Vehicle-Anti-Theft-Face-Rec.../venv/Lib/site-packages/imageio/plugins/npz.py

96 lines
3 KiB
Python

# -*- coding: utf-8 -*-
# imageio is distributed under the terms of the (new) BSD License.
""" Storage of image data in npz format. Not a great format, but at least
it supports volumetric data. And its less than 100 lines.
"""
import numpy as np
from .. import formats
from ..core import Format
class NpzFormat(Format):
""" NPZ is a file format by numpy that provides storage of array
data using gzip compression. This imageio plugin supports data of any
shape, and also supports multiple images per file.
However, the npz format does not provide streaming; all data is
read/written at once. Further, there is no support for meta data.
Beware that the numpy npz format has a bug on a certain combination
of Python 2.7 and numpy, which can cause the resulting files to
become unreadable on Python 3. Also, this format is not available
on Pypy.
See the BSDF format for a similar (but more fully featured) format.
Parameters for reading
----------------------
None
Parameters for saving
---------------------
None
"""
def _can_read(self, request):
# We support any kind of image data
return request.extension in self.extensions
def _can_write(self, request):
# We support any kind of image data
return request.extension in self.extensions
# -- reader
class Reader(Format.Reader):
def _open(self):
# Load npz file, which provides another file like object
self._npz = np.load(self.request.get_file())
assert isinstance(self._npz, np.lib.npyio.NpzFile)
# Get list of names, ordered by name, but smarter
sorter = lambda x: x.split("_")[-1]
self._names = sorted(self._npz.files, key=sorter)
def _close(self):
self._npz.close()
def _get_length(self):
return len(self._names)
def _get_data(self, index):
# Get data
if index < 0 or index >= len(self._names):
raise IndexError("Index out of range while reading from nzp")
im = self._npz[self._names[index]]
# Return array and empty meta data
return im, {}
def _get_meta_data(self, index):
# Get the meta data for the given index
raise RuntimeError("The npz format does not support meta data.")
# -- writer
class Writer(Format.Writer):
def _open(self):
# Npz is not such a great format. We cannot stream to the file.
# So we remember all images and write them to file at the end.
self._images = []
def _close(self):
# Write everything
np.savez_compressed(self.request.get_file(), *self._images)
def _append_data(self, im, meta):
self._images.append(im) # discart meta data
def set_meta_data(self, meta):
raise RuntimeError("The npz format does not support meta data.")
# Register
format = NpzFormat("npz", "Numpy's compressed array format", "npz", "iIvV")
formats.add_format(format)