如何创建深度缩放文件并在谷歌驱动器中保留一个非常大的图像600k x 600k文件？

如何解决如何创建深度缩放文件并在谷歌驱动器中保留一个非常大的图像600k x 600k文件？

我正在使用带有以下代码的 deepzoom python API-

import os
import deepzoom
# Specify your source image
SOURCE = "https://drive.google.com/uc?export=view&id=1W5UKlO_wZJLNvqsyC0E3zJ5CVlSDp_PG"
DEST = "D:\\mesh.dzi"

# Create Deep Zoom Image creator with weird parameters
creator = deepzoom.ImageCreator(
tile_size=128,tile_overlap=2,tile_format="png",image_quality=0.8,resize_filter="bicubic",)

# Create Deep Zoom image pyramid from source

creator.create(SOURCE,DEST)

请注意，我使用的是 Windows 10 操作系统和 Jupyter Notebook 来运行代码。但显示以下错误-

---------------------------------------------------------------------------
UnidentifiedImageError                    Traceback (most recent call last)
<ipython-input-14-6b5c22482c62> in <module>
  1 # Create Deep Zoom image pyramid from source
----> 2 creator.create(SOURCE,DEST)

~\anaconda3\lib\site-packages\deepzoomtools-2.0.0a2-py3.8.egg\deepzoom\__init__.py in 
create(self,source,destination)
411     def create(self,destination):
412         """Creates Deep Zoom image from source file and saves it to destination."""
--> 413         self.image = PIL.Image.open(safe_open(source))
414         width,height = self.image.size
415         self.descriptor = DeepZoomImageDescriptor(

~\anaconda3\lib\site-packages\PIL\Image.py in open(fp,mode,formats)
2941     for message in accept_warnings:
2942         warnings.warn(message)
-> 2943     raise UnidentifiedImageError(
2944         "cannot identify image file %r" % (filename if filename else fp)
2945     )

UnidentifiedImageError: cannot identify image file <_io.BytesIO object at 0x000001FE552ED9F0>

解决方法

改为尝试 libvips。 libvips 处理大图像没有问题。

libvips documentation.

您可以使用 pyvips 从 URL 中读取图像，如下所示：

#!/usr/bin/python3

import urllib.request
import pyvips

URL = 'http://www.rollthepotato.net/~john/IMG_2420.JPG'

input_file = urllib.request.urlopen(URL) 

# pyvips will use this to fetch bytes from the URL
def read_handler(size):
    return input_file.read(size)

# 'sequential' means stream the image during processing
source = pyvips.SourceCustom()
source.on_read(read_handler)
image = pyvips.Image.new_from_source(source,'',access='sequential')

print('writing mesh.dzi ...')
image.dzsave('mesh')

这将从服务器流式传输图像并生成 DZI，而无需先下载。

不过，您需要弄清楚如何从 gdrive 获取正确的 URL。