def setParameter(self, name, index, value):
"""Set the value of a parameter."""
if name == "SVDSampleCount":
self._SVDSampleCount = value
elif name == "logPath":
self._logPath = value
else:
PyRegion.setParameter(self, name, index, value)
def setParameter(self, name, index, value):
"""Set the value of a parameter."""
if name == "SVDSampleCount":
self._SVDSampleCount = value
elif name == "logPath":
self._logPath = value
else:
PyRegion.setParameter(self, name, index, value)
def getParameter(self, name, index=-1):
"""
Get the value of the parameter.
@param name -- the name of the parameter to retrieve, as defined
by the Node Spec.
"""
# If any spec parameter name is the same as an attribute, this call
# will get it automatically, e.g. self.learningMode
return PyRegion.getParameter(self, name, index)
def getParameter(self, name, index=-1):
"""
Get the value of the parameter.
@param name -- the name of the parameter to retrieve, as defined
by the Node Spec.
"""
# If any spec parameter name is the same as an attribute, this call
# will get it automatically, e.g. self.learningMode
return PyRegion.getParameter(self, name, index)
def __init__(self, columnCount, inputWidth, poolerType, **kwargs):
if columnCount <= 0 or inputWidth <=0:
raise TypeError("Parameters columnCount and inputWidth must be > 0")
# Pull out the pooler arguments automatically
# These calls whittle down kwargs and create instance variables of PoolingRegion
self._poolerClass = _getPoolerClass(poolerType)
pArgTuples = _buildArgs(self._poolerClass, self, kwargs)
# Make a list of automatic pooler arg names for later use
self._poolerArgNames = [t[0] for t in pArgTuples]
PyRegion.__init__(self, **kwargs)
# Defaults for all other parameters
self.learningMode = True
self._inputWidth = inputWidth
self._columnCount = columnCount
# pooler instance
self._pooler = None
def __init__(self, columnCount, inputWidth, poolerType, **kwargs):
if columnCount <= 0 or inputWidth <= 0:
raise TypeError(
"Parameters columnCount and inputWidth must be > 0")
# Pull out the pooler arguments automatically
# These calls whittle down kwargs and create instance variables of PoolingRegion
self._poolerClass = _getPoolerClass(poolerType)
pArgTuples = _buildArgs(self._poolerClass, self, kwargs)
# Make a list of automatic pooler arg names for later use
self._poolerArgNames = [t[0] for t in pArgTuples]
PyRegion.__init__(self, **kwargs)
# Defaults for all other parameters
self.learningMode = True
self._inputWidth = inputWidth
self._columnCount = columnCount
# pooler instance
self._pooler = None
def setParameter(self, name, index, value):
"""
Set the value of the parameter.
@param name -- the name of the parameter to update, as defined
by the Node Spec.
@param value -- the value to which the parameter is to be set.
"""
if name == "learningMode":
self.learningMode = bool(int(value))
elif name == "inferenceMode":
self.inferenceMode = bool(int(value))
else:
return PyRegion.setParameter(self, name, index, value)
def setParameter(self, name, index, value):
"""
Set the value of the parameter.
@param name -- the name of the parameter to update, as defined
by the Node Spec.
@param value -- the value to which the parameter is to be set.
"""
if name == "learningMode":
self.learningMode = bool(int(value))
elif name == "inferenceMode":
self.inferenceMode = bool(int(value))
else:
return PyRegion.setParameter(self, name, index, value)
def getParameter(self, name, index=-1):
"""
Get the value of a parameter.
Note: this method may be overridden by derived classes, but if so, then
the derived class should invoke this base method if 'name'
is unknown to the derived class.
@param name -- the name of the parameter to retrieve, as defined
by the Node Spec.
"""
if name == "SVDSampleCount":
return self._SVDSampleCount
elif name == "SVDDimCount":
return self._SVDDimCount
elif name == "fractionOfMax":
return self._fractionOfMax
elif name == "trainingSampleCount":
return self.gettrainingSampleCount()
else:
# If any spec parameter name is the same as an attribute, this call
# will get it automatically, e.g. self.learningMode
return PyRegion.getParameter(self, name, index)
def getParameter(self, name, index=-1):
"""
Get the value of a parameter.
Note: this method may be overridden by derived classes, but if so, then
the derived class should invoke this base method if 'name'
is unknown to the derived class.
@param name -- the name of the parameter to retrieve, as defined
by the Node Spec.
"""
if name == "SVDSampleCount":
return self._SVDSampleCount
elif name == "SVDDimCount":
return self._SVDDimCount
elif name == "fractionOfMax":
return self._fractionOfMax
elif name == "trainingSampleCount":
return self.gettrainingSampleCount()
else:
# If any spec parameter name is the same as an attribute, this call
# will get it automatically, e.g. self.learningMode
return PyRegion.getParameter(self, name, index)
def getParameter(self, parameterName, nodeSet=""):
if parameterName == 'numCategories':
return len(self._categories)
elif parameterName == 'categoryList':
return self._categories
elif parameterName == "numBlockPresentations":
# Compute total number of block presentations
edgeLen = 2 * self.radialLength + 1
return 0 if self.mode != "block" else len(self._categories) * edgeLen * edgeLen
elif parameterName == 'outputImage':
if self._canvas is None:
return '' # Can't just do "return" because it shows up as "None"!
outputArray = self._canvas.astype(numpy.uint8) * 255
outputArray = outputArray.reshape((self.height, self.width))
outputImage = Image.fromarray(outputArray)
return serializeImage(outputImage)
elif parameterName == 'locationImage':
if self._fullImage is None:
return '' # Can't just do "return" because it shows up as "None"!
return serializeImage(self._createLocationImage())
elif parameterName == 'metadata':
return str(self._lastMetadata)
else:
return PyRegion.getParameter(self, parameterName, nodeSet)
def _init(self,
# Outputs
dataOut=None,
categoryOut=None,
resetOut=None,
distanceOut=None,
# Generic parameters
width=256, height=256,
logPrefix='',
replayMode=False,
configPath=None,
emitResets=True,
seed=42,
# Controls pattern generation
mode="random",
sequenceLength=32,
minThickness=1, maxThickness=4,
minPatternSize=32, maxPatternSize=128,
minVelocity=1, maxVelocity=3,
minAngularPosn=0.0, maxAngularPosn=0.0,
minAngularVelocity=0.0, maxAngularVelocity=0.0,
lockCategories=False,
numRepetitions=1,
noiseLevel=0.0,
noiseWhere='fb',
noiseThickness=1,
radialLength=8,
radialStep=1,
spaceShape=None,
spreadShape=None,
stepSize=1,
sweepOffMode=False,
cropToBox=True,
maxOffset=-1,
**kwargs):
"""
@param width: Specifies the width, in pixels, of each image that is to
be generated.
@param height: Specifies the height, in pixels, of each image that is
to be generated.
@param logPrefix: Specifies the prefix to use for logging images (including
directory(s) if desired); if evaluates to boolean False, then
no logging of generated images will be performed.
@param replayMode: If True (and if logPrefix is non-None), then logPrefix will
be treated as specifying the prefix of files to read from
and inject into the network, instead of the default
behavior of logging.
@param configPath: the PicturesGenerator configuration path to use for
non-novel categories; if None (the default), then use
the default PicturesGenerator configuration file.
@param emitResets: If True (default) sets the 'resetOut' output on the first
pattern of each sequence and clears it for all subsequent
patterns in the sequence. If False, then never sets the
'resetOut' output.
@param seed: Integer specifying a value to be used for seeding the pseudo
random number generated used (exclusively) by PictureSensor
as a source of randomness; the same value is used for seeding
each explorer's private/internal PRNG.
@param mode: Controls the translational positioning of generated patterns;
selects a named explorer that is expected to be found and
loaded from the explorer plugin directory.
@param sequenceLength: Specifies the number presentations that is to constitute
a single sequence (which will typically include a 'reset' signal
at the beginning.)
@param minThickness, maxThickness: Controls the range (in pixels) of line thickness;
Each generated image will be rendered with a fixed line thickness,
which will be chosen randomly from within the specified range.
@param minPatternSize, maxPatternSize: Controls the size (in pixels) of each
generated pattern (or "object"); in general, this may be either
larger or smaller than the (width, height) of the output image.
Currently, there exists a single generative parameter (pattern size)
which forces all generated patterns to be drawn within a
square drawing zone (although the category's specific
aspect ratio will then further reduce this drawing zone and
allow for non-square patterns.)
@param minVelocity, maxVelocity: Controls the range (in pixels/iteration) of
sweep velocity (for those explorers that support the concept
of sweeps, such as "random"). Each sequence will be
initialized with a velocity chosen from this range. The
velocity applies to both horizontal and vertical motion.
@param minAngularPosn, maxAngularPosn: Controls the range (in degrees) in
which patterns are initially rotated at the beginning of
each sequence, where a value of 0 implies no rotation with
respect to the raw pattern produced by PictureGenerator.
@param minAngularVelocity, maxAngularVelocity: Controls the range (in
degrees/iteration) in which patterns will rotate throughout
the course of a sequence.
@param lockCategories: a boolean which if True forces a single instance of
each category to be used, as opposed to randomly generating
new instances (specimens) of a category for each sequence.
@param numRepetitions: the number of times that each sequence should be
repeated verbatim; the convention is that a value of 1
will correspond to a single presentation of each unique
sequence (e.g., ABCDE), a value of 2 will correspond to
a pair of identical sequences (AABBCCDDEE), etc.
@param noiseLevel: specifies the probability of flipping each bit in order
to simulate shot noise on the output images.
@param noiseThickness: Specifies the thickness (in number of pixels) of bit flips.
For example, noiseThickness = 2 means that blocks of 2x2 pixels are
flipped when adding noise to an image.
@param noiseWhere: where to apply noise, can be 'f' (foreground), 'b' (background),
or 'fb' (foreground and background)
@param radialLength: The number of presentations per radial (minus one).
@param radialStep: The number of pixels to advance per radial presentation.
Thus, the total "length" (in pixels) of a radial in
image space is 1 + radialLength * radialStep
@param spaceShape: The (height, width) of the 2-D space to explore for the
blockSpread explorer. This sets the number of center-points
@param spreadShape: The (height, width) of the area around each center
point to explore for the blockSpread explorer.
@param stepSize: The step size in pixels. This controls the spacing of
both the spaceShape points and the spreadShape points
@param sweepOffMode: If True, causes the position of objects within random
sweep sequences (i.e., sequences generated in mode 'random')
to sweep off the edge of the canvas; if False (default),
objects will "bounce" off the edge of the image.
@param cropToBox: If True, generated pattern is cropped to its bounding
box before being centered.
@param maxOffset: If set, the object won't be shifted more than this many
pixels from center. Only has an effect when mode=='random'.
"""
PyRegion.__init__(self, **kwargs)
# Make sure dataOut is correct size for the canvas
reqdDataOut = height * width
if dataOut is not None:
if hasattr(dataOut, '__iter__'):
# dataOut is a 2- or 3-dimensional vector (3 if coming from the VF)
# Compute the product
lenDataOut = reduce(lambda x, y: x*y, dataOut)
else:
lenDataOut = dataOut
if lenDataOut != reqdDataOut:
raise RuntimeError("The 'dataOut' output element count must be equal"
" to height (%d) * width (%d), or %d" \
% (height, width, reqdDataOut))
if categoryOut is not None and categoryOut and categoryOut != 1:
raise RuntimeError("The 'categoryOut' output element count must be 1.")
if resetOut is not None and resetOut and resetOut != 1:
raise RuntimeError("The 'resetOut' output element count must be 1.")
if distanceOut is not None and distanceOut and distanceOut != 1:
raise RuntimeError("The 'distanceOut' output element count must be 1.")
# If running in replay mode, must have a valid logPrefix
if replayMode and not logPrefix:
raise RuntimeError("Replay mode requires a valid logPrefix be specified.")
self.width = width
self.height = height
self.sequenceLength = sequenceLength
self.minThickness = minThickness
self.maxThickness = maxThickness
self.minPatternSize = minPatternSize
self.maxPatternSize = maxPatternSize
self.minVelocity = minVelocity
self.maxVelocity = maxVelocity
self.minAngularPosn = minAngularPosn
self.maxAngularPosn = maxAngularPosn
self.minAngularVelocity = minAngularVelocity
self.maxAngularVelocity = maxAngularVelocity
self.noiseLevel = noiseLevel
self.noiseWhere = noiseWhere
self.noiseThickness = noiseThickness
self.mode = mode
self.radialLength = radialLength
self.radialStep = radialStep
self.spaceShape = spaceShape
self.spreadShape = spreadShape
self.stepSize = stepSize
self.lockCategories = lockCategories
self.numRepetitions = numRepetitions
self.logPrefix = logPrefix
self.replayMode = replayMode
self.seed = seed
self.configPath = configPath
self.emitResets = emitResets
self.sweepOffMode = sweepOffMode
self.cropToBox = cropToBox
self.maxOffset = maxOffset
self.lockedCatMap = {}
# Internal state
self._initEphemerals()