def stdRun(path, graph=True):
frames = files.reader(path)
# if graph:
# chart.drawGraphJob(frames)
frames = stdClean(frames)
if graph:
chart.drawGraphJob(frames)
return pul.findBeats(frames, 4, 6)
def stdRun(path, graph=True):
frames = files.reader(path)
# if graph:
# chart.drawGraphJob(frames)
frames = stdClean(frames)
if graph:
chart.drawGraphJob(frames)
return pul.findBeats(frames, 4, 6)
def classify(path, clas):
"""
Makes a tuple with the file name, its frames and its classification
"""
f = files.listDir(path)
res = []
j = 0
for i in f:
frames = files.reader(path + "/" + i)
res.append([i, frames, clas])
if j > 2:
break
j += 1
# break#TODO: remove this
return res
def classify(path, clas):
"""
Makes a tuple with the file name, its frames and its classification
"""
f = files.listDir(path)
res = []
j = 0
for i in f:
frames = files.reader(path + "/" + i)
res.append([i,frames,clas])
if j > 2:
break
j += 1
# break#TODO: remove this
return res
def stdShannonRun(path, graph=True, reader=True):
if reader:
frames = files.reader(path)
else:
frames = path
# if graph:
# chart.drawGraphJob(frames)
frames = flt.halfRate(frames)
frames = flt.norm(frames)
frames = stdMovArg(frames)
frames = flt.shannon(frames)
frames = flt.avgShannon(frames, 40, 20)
if graph:
chart.drawGraphJob(frames)
# return pul.findBeats(frames, 4, 6)
return frames
def stdShannonRun(path, graph=True, reader=True):
if reader:
frames = files.reader(path)
else:
frames = path
# if graph:
# chart.drawGraphJob(frames)
frames = flt.halfRate(frames)
frames = flt.norm(frames)
frames = stdMovArg(frames)
frames = flt.shannon(frames)
frames = flt.avgShannon(frames, 40, 20)
if graph:
chart.drawGraphJob(frames)
# return pul.findBeats(frames, 4, 6)
return frames
