def loadFile(self, fileName=None, startDir=None):
"""load a new prototxt file"""
if fileName is None:
if startDir is None:
startDir = self.filePath
if startDir is None:
startDir = '.'
self.fileDialog = FileDialog(None, "Load Flowchart..", startDir, "Protobuf (*.prototxt)")
self.fileDialog.show()
self.fileDialog.fileSelected.connect(self.loadFile)
return
fileName = unicode(fileName)
self.clear()
self.proto = parsePrototxt(fileName, 'net')
self.layerList = self.proto.layer
self.setupNodes()
self.sigFileLoaded.emit(fileName)
def __init__(self, prototxt=None, weights=None):
"""
A flowchart that enables visualizing, editing, and running a caffe neural network model
:param prototxt: string
Optional path to a caffe prototxt file, which will be used as the initial model for the network
:param weights: string
Optional path to a caffe caffemodel file, which will be used as the initial weights for the network
"""
self.nodeList = []
self.displayNodes = {}
self.netNeedsUpdate = True
self.netNeedsEval = True
self.holdUpdateConnects = True
self.nextData = None
Flowchart.__init__(self, terminals={
'dataIn': {'io': 'in'},
'dataOut': {'io': 'out'}
})
if prototxt is None:
self.proto = NetProto()
self.layerList = self.proto.layer
self.plotList = {}
else:
self.proto = parsePrototxt(prototxt, 'net')
self.layerList = self.proto.layer
# for old proto format
if len(self.layerList) == 0:
self.layerList = self.proto.layers
self.weights = weights
for proto in self.layerList:
print proto
self.setupNodes()
fcw = self.widget().chartWidget
fcw.viewDock.sizePolicy().setHorizontalPolicy(QtGui.QSizePolicy.Maximum)
fcw.moveDock(fcw.hoverDock, 'bottom', fcw.viewDock)
fcw.moveDock(fcw.selDock, 'right', fcw.hoverDock)
def setProto(self, proto):
self.proto = parsePrototxt(proto, 'solver')
self.updateParamList(self.proto)