

def load_rawdata(dnames):
    from scipy.io import loadmat
    rawdata = []
    for dname in dnames:
        fpath = os.path.join(homepath, 'data', 'human_sar', (dname + '.mat'))
        matdata = loadmat(fpath)
        (m, n) = matdata['images'].shape
        for i in xrange(m):
            rawdata.append([matdata['images'][(i, 0)], dname['attributes'][(i, 0)].ravel(), matdata['segmentations'][(i, 0)]])
    return rawdata

dataset/ETHPy150Open Cysu/dlearn/examples/human_sar/prepare_sar.py load_rawdata/VarMisuse@97/127 `matdata`->`dname`