
import re
from six import StringIO
from xml.etree import ElementTree
from xml.dom import minidom
from colour.constants import DEFAULT_FLOAT_DTYPE, DEFAULT_INT_DTYPE
from colour.io.luts import (AbstractLUTSequenceOperator, ASC_CDL, LUT1D, LUT2D,
LUT3D, LUTSequence, Matrix, Range)
from colour.utilities import as_float_array, as_numeric, tsplit, tstack
__all__ = [
'half_to_uint16', 'uint16_to_half', 'half_domain_lookup', 'HalfDomain1D',
'HalfDomain2D', 'read_index_map', 'string_to_array', 'simple_clf_parse',
'simple_clf_write'
]
def half_to_uint16(x):
x_half = np.copy(np.asarray(x)).astype(np.float16)
return np.frombuffer(
x_half.tobytes(), dtype=np.uint16).reshape(x_half.shape)
def uint16_to_half(y):
y_int = np.copy(np.asarray(y)).astype(np.uint16)
return as_numeric(
np.frombuffer(y_int.tobytes(), dtype=np.float16).reshape(
y_int.shape).astype(DEFAULT_FLOAT_DTYPE))
def half_domain_lookup(x, LUT, raw_halfs=True):
h0 = half_to_uint16(x) # nearest integer which codes for x
f0 = uint16_to_half(h0) # convert back to float
f1 = uint16_to_half(h0 - 1) # float value for preceding integer
# find h1 such that h0 and h1 code floats either side of x
h1 = np.where((x - f0) * (x - f1) > 0, h0 - 1, h0 + 1)
# ratio of position of x in the interval
f = (x - uint16_to_half(h1)) / (f0 - uint16_to_half(h1))
# get table entries either side of x
out0 = LUT[h0]
out1 = LUT[h1]
if raw_halfs: # convert table entries to float if necessary
out0 = uint16_to_half(out0)
out1 = uint16_to_half(out1)
# calculate linear interpolated value between table entries,
# or just the nearest table entry if the input value was an inf
return np.where(np.isinf(f0), out0, f * out0 + (1 - f) * out1)
class HalfDomain1D(AbstractLUTSequenceOperator):
def __init__(self, table=None, name='', comments=None, raw_halfs=False):
if table is not None:
self.table = table
else:
self.table = self.linear_table(raw_halfs=raw_halfs)
self.name = name
self.comments = comments
self.raw_halfs = raw_halfs
# TODO: Add properties.
def _validate_table(self, table):
table = np.asarray(table)
assert table.shape == (65536, ), 'The table must be 65536 lines!'
return table
@staticmethod
def linear_table(raw_halfs=False):
if raw_halfs:
return np.arange(65536, dtype='uint16')
else:
return uint16_to_half(np.arange(65536, dtype='uint16'))
def apply(self, RGB):
return half_domain_lookup(RGB, self.table, raw_halfs=self.raw_halfs)
class HalfDomain2D(AbstractLUTSequenceOperator):
def __init__(self, table=None, name='', comments=None, raw_halfs=False):
if table is not None:
self.table = table
else:
self.table = self.linear_table(raw_halfs=raw_halfs)
self.name = name
self.comments = comments
self.raw_halfs = raw_halfs
# TODO: Add properties.
def _validate_table(self, table):
table = np.asarray(table)
assert table.shape == (65536, 3), 'The table must be 65536 x 3!'
return table
@staticmethod
def linear_table(raw_halfs=False):
if raw_halfs:
samples = np.arange(65536, dtype='uint16')
return tstack([samples, samples, samples]).astype(np.uint16)
else:
samples = uint16_to_half(np.arange(65536, dtype='uint16'))
return tstack([samples, samples, samples])
def apply(self, RGB):
R, G, B = tsplit(as_float_array(RGB))
table_R, table_G, table_B = tsplit(self.table)
R = half_domain_lookup(R, table_R, raw_halfs=self.raw_halfs)
G = half_domain_lookup(G, table_G, raw_halfs=self.raw_halfs)
B = half_domain_lookup(B, table_B, raw_halfs=self.raw_halfs)
return tstack([R, G, B])
def read_index_map(index_map):
index_map = index_map.strip().split()
index_map = np.core.defchararray.partition(index_map, '@')
domain, at, table = np.hsplit(index_map, 3)
domain = domain.reshape(-1).astype(np.float)
table = table.reshape(-1).astype(np.float)
return LUT1D(table=table, domain=domain)
def string_to_array(string, dimensions=None):
assert dimensions is not None, (
'Dimensions must be set to dimensions of array!')
return np.fromstring(
string, count=dimensions[0] * dimensions[1],
sep=' ').reshape(dimensions)
def parse_array(array):
return np.array(array.strip().split()).astype(DEFAULT_FLOAT_DTYPE)
def ns_strip(s):
return re.sub('{.+}', '', s)
def add_LUT1D(LUT, node):
shaper, is_half_domain, is_raw_halfs = None, None, None
if 'halfDomain' in node.keys():
is_half_domain = bool(node.attrib['halfDomain'])
if 'rawHalfs' in node.keys():
is_raw_halfs = bool(node.attrib['rawHalfs'])
for child in node:
if child.tag.lower().endswith('indexmap'):
shaper = read_index_map(child.text)
if child.tag.lower().endswith('array'):
dimensions = child.attrib['dim']
rows = DEFAULT_INT_DTYPE(dimensions.split()[0])
columns = DEFAULT_INT_DTYPE(dimensions.split()[1])
array = string_to_array(child.text, dimensions=(rows, columns))
if columns == 1:
if is_half_domain:
LUT_1 = HalfDomain1D(
table=array.reshape(-1), raw_halfs=is_raw_halfs)
else:
LUT_1 = LUT1D(table=array.reshape(-1))
else:
if is_half_domain:
LUT_1 = HalfDomain2D(table=array, raw_halfs=is_raw_halfs)
else:
LUT_1 = LUT2D(table=array)
if shaper:
# Fully enumerated.
if np.all(shaper.table == np.arange(shaper.size)):
LUT_1.domain = shaper.domain
else:
if shaper.domain.shape == (2, ):
if columns == 1:
LUT_1.domain = shaper.domain
else:
LUT_1.domain = tstack([
shaper.domain,
shaper.domain,
shaper.domain,
])
else:
shaper.table /= np.max(shaper.table)
if 'name' in node.keys():
shaper.name = '{}_shaper'.format(node.attrib['name'])
LUT.append(shaper)
if 'name' in node.keys():
LUT_1.name = node.attrib['name']
LUT.append(LUT_1)
return LUT
def add_LUT3D(LUT, node):
shaper = None
for child in node:
tag = child.tag.lower()
if tag.endswith('indexmap'):
shaper = read_index_map(child.text)
shaper.table /= np.max(shaper.table)
elif child.tag.lower().endswith('array'):
dimensions = child.attrib['dim']
size_R = DEFAULT_INT_DTYPE(dimensions.split()[0])
size_G = DEFAULT_INT_DTYPE(dimensions.split()[1])
size_B = DEFAULT_INT_DTYPE(dimensions.split()[2])
length = size_R * size_G * size_B
channels = DEFAULT_INT_DTYPE(dimensions.split()[3])
array = string_to_array(child.text, dimensions=(length, channels))
array = array.reshape([size_R, size_G, size_B, 3], order='C')
LUT_1 = LUT3D(table=array)
if shaper:
if shaper.domain.shape[0] == 2:
LUT_1.domain = tstack([
shaper.domain,
shaper.domain,
shaper.domain,
])
else:
if 'name' in node.keys():
shaper.name = '{}_shaper'.format(node.attrib['name'])
LUT.append(shaper)
if 'name' in node.keys():
LUT_1.name = node.attrib['name']
LUT.append(LUT_1)
return LUT
def add_Range(LUT, node):
operator = Range()
if 'name' in node.keys():
operator.name = node.attrib['name']
if 'style' in node.keys():
style = node.attrib['style'].lower()
if style == 'noclamp':
operator.no_clamp = True
elif style == 'clamp':
operator.no_clamp = False
for child in node:
tag = child.tag.lower()
if tag.endswith('mininvalue'):
operator.min_in_value = float(child.text)
elif tag.endswith('maxinvalue'):
operator.max_in_value = float(child.text)
elif tag.endswith('minoutvalue'):
operator.min_out_value = float(child.text)
elif tag.endswith('maxoutvalue'):
operator.max_out_value = float(child.text)
LUT.append(operator)
return LUT
def add_Matrix(LUT, node):
operator = Matrix()
if 'name' in node.keys():
operator.name = node.attrib['name']
for child in node:
if child.tag.endswith('Array'):
dimensions = child.attrib['dim']
rows = DEFAULT_INT_DTYPE(dimensions.split()[0])
columns = DEFAULT_INT_DTYPE(dimensions.split()[1])
operator.array = string_to_array(
child.text, dimensions=(rows, columns))
LUT.append(operator)
return LUT
def add_ASC_CDL(LUT, node):
operator = ASC_CDL()
if 'name' in node.keys():
operator.name = node.attrib['name']
if 'style' in node.keys():
style = node.attrib['style'].lower()
if style == 'fwdnoclamp':
operator.clamp, operator.reverse = False, False
elif style == 'revnoclamp':
operator.clamp, operator.reverse = False, True
elif style == 'fwd':
operator.clamp, operator.reverse = True, False
elif style == 'reverse':
operator.clamp, operator.reverse = True, True
for child in node:
if child.tag.lower().endswith('sopnode'):
for grand_child in child:
tag = grand_child.tag.lower()
if tag.endswith('slope'):
operator.slope = parse_array(grand_child.text)
elif tag.endswith('offset'):
operator.offset = parse_array(grand_child.text)
elif tag.endswith('power'):
operator.power = parse_array(grand_child.text)
if child.tag.lower().endswith('satnode'):
for grand_child in child:
if grand_child.tag.lower().endswith('saturation'):
operator.saturation = float(grand_child.text)
LUT.append(operator)
return LUT
def simple_clf_parse(path):
LUT = LUTSequence()
tree = ElementTree.parse(path)
process_list = tree.getroot()
#if 'name' in process_list.keys():
#LUT.name = process_list.attrib['name']
for node in process_list:
tag = node.tag.lower()
#if node.tag.endswith('Description'):
#LUT.comments.append(node.text)
#if node.tag.endswith('InputDescriptor'):
#LUT.InputDescriptor = node.text
#if node.tag.endswith('OutputDescriptor'):
#LUT.OutputDescriptor = node.text
if tag.endswith('lut1d'):
LUT = add_LUT1D(LUT, node)
elif tag.endswith('lut3d'):
LUT = add_LUT3D(LUT, node)
elif tag.endswith('range'):
LUT = add_Range(LUT, node)
elif tag.endswith('matrix'):
LUT = add_Matrix(LUT, node)
elif tag.endswith('asc_cdl'):
LUT = add_ASC_CDL(LUT, node)
return LUT
def simple_clf_write(LUT, path, name='', id='', decimals=10):
def _format_array(array, decimals=10):
buffer = StringIO()
if not array.dtype == np.uint16:
np.savetxt(buffer, array, fmt=str('%.{}f'.format(decimals)))
else:
np.savetxt(buffer, array, fmt=str('%d'))
return ('\n' + buffer.getvalue()).replace('\n', '\n\t\t\t')[:-1]
def _format_row(array, decimals=10):
return '{1:0.{0}f} {2:0.{0}f} {3:0.{0}f}'.format(decimals, *array)
def _add_comments(node, comments):
for comment in comments:
d = ElementTree.SubElement(node, 'Description')
d.text = comment
process_list = ElementTree.Element('ProcessList')
process_list.set('xmlns', 'urn:NATAS:AMPAS:LUT:v2.0')
process_list.set('id', id)
process_list.set('name', name)
process_list.set('compCLFversion', '2.0')
for node in LUT:
if isinstance(node, ASC_CDL):
process_node = ElementTree.Element('ASC_CDL')
if node.comments:
_add_comments(process_node, node.comments)
if node.reverse and not node.clamp:
process_node.set('style', 'RevNoClamp')
if node.reverse and node.clamp:
process_node.set('style', 'Rev')
if not node.reverse and node.clamp:
process_node.set('style', 'FwdClamp')
if not node.reverse and not node.clamp:
process_node.set('style', 'FwdNoClamp')
sop_node = ElementTree.SubElement(process_node, 'SOPNode')
slope = ElementTree.SubElement(sop_node, 'Slope')
slope.text = _format_row(node.slope, decimals=decimals)
offset = ElementTree.SubElement(sop_node, 'Offset')
offset.text = _format_row(node.offset, decimals=decimals)
power = ElementTree.SubElement(sop_node, 'power')
power.text = _format_row(node.power, decimals=decimals)
sat_node = ElementTree.SubElement(process_node, 'SatNode')
saturation = ElementTree.SubElement(sat_node, 'Saturation')
saturation.text = '{1:0.{0}f}'.format(decimals, node.saturation)
if isinstance(node, HalfDomain1D):
process_node = ElementTree.Element('LUT1D')
process_node.set('halfDomain', 'True')
array = ElementTree.SubElement(process_node, 'Array')
array.set('dim', '65536 1')
if node.raw_halfs:
process_node.set('rawHalfs', 'True')
array.text = _format_array(node.table)
else:
array.text = _format_array(node.table, decimals=decimals)
if isinstance(node, HalfDomain2D):
process_node = ElementTree.Element('LUT1D')
process_node.set('halfDomain', 'True')
array = ElementTree.SubElement(process_node, 'Array')
array.set('dim', '65536 3')
if node.raw_halfs:
process_node.set('rawHalfs', 'True')
array.text = _format_array(node.table)
else:
array.text = _format_array(node.table, decimals=decimals)
if isinstance(node, LUT1D):
process_node = ElementTree.Element('LUT1D')
if not np.all(node.domain == np.array([0, 1])):
index_map = ElementTree.SubElement(process_node, 'IndexMap')
if node.domain.shape == (2, ):
index_map.set('dim', '2')
index_map.text = '{}@0 {}@{}'.format(
node.domain[0], node.domain[1], node.size - 1)
else:
index_text = ''
for i in range(len(node.domain)):
index_text = '{1} {2:0.{0}f}@{3}'.format(
decimals, index_text, node.domain[i],
int((node.size - 1) * node.table[i] / np.max(
node.table)))
index_map.text = index_text[1:]
if node.comments:
_add_comments(process_node, node.comments)
array = ElementTree.SubElement(process_node, 'Array')
array.set('dim', '{} 1'.format(node.size))
array.text = _format_array(node.table, decimals=decimals)
if isinstance(node, LUT2D):
process_node = ElementTree.Element('LUT1D')
if not np.all(node.domain == np.array([[0, 0, 0], [1, 1, 1]])):
index_map = ElementTree.SubElement(process_node, 'IndexMap')
index_map.set('dim', '2')
index_map.text = '{1:0.{0}f}@0 {2:0.{0}f}@{3}'.format(
decimals, node.domain[0][0], node.domain[1][0],
node.size - 1) # assuming consistent domain
if node.comments:
_add_comments(process_node, node.comments)
array = ElementTree.SubElement(process_node, 'Array')
array.set('dim', '{} 3'.format(node.size))
array.text = _format_array(node.table, decimals=decimals)
if isinstance(node, LUT3D):
process_node = ElementTree.Element('LUT3D')
if not np.all(node.domain == np.array([[0, 0, 0], [1, 1, 1]])):
index_map = ElementTree.SubElement(process_node, 'IndexMap')
index_map.set('dim', '2')
index_map.text = '{1:0.{0}f}@0 {2:0.{0}f}@{3}'.format(
decimals, node.domain[0][0], node.domain[1][0],
node.size - 1) # assuming consistent domain
if node.comments:
_add_comments(process_node, node.comments)
array = ElementTree.SubElement(process_node, 'Array')
array.set('dim', '{0} {0} {0} 3'.format(node.size))
array.text = _format_array(
node.table.reshape(-1, 3, order='C'), decimals=decimals)
if isinstance(node, Matrix):
process_node = ElementTree.Element('Matrix')
if node.comments:
_add_comments(process_node, node.comments)
array = ElementTree.SubElement(process_node, 'Array')
array.set('dim', '{} {} 3'.format(node.array.shape[0],
node.array.shape[1]))
array.text = _format_array(node.array, decimals=decimals)
if isinstance(node, Range):
process_node = ElementTree.Element('Range')
if node.comments:
_add_comments(process_node, node.comments)
min_in = ElementTree.SubElement(process_node, 'minInValue')
min_in.text = '{1:0.{0}f}'.format(decimals, node.min_in_value)
max_in = ElementTree.SubElement(process_node, 'maxInValue')
max_in.text = '{1:0.{0}f}'.format(decimals, node.max_in_value)
min_out = ElementTree.SubElement(process_node, 'minOutValue')
min_out.text = '{1:0.{0}f}'.format(decimals, node.min_out_value)
max_out = ElementTree.SubElement(process_node, 'maxOutValue')
max_out.text = '{1:0.{0}f}'.format(decimals, node.max_out_value)
if not node.no_clamp:
process_node.set('noClamp', 'False')
else:
process_node.set('noClamp', 'True')
process_node.set('inBitDepth', '16f')
process_node.set('outBitDepth', '16f')
process_node.set('name', node.name)
process_list.append(process_node)
xml_string = ElementTree.tostring(process_list, encoding='utf-8')
with open(path, 'w') as clf_file:
clf_file.write(minidom.parseString(xml_string).toprettyxml())