def setMatrix(self, dimensions, values, floatEncoding='string'):
integers = bitDepthIsInteger(self.getAttribute('outBitDepth'))
values = Array(dimensions,
values,
integers,
floatEncoding=floatEncoding)
self._array = values
self.addElement(values)
def setArray(self, dimension, values, floatEncoding='string'):
dimensions = dimension
dimensions.append(3)
integers = bitDepthIsInteger(self.getAttribute('outBitDepth'))
self._array = Array(dimensions,
values,
integers,
floatEncoding=floatEncoding)
self.addElement(self._array)
def readChild(self, element):
child = None
if element.tag == 'Array':
child = Array()
child.read(element)
integers = bitDepthIsInteger(self.getAttribute('outBitDepth'))
child.setValuesAreIntegers(integers)
self._array = child
return child
def setArray(self, dimension, values, floatEncoding='string'):
dimensions = [len(values) / dimension, dimension]
integers = bitDepthIsInteger(self.getAttribute('outBitDepth'))
rawHalfs = not (self.getAttribute('rawHalfs') in [None, False])
self._array = Array(dimensions,
values,
rawHalfs=rawHalfs,
integers=integers,
floatEncoding=floatEncoding)
self.addElement(self._array)
def readChild(self, element):
child = None
if element.tag == 'Array':
child = Array()
child.read(element)
integers = bitDepthIsInteger(self.getAttribute('outBitDepth'))
child.setValuesAreIntegers(integers)
self._array = child
elif element.tag == 'IndexMap':
child = IndexMap()
child.read(element)
self._indexMaps.append(child)
return child
def _createCachedProcess(self):
channels = 1
resolution = 65536
cacheValues = [0.0] * resolution
for i in range(resolution):
# Figure out which half value corresponds to the specific 16 bit integer value
sample = uint16ToHalf(i)
# Apply the function to the sample value
# Should take the channel as input, or process an RGB triple
fvalue = self._processRaw(sample)
# Store the values
for c in range(channels):
cacheIndex = i * channels + c
cacheValues[cacheIndex] = fvalue
#print( "%d, %d, %d: %f -> %f" % (i, c, lutValueIndex, sample, fvalue))
dimensions = [len(cacheValues), channels]
self._processCached = Array(dimensions, cacheValues)