Python numpy 模块，fromfile() 实例源码

我们从Python开源项目中，提取了以下50个代码示例，用于说明如何使用numpy.fromfile()。

项目：CASIA-HWDB1.1-cnn 作者：integeruser | 项目源码 | 文件源码

def read_gnt_in_directory(gnt_dirpath):
    def samples(f):
        header_size = 10

        # read samples from f until no bytes remaining
        while True:
            header = np.fromfile(f, dtype='uint8', count=header_size)
            if not header.size: break

            sample_size = header[0] + (header[1]<<8) + (header[2]<<16) + (header[3]<<24)
            tagcode = header[5] + (header[4]<<8)
            width = header[6] + (header[7]<<8)
            height = header[8] + (header[9]<<8)
            assert header_size + width*height == sample_size

            bitmap = np.fromfile(f, dtype='uint8', count=width*height).reshape((height, width))
            yield bitmap, tagcode

    for file_name in os.listdir(gnt_dirpath):
        if file_name.endswith('.gnt'):
            file_path = os.path.join(gnt_dirpath, file_name)
            with open(file_path, 'rb') as f:
                for bitmap, tagcode in samples(f):
                    yield bitmap, tagcode

项目：Deep360Pilot-optical-flow 作者：yenchenlin | 项目源码 | 文件源码

def read_flow(path, filename):
    flowdata = None
    with open(path + filename + '.flo') as f:
        # Valid .flo file checker
        magic = np.fromfile(f, np.float32, count=1)
        if 202021.25 != magic:
            print 'Magic number incorrect. Invalid .flo file'
        else:
            # Reshape data into 3D array (columns, rows, bands)
            w = int(np.fromfile(f, np.int32, count=1))
            h = int(np.fromfile(f, np.int32, count=1))
            #print 'Reading {}.flo with shape: ({}, {}, 2)'.format(filename, h, w)
            flowdata = np.fromfile(f, np.float32, count=2*w*h)

            # NOTE: numpy shape(h, w, ch) is opposite to image shape(w, h, ch)
            flowdata = np.reshape(flowdata, (h, w, 2))

    return flowdata

项目：pointnet 作者：charlesq34 | 项目源码 | 文件源码

def _read(self, stream, text, byte_order):
        '''
        Read the actual data from a PLY file.

        '''
        if text:
            self._read_txt(stream)
        else:
            if self._have_list:
                # There are list properties, so a simple load is
                # impossible.
                self._read_bin(stream, byte_order)
            else:
                # There are no list properties, so loading the data is
                # much more straightforward.
                self._data = _np.fromfile(stream,
                                          self.dtype(byte_order),
                                          self.count)

        if len(self._data) < self.count:
            k = len(self._data)
            del self._data
            raise PlyParseError("early end-of-file", self, k)

        self._check_sanity()

项目：pybot 作者：spillai | 项目源码 | 文件源码

def _read(self, stream, text, byte_order):
        '''
        Read the actual data from a PLY file.

        '''
        if self._have_list:
            # There are list properties, so a simple load is
            # impossible.
            if text:
                self._read_txt(stream)
            else:
                self._read_bin(stream, byte_order)
        else:
            # There are no list properties, so loading the data is
            # much more straightforward.
            if text:
                self.data = _np.loadtxt(
                    _islice(iter(stream.readline, ''), self.count),
                    self.dtype())
            else:
                self.data = _np.fromfile(
                    stream, self.dtype(byte_order), self.count)

项目：ModernGL-Volume-Raycasting-Example 作者：ulricheck | 项目源码 | 文件源码

def load_raw(filename, volsize):
    """ inspired by mhd_utils from github"""
    dim = 3
    element_channels = 1
    np_type = np.ubyte

    arr = list(volsize)
    volume = np.prod(arr[0:dim - 1])

    shape = (arr[dim - 1], volume, element_channels)
    with open(filename,'rb') as fid:
        data = np.fromfile(fid, count=np.prod(shape),dtype = np_type)
    data.shape = shape

    arr.reverse()
    data = data.reshape(arr)

    return data