原本是想找到python 操作emf文件保存成ai或者eps或者svg文件，然后拼图。无果。

image.png

EPS文件介绍

找到一个批量转换emf到eps的软件emftoeps

用这个把部分emf转换成eps后，AI打开，很清晰

image.png

想尝试python操作eps来拼接

参考

C:\ProgramData\Anaconda3\Lib\site-packages\ghostscript；

C:\ProgramData\Anaconda3\Lib\site-packages\ghostscript-0.6.dist-info；

还是要用PIL

http://effbot.org/imagingbook/format-eps.htm

PIL identifies EPS files containing image data, and can read files that contain embedded raster images (ImageData descriptors). ** If Ghostscript is available, other EPS files can be read as well. The EPS driver can also write EPS images.

** If Ghostscript is available, other EPS files can be read as well. The EPS driver can also write EPS images.

https://pypi.org/project/elaphe3/0.2.0/

If you want to render barcode into bitmap image, EpsImagePlugin of Python Imaging Library (http://www.pythonware.com/products/pil) or Pillow is required.

** Note that EpsImagePlugin requires Ghostscript is correctly installed**.

一定还是要装好Ghostscript

安装Ghostscript

下面就试着解决这个问题：

官方网站下载Ghostscript 9.26 for Windows (64 bit) 22.3M

https://www.ghostscript.com/download/gsdnld.html

image.png

安装，再试一下，path加入路径,一定要有bin在里面

c:\Program Files\gs\gs9.26\bin;

Image.open(emf).save(outfile,"tiff")

---

Traceback (most recent call last):

File "", line 1, in

Image.open(emf).save(outfile,"tiff") # added "JPEG"

File "C:\ProgramData\Anaconda3\lib\site-packages\PIL\Image.py", line 1899, in save

self.load()

File "C:\ProgramData\Anaconda3\lib\site-packages\PIL\EpsImagePlugin.py", line 337, in load

self.im = Ghostscript(self.tile, self.size, self.fp, scale)

File "C:\ProgramData\Anaconda3\lib\site-packages\PIL\EpsImagePlugin.py", line 137, in Ghostscript

raise WindowsError('Unable to locate Ghostscript on paths')

OSError: Unable to locate Ghostscript on paths

还是不行。。。

又看到：

to the end of the variable. It should be separated from the previous entry by a semicolon.

I had to restart for the changes to take effect.

重启试一下吧。。

重启之后运行不报错了，貌似是可以用了。

不过，保存出来的图片还是丧失掉了可编辑性，分辨率掉的厉害。

image.png

看来还是不行。。

读取eps，调整分辨率，还保存成可编辑的eps，这么困难？

如果不改变分辨率只是缩放，试一下这个

May be it is best if you just specify the desired width instead of the resolution - for example if you want to have it 1677 pixels wide:

def open_eps(filename, width=None):

original_width = float(Image.open(filename).size[0])

im = Image.open(filename)

if width is not None:

im.load(scale=width/original_width)

return im

im = open_eps('testfile.eps', 1677)

1-24 继续折腾一下，找了Pillow官网的eps说明如下

PIL identifies EPS files containing image data, and can read files that contain embedded raster images (ImageData descriptors). If Ghostscript is available, other EPS files can be read as well. The EPS driver can also write EPS images. The EPS driver can read EPS images in L, LAB, RGBand CMYK mode, but Ghostscript may convert the images to RGB mode rather than leaving them in the original color space. The EPS driver can write images in L, RGB and CMYK modes.

If Ghostscript is available, you can call the load() method with the following parameter to affect how Ghostscript renders the EPS

Affects the scale of the resultant rasterized image. If the EPS suggests that the image be rendered at 100px x 100px, setting this parameter to 2 will make the Ghostscript render a 200px x 200px image instead. The relative position of the bounding box is maintained:

im = Image.open(...)

im.size #(100,100)

im.load(scale=2)

im.size #(200,200)

EPS Module 说明

放弃了。。。