def analyze(inputFile):
f = open(file, 'r')
headers = f.readline()
headers = jm.getFileHeader(headers)
drops = []
extractor = AbstractLabanAnalyzer.getExtractor(inputFile)
jointsIndices = extractor.getJointsIndices(headers)
for line in f:
for i in jointsIndices:
lineInFloats=[float(v) for v in line.split()]
indexHead = headers.index('Head_Y')
indexSpine = headers.index('SpineShoulder_Y')
drops.append(lineInFloats[indexHead] - lineInFloats[indexSpine])
return np.diff(drops)
def analyze(inputFile):
extractor = AbstractLabanAnalyzer.getExtractor(inputFile)
analysis = AdvanceAndRetreate(extractor)
return analysis.extract(inputFile)
def analyze(inputFile):
extractor = AbstractLabanAnalyzer.getExtractor(inputFile)
analysis = SpreadindAndClosing(extractor)
return analysis.extract(inputFile)
def analyze(inputFile):
extractor = AbstractLabanAnalyzer.getExtractor(inputFile)
analysis = LightAndStrong(extractor)
return analysis.extract(inputFile)
def analyze(inputFile):
extractor = AbstractLabanAnalyzer.getExtractor(inputFile)
analysis = ExpendingCondencing(extractor)
return analysis.extract(inputFile)
def analyze(inputFile):
extractor = AbstractLabanAnalyzer.getExtractor(inputFile)
analysis = RiseAndSink(extractor)
return analysis.extract(inputFile)
ys = np.diff(ys)
zs = np.diff(zs)
# Make movement vectors
movements = zip(xs, ys, zs)
dircetness = []
if firstRun:
print "directness measurement", jointsHeaders[4 * i], len(vec)
for i in range(len(movements) - 1):
first = ae.getUnitVec(movements[i])
second = ae.getUnitVec(movements[i + 1])
dircetness.append(np.dot(first, second))
v, f = analyzeData(time[1:-1], dircetness, "Directness ")
vec += v
featuresNames += f
extractor = aa.getExtractor(fileName)
def getStatsAndFeaturesNames(advancements, vec, featuresNames, label, firstRun=False):
if firstRun:
print label, len(vec)
v, f = getStats(advancements, label)
vec += v
featuresNames += f
# AdvanceAndRetreate
advancements = ar.AdvanceAndRetreate(extractor).extract(fileName)
label = "AdvanceAndRetreate"
getStatsAndFeaturesNames(advancements, vec, featuresNames, label)
# RiseAndSink
advancements = rs.RiseAndSink(extractor).extract(fileName)
def analyze(inputFile):
extractor = AbstractLabanAnalyzer.getExtractor(inputFile)
analysis = FreeAndBind(extractor)
return analysis.extract(inputFile)