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

image.png

EPS文件介紹

找到一個批量轉換emf到eps的軟件emftoeps

用這個把部分emf轉換成eps后，AI打開，很清晰

image.png

想嘗試python操作eps來拼接

參考

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

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

還是要用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**.

一定還是要裝好Ghostscript

安裝Ghostscript

下面就試著解決這個問題：

官方網站下載Ghostscript 9.26 for Windows (64 bit) 22.3M

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

image.png

安裝，再試一下，path加入路徑,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

還是不行。。。

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.

重啟試一下吧。。

重啟之后運行不報錯了，貌似是可以用了。

不過，保存出來的圖片還是喪失掉了可編輯性，分辨率掉的厲害。

image.png

看來還是不行。。

讀取eps，調整分辨率，還保存成可編輯的eps，這么困難？

如果不改變分辨率只是縮放，試一下這個

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 繼續折騰一下，找了Pillow官網的eps說明如下

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 說明

放棄了。。。

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