def main():
beatscriptFile = open(sys.argv[1], "r")
lines = beatscriptFile.readlines()
context = readContext(lines)
beatList = readBeatscript(lines, context)
blockList = coalesceBeats(beatList)
Features.initializeContextVars(context)
dataLines = []
for block in blockList:
dataLines.append(createDataLine(context, block))
context["BygoneBlocks"].append(block)
outputFile = open(sys.argv[2], "w")
for dataLine in dataLines:
outputFile.write(DELIMITER.join([str(x) for x in dataLine]) + "\n")
#outputFile.write(DELIMITER.join(dataLine) + "\n")
outputFile.close()
def main():
if len(sys.argv) < 2:
print("Usage: python ClassificationProcess.py <Beatscript-Filename>")
return 1
# Initialization and Training
classifiers, scaler = trainWithAllExamples(True)
cutClassifiers, cutScaler = trainWithAllExamples(False)
try:
beatscript_file = open(sys.argv[1], "r")
except IOError:
print("Error: The Beatscipt could not be opened.")
print("Usage: python ClassificationProcess.py <Beatscript-Filename>")
return 1
lines = beatscript_file.readlines()
context = readContext(lines)#
beatscript = readBeatscript(lines, context)
Features.initializeContextVars(context)
beatList = getBeatsBetweenFrames(beatscript, -1, 0)
current_frame = 0
lastBlock = beatList
context["BygoneBlocks"] = []
sys.stdout.write("Training finished." + "\n")
sys.stdout.flush()
# Get Distribution
dist = classifyForShot(lastBlock, context, classifiers, scaler)
cutBeforeThisClassification = classifyForCut(lastBlock, context, cutClassifiers,
cutScaler)
while True:
choice = raw_input("")
if choice == "e":
printListOfEntities(context)
elif choice == "t": # get the names of the target and the linetarget
determine_targets(context, lastBlock)
elif choice == "p": # print out the classification propabilities
pickle.dump(dist, sys.stdout)
elif choice == "c": # Print out, if we should cut at this point
blockList = []
decisions = []
for block in context["BygoneBlocks"]:
blockList.append(block)
decisions.append(block[0].shot)
blockList.append(lastBlock)
decisions.append(dist.index(max(dist)))
if cutBeforeThisClassification[0] < cutBeforeThisClassification[1]:
sys.stdout.write("yes\n")
else:
sys.stdout.write("no\n")
elif choice == "f": # check framenumber for a new block
new_frame = int(raw_input(""))
beatList = getBeatsBetweenFrames(beatscript, current_frame, new_frame)
current_frame = new_frame
if beatList :
context["BygoneBlocks"].append(lastBlock)
lastBlock = beatList
dist = classifyForShot(lastBlock, context, classifiers, scaler)
cutBeforeThisClassification = classifyForCut(lastBlock, context, cutClassifiers, cutScaler)
sys.stdout.write("yes\n")
else:
sys.stdout.write("no\n")
elif choice == "d": # recieve the decision for the lastBlock
decision = int(raw_input(""))
for beat in lastBlock:
beat.shot = decision
sys.stdout.write("decision recieved\n")
elif choice == "q": # quit...
sys.stdout.write("exiting...\n")
sys.stdout.flush()
break
else:
sys.stdout.write("You didn't enter something useful.\n")
sys.stdout.flush()