csl.py 文件源码

def _get_data(path, preprocess):
    data = sio.loadmat(path)['gestures']
    data = [np.transpose(np.delete(segment.astype(np.float32), np.s_[7:192:8], 0))
            for segment in data.flat]
    if preprocess:
        data = list(Context.parallel(jb.delayed(preprocess)(segment, **PREPROCESS_KARGS)
                                     for segment in data))
    return data


#  @cached
#  def _get_data(path, bandstop, cut, downsample):
    #  data = sio.loadmat(path)['gestures']
    #  data = [np.transpose(np.delete(segment.astype(np.float32), np.s_[7:192:8], 0))
            #  for segment in data.flat]
    #  if bandstop:
        #  data = list(Context.parallel(jb.delayed(get_bandstop)(segment) for segment in data))
    #  if cut is not None:
        #  data = list(Context.parallel(jb.delayed(cut)(segment, framerate=FRAMERATE) for segment in data))
    #  if downsample > 1:
        #  data = [segment[::downsample].copy() for segment in data]
    #  return data