print dataPath
print modelPath
print participantList
print '-------------------'
# Creates and opens ports for interaction with speech module
if yarpRunning:
yarp.Network.init()
inputInteractionPort = yarp.BufferedPortBottle()
inputInteractionPort.open("/sam/face/interaction:i")
choice = yarp.Bottle()
# Creates a SAMpy object
mySAMpy = SAMDriver_interaction(True,
imgH=400,
imgW=400,
imgHNew=200,
imgWNew=200,
inputImagePort="/visionDriver/image:o")
# Specification of the experiment number
experiment_number = 1007 #42
# Location of face data
root_data_dir = dataPath
# Image format
image_suffix = ".ppm"
# Array of participants to be recognised
participant_index = participantList
# Poses used during the data collection
ratioData = modelPickle['percentTestData']
image_suffix = modelPickle['image_suffix']
model_type = modelPickle['model_type']
model_num_inducing = modelPickle['num_inducing']
model_init_iterations = modelPickle['model_init_iterations']
model_num_iterations = modelPickle['model_num_iterations']
kernelString = modelPickle['kernelString']
Q = modelPickle['Q']
economy_save = True
pose_index = ['']
pose_selection = 0
# # Creates a SAMpy object
mySAMpy = SAMDriver_interaction(False,
imgH=imgH,
imgW=imgW,
imgHNew=imgHNew,
imgWNew=imgWNew)
# # Reading face data, preparation of data and training of the model
mySAMpy.readData(dataPath, participantList, pose_index)
minImages = mySAMpy.Y.shape[1]
Ntr = int(minImages * ratioData / 100)
Ntest = minImages - Ntr
allPersonsY = mySAMpy.Y
allPersonsL = mySAMpy.L
for i in range(len(participantList)):
#print participantList[i]
# Creates and opens ports for interaction with speech module
if yarpRunning:
yarp.Network.init()
inputInteractionPort = yarp.Port()
inputInteractionPort.open("/sam/face/rpc:i")
inputBottle = yarp.Bottle()
outputBottle = yarp.Bottle()
imgHNew = 200
imgWNew = 200
# Creates a SAMpy object
mySAMpy = SAMDriver_interaction(True,
imgH=400,
imgW=400,
imgHNew=imgHNew,
imgWNew=imgWNew,
inputImagePort="/CLM/imageSeg/out")
# Specification of the experiment number
experiment_number = 1007 #42
# Location of face data
root_data_dir = dataPath
# Image format
image_suffix = ".ppm"
# Array of participants to be recognised
participant_index = participantList
# Poses used during the data collection
