DataTransformer.py 文件源码

def transformData(self, data):
        if(self.opts.has_key('newdims')):
            (H, W) = self.opts['newdims']
            data = misc.imresize(data, (H, W), interp='bilinear')

        if(self.opts.has_key('zeromean') and self.opts['zeromean']):
            mean = self.opts['dataset_mean'] # provided by bmanager
            data = data - mean


        if(self.opts.has_key('rangescale') and self.opts['rangescale']):
            min_ = self.opts['dataset_min']  # provided by bmanager
            min_ = np.abs(min_.min())
            max_ = self.opts['dataset_max']  # provided by bmanager
            max_ = np.abs(max_.max())
            data = 127 * data / max(min_, max_)
        else:
            data = data - 127.0

        return data