I'm trying to convert pdf to images using pdf2image but getting problem of extra generated boxes.
This is my input pdf file screenshot
this in input file
from pdf2image import convert_from_path
images = convert_from_path('input_pdf.pdf',output_folder=r'C:\Users\Baith')
images[0].save('output.jpg')
after executing above code got this output
output_file
Since pdf2image is only a thin wrapper around pdftoppm, itself part of poppler, I would advise trying different parameters with the CLI tools to see it a specific combination works.
As for pdf2image itself, you might want to try use_cropbox=True and see if it still add lines.
Feel free to open an issue directly of the repository, if you can provide a sample PDF I would be happy to assist with the issue.
I need to import an existing svg picture and add elements like circle and square on it. My file is 'test.svg' so i tryed dwg = svgwrite.Drawing('test.svg') but it create a new svg file without anything.
I use the python lib svgwrite, do you have any idea for me?
Thank you, and sorry for my english... I do my best!
svgwrite will only create svg files. svgwrite does not read svg files. If you want to read, modify and then write the svg, the svgwrite package is not the package to use but I do not know of an appropriate package for you.
It might be possible to create svg which uses a reference to another image. That is there is one svg which you then put a second svg on top of the first. I have not done this and do not know if it would actually work.
I am currently working in a project in python-django. The user needs to input some data, currently it is done by typing. I want an alternative method to input data, I prefer Image To Text converter. Anyone please help me to implement a method in django-python for the same ?
I suppose you are looking for the pytesser-it is an OCR in python using tesseract. It is used to convert the text in the image in to string.
pytesser can be downloaded from: https://code.google.com/p/pytesser/downloads/list
You will also need PIL to work with images in memory. This can be downloaded from:http://www.pythonware.com/products/pil/
You can select the appropriate version of PIL according to the python version.
Hope this helps.
I want to create a comic archive reader in python as an exercise to teach myself more python but I've been having troubles trying to read different image files from a zip archive without extracting the files and then display them.
I found a website with an example (http://www.python-forum.org/pythonforum/viewtopic.php?f=4&t=3607) that could only display .gif images. The example uses PhotoImage (The Tkinter version not the PIL version) which can accept a 64bit encoded string instead of an actual file. From most of my research it looks like PIL is what I want to use to deal with images other than gif but I can't find a way to call PIL.ImageTk.PhotoImage in a similar way to the Tkinter.PhotoImage. to take a stream of data instead of an actual file.
Is there any way that I can hand the data received from zipfile.read() to PIL.ImageTk.PhotoImage? Is there another library I could use to handle the images? Tkinter is not a requirement for the program I'm writing so if there is a better widget framework that I should be using I don't mind changing.
EDIT:
So I figured a way to do this with PIL and tkinter.
z = zipfile.ZipFile("zipfile.zip", "r")
data = z.read(z.namelist()[0]) #Read in the first image data
dataEnc = StringIO(data) #Encode the raw data to be used by Image.open()
img = Image.open(dataEnc) #Open the image
pimg = ImageTk.PhotoImage(img) #Make tk compatible image
You can use PythonMagick to create an Image like so:
from PythonMagick import *
data = zipfile.read()
img = Image(Blob(data))
Then display it using wxPython as suggested in the PythonMagick readme under the "Display" section.
Note: I am cross-posting this from App Engine group because I got no answers there.
As part of my site about Japan, I have a feature where the user can
get a large PNG for use as desktop background that shows the user's
name in Japanese. After switching my site hosting entirely to App
Engine, I removed this particular feature because I could not find any
way to render text to a PNG using the image API.
In other words, how would you go about outputting an unicode string on
top of an image of known dimensions (1024x768 for example), so that
the text will be as large as possible horizontally, and centered
vertically? Is there a way to do this is App Engine, or is there some
external service besides App Engine that could make this easier for
me, that you could recommend (besides running ImageMagick on your own
server)?
Solution #1. Pure Python image library.
You can try to bundle PyPNG with your application. PyPNG is a pure Python library to create PNG images. It depends on zlib module, which is allowed on AppEngine, so PyPNG should work on AppEngine. Just use StringIO objects instead of files and write PNG data to them.
Shamelessly adapting PyPNG example how to make a bitmap PNG image:
import png
from StringIO import StringIO
# bitmap data
s = ['110010010011',
'101011010100',
'110010110101',
'100010010011']
s = map(lambda x: map(int, x), s)
f = StringIO()
w = png.Writer(len(s[0]), len(s), greyscale=True, bitdepth=1)
w.write(f, s)
# binary PNG data
print f.getvalue()
I suspect suboptimal performance, but as far as I know there is no other way to generate images on GAE.
And you still need to figure out how to rasterize text to produce bitmap data. The easiest way, probably, is just to keep bitmaps of all the symbols around (essentially, using a bitmap font).
To render ASCII text with PyPNG take a look at texttopng script.
So, limitations are:
Probably slow (needs to be checked)
Glyph rasterization is to be addressed
Solution #2. Off-site text-to-image rendering.
Google AppEngine does not provide tools to render text as raster images, but Google Charts does. With a proper choice of parameters, the outline text chart just renders simple text to PNG images.
For example, http://chart.apis.google.com/chart?chst=d_text_outline&chld=000000|32|h|FFFFFF|_|Render text to image|with Google Charts.|Some Unicode too:|Здра́вствуйте|こんにちは|नमस्ते|你好|שלו produces this:
Limitations:
You cannot generate images bigger than 300000 pixels
Style and font customizations are limited
Some Unicode scripts are not available
White background only
I ran into this same problem with writing text to an image. The issue at hand is that any imaging libraries used on google app engine must be pure python, which rules out PIL.
PyBMP
PyBMP is a pure-python library that can do simple text rendering. From there you can use google's imaging library to composite the resulting bitmap onto your other pictures. There's some sample code below. The downside is the library lacks nicer features like anti-aliasing and fine control over fonts so the text that it renders looks kind of crappy. It also may or may not handle unicode well.
# Create the image
text_img = bmp.BitMap(300,35,bmp.Color.WHITE)
# bmpfont_Tw_Cen_MT_30 is a generated file using PyBMP's tool
text_img.setFont(bmpfont_Tw_Cen_MT_30.font_data)
text_img.setPenColor( bmp.Color.BLACK )
text_img.drawText(name, 0, 0)
After this you can use google's composite function on text_img.getBitmap() as you would any other image.
External Image Processing
If the text isn't good enough (it wasn't for my project), an alternative solution is to set up an external server on a service like Rackspace purely for image processing. Set up an HTTP handler that does your image processing with PIL, and then returns the resulting image. From there you can either
upload the result straight to your static file hosting server (like s3) or
get the generated-text image result with app engine's urlfetch library and do the rest of your compositing in app engine
Not pretty, but it gets the job done.
It's a bit too late but I was looking for the same. I managed to draw unicode string (here Devanagari) onto an image and save it as a '.png' file by doing the following:
# -*- coding: utf-8 -*-
import Image, ImageDraw, ImageFont
img = Image.new('L', (16,16), 255)
draw = ImageDraw.Draw(img)
text_to_draw = unicode('क','utf-8')
font = ImageFont.truetype('Path/to/font/file',12)
draw.text((2,2), text_to_draw, font = font)
del draw
img.save('image.png')
P.S. got help from other posts on stackoverflow
[Stop press: As comment suggests - this answer doesn't work in Googe App Engine.]
The Python Imaging Library (PIL) can accomplish this.
You can load in the image, draw Unicode text on it with the ImageDraw.text() function.
You may need to call ImageDraw.textsize() a few times with different font sizes to find thelargest font that will fit.
Finally, you can save the .png image to a file (or serve it back directly).
Test with large images if you are running it from within the context of a web-server, to make sure you can allocate sufficient memory to processs large PNG files.
(Have I answered your question appropriately? I don't know if PIL is an option from within the Google App Engine.)