def runWithoutWndchrm(self):
print "Loading the classifier"
classifier = data_io.load_model()
imageCollections = data_io.get_valid_df()
featureGetter = FeatureGetter()
print "Getting the features"
fileName = data_io.get_savez_name_test()
if not self.load: #Last features calculated from candidates
(namesObservations, coordinates,
valid) = Utils.calculateFeatures(fileName, featureGetter,
imageCollections)
else:
(namesObservations, coordinates,
valid) = Utils.loadFeatures(fileName)
print "Making predictions"
#valid = normalize(valid, axis=0) #askdfhashdf
predictions = classifier.predict(valid)
predictions = predictions.reshape(len(predictions), 1)
print "Writing predictions to file"
data_io.write_submission(namesObservations, coordinates, predictions)
data_io.write_submission_nice(namesObservations, coordinates,
predictions)
print "Calculating final results"
return Predictor.finalResults(namesObservations, predictions,
coordinates)
def run(self):
print "Preparing the environment"
self.prepareEnvironment()
print "Loading the classifier"
classifier = data_io.load_model()
imageCollections = data_io.get_valid_df()
featureGetter = FeatureGetter()
wndchrmWorker = WndchrmWorkerPredict()
print "Getting the features"
if not self.loadWndchrm: #Last wndchrm set of features
fileName = data_io.get_savez_name_test()
if not self.load: #Last features calculated from candidates
(namesObservations, coordinates,
_) = Utils.calculateFeatures(fileName, featureGetter,
imageCollections)
else:
(namesObservations, coordinates,
_) = Utils.loadFeatures(fileName)
print "Saving images"
imageSaver = ImageSaver(coordinates, namesObservations,
imageCollections, featureGetter.patchSize)
imageSaver.saveImages()
print "Executing wndchrm algorithm"
valid = wndchrmWorker.executeWndchrm(namesObservations)
else:
(valid, namesObservations) = wndchrmWorker.loadWndchrmFeatures()
print "Making predictions"
predictions = classifier.predict(valid)
predictions = predictions.reshape(len(predictions), 1)
print "Writing predictions to file"
data_io.write_submission(namesObservations, coordinates, predictions)
data_io.write_submission_nice(namesObservations, coordinates,
predictions)
print "Calculating final results"
return Predictor.finalResults(namesObservations, predictions,
coordinates)
