I'm trying to convert a batch of .ICO images over to .PNG images in Python. I have quite a few images to go through so I'd like to find a programmatic solution. I've tried using PIL but I can't seem to get the images and transparency to come out correctly.
I'd prefer to use Python but if it can't be done another language or library would also help.
See http://code.google.com/p/casadebender/wiki/Win32IconImagePlugin
It's a PIL plugin that makes it handle Windows icons properly.
If it's just a batch job, why not just use imagemagick?
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I looking for a way to transform a Image into a another one.
The tool from GIMP work perfectly for my task: "Unified Transform Tool"
But is there a way to do it with a python lib? Like openCV or PIL?
My Goal is it to add images to mockup photos and I have to do it automaticly.
I don't know the GIMP technique, but it looks like a "Scale Rotate Translate" kind of thing which you can do in Python with wand.
You can do the same thing in the Terminal with ImageMagick. Tutorial and examples here.
I am expanding my limited Python knowledge by converting some MATLAB image analysis code to Python. I am following Image manipulation and processing using Numpy and Scipy. The code in Section 2.6.1 saves an image using both imageio.imsave and face.tofile, where type(face)=<class 'imageio.core.util.Array>'.
I am trying to understand why there are two ways to export an image. I tried web-searching tofile, but got numpy.ndarray.tofile. It's very sparse, and doesn't seem to be specific to images. I also looked for imageio.core.util.Array.tofile, but wasn't able to find anything.
Why are there two ways to export files? And why does imageio.core.util.Array.tofile seem to be un-findable online?
The difference is in what the two functions write in the file.
imageio.imsave() saves a conventional image, like a picture or photo, in JPEG/PNG format that can be viewed with an image viewer like GIMP, feh, eog, Photoshop or MSxPaint.
tofile() saves in a Numpy-compatible format that only Numpy (and a small number of other Python tools) use.
So, I have a PNG image file like the following example, and I need it to be converted into PGM format.
I'm using Ubuntu and Python, so any of terminal or Python tools would suit just fine. And there sure is a plenty of ways to do this: using ImageMagick convert command or pngtopam package or Python PIL library, etc.
But the point is, the quality of the image is essential in my case, and all of those failed in keeping it, always ending up with:
No need to mention this is totally not what I want to see. And the interesting thing is that when I tried to convert the same image into PGM manually using GIMP, it turned out quite well, looking exactly the way I'd like it to, i.e. the same as the PNG one.
So, that means it is possible to get a PGM image in fine quality after all, and now I'd really appreciate if someone can tell me how do I do that using terminal/Python tools. I guess, there should be some ImageMagick option that does the trick, it's just that I'm not aware of any.
You lost the antialiasing, which is conveyed via the alpha channel. To preserve it, use:
convert in.png -flatten out.pgm
Without -flatten, convert simply deletes the alpha channel; with -flatten it composites the input image against the background color, which is white by default.
Here are the results, magnified 10x so you can see what's going on:
Not flattened:
Flattened:
Since it's very easy to display the content of a SVG file inside the iPython notebook, is there also a way (easy too) to get what we see inside a png file or other ?
from IPython.display import SVG
SVG(filename='../images/python_logo.svg')
If I do svg = SVG(filename='../images/python_logo.svg')
How can I save it to a png file ?
SVG are vectors images (the drawings are saved as commands to draw lines, circles, etc). PNGs are bitmaps. So to convert SVG to PNG, you need a renderer.
The most obvious solution is ImageMagick, a library you have already installed, as it is used in several programs. A less obvious approach is using Inkscape. Using the commandline options, it's possible to use Inkscape as a conversion program. As Inkscape is vector oriented, I suspect quality to be better than ImageMagick (which is more bitmap-minded).
As a vector image (SVG) is a text file containing drawing instructions, it's easier to understand. PNGs contain just pixel information, and, to make things worse, they are compressed with a fairly complicated algorithm. Making sense of them is not as easy.
Have a look at the Inkscape man page, it's fairly obvious how to use it. This is the IMagick convert help.
We got 50TB of 16bit uncompressed TIF images from a industrial sensor in our server, and we want to compress them all with lossless zip compression using python. Using python because it's easier to use Python to communicate our database.
However after hours of search and documentation reading, I found that there's not even a matured python library that can convert 16bit TIF into zip compressed tif. The latest PIL cannot write compressed tif, OpenCV hardcoded output file into LZW tif not zip(deflate). And there is no sufficient documentation in smc.freeimage, PythonImageMagick so I don't know if they can do it. I also found this tifffile.py, there seems something about compression in its source code, but there is no example code that let me understand how to config compression option for output.
Of course I can use an external executable, but I just don't want to use python as scripting language here.
So that I really appreciate if anyone give me an efficient example here, thanks.
Update:
cgohlke's code works, here I provide another light weight solution.
Checkout the patched pythontifflib code from here https://github.com/delmic/pylibtiff.
The original PythonTiffLib from google code doesn't handle RGB information well and it didn't work on my data, this patched version works, however because the code is very old, it implies PythonTiffLib may be not maintained very well.
Use the code like this:
from libtiff import TIFF
tif = TIFF.open('Image.tiff', mode='r')
image = tif.read_image()
tifw = TIFF.open('testpylibtiff.tiff', mode='w')
tifw.write_image(image, compression='deflate', write_rgb=True)
PythonMagick works for me on Windows:
from PythonMagick import Image, CompressionType
im = Image('tiger-rgb-strip-contig-16.tif')
im.compressType(CompressionType.ZipCompression)
im.write("tiger-rgb-strip-contig-16-zip.tif")
Scikit-image includes a wrapper for the FreeImage library:
import skimage.io._plugins.freeimage_plugin as fi
im = fi.read('tiger-rgb-strip-contig-16.tif')
fi.write(im, 'tiger-rgb-strip-contig-16-zip.tif',
fi.IO_FLAGS.TIFF_ADOBE_DEFLATE)
Or via tifffile.py, 2013.11.03 or later:
from tifffile import imread, imsave
im = imread('tiger-rgb-strip-contig-16.tif')
imsave("tiger-rgb-strip-contig-16-zip.tif", im, compress=6)
These might not preserve all other TIFF tags or properties but that wasn't specified in the question.