def gettingRaw(filename, filenameT, plate, well):
global FEATURE_NUMBER
print "images loading : plate = "+plate+",well = "+well
tabF = None
frameLotC = imp.importRawSegFromHDF5(filename, plate, well)
tabF=imp.importFeaturesOnly(filename, plate, well)
if filenameT is not None:
print "training set loading : filename ="+filenameT
frameLotC.addTraining2(filename, filenameT)
print "current training set content :"
print frameLotC.statisticsTraining2()
return frameLotC, tabF
def gettingRaw(filename, filenameT, plate, well, secondary=False,name_primary_channel='primary__primary3', frames_to_skip=None,separating_function=None):
global FEATURE_NUMBER
print "images loading : plate = "+plate+",well = "+well
tabF = None
try:
frameLotC, tabF = imp.importRawSegFromHDF5(filename, plate, well, secondary=secondary, name_primary_channel=name_primary_channel, frames_to_skip=frames_to_skip,
separating_function=separating_function)
except ValueError:
sys.stderr.write( sys.exc_info()[1])
sys.stderr.write("File {} containing data for plate {}, well {} does not contain all necessary data".format(filename, plate, well))
return None, None
if filenameT is not None:
print "training set loading : filename ="+filenameT
frameLotC.addTraining2(filename, filenameT)
print "current training set content :"
print frameLotC.statisticsTraining2()
return frameLotC, tabF
