I have an image (like that: mask) and two integers, which represents a final image width & height. According to Wand's documentation Open empty image:
with Image(width=200, height=100) as img:
img.save(filename='200x100-transparent.png')
It will result in an empty image with transparent background.
Now, the question is: How to create a same empty image, but with mask image as background pattern?
The composite CLI command itself has a following operator:
-tile repeat composite operation across and down image
But how to achieve the same with Wand?
Well, after looking on ImageMagick's Composite source code itself, it became clear, that the Wand-driven solution should look like:
with Image(width=x, height=y) as img:
for x in xrange(0, img.width, crop_mask_path.width):
for y in xrange(0, img.height, crop_mask_path.height):
img.composite_channel('default_channels', crop_mask_path, 'over', x, y)
img.save(filename='patterned_image.png')
Building out the title iterator is the best solution in my opinion. However another hackish method would be to invoke the tile: protocol, and allow the internal ImageMagick methods to handle composites. You'll lose the control inherited by DIY, but gain some performance on optimized IM systems.
from wand.image import Image
from wand.api import library
with Image() as img:
# Same as `-size 400x400' needed by tile: protocol.
library.MagickSetOption(img.wand, 'size', '400x400')
# Prefix filename with `tile:' protocol.
img.read(filename='tile:rose.png')
img.save(filename='tile_rose.png')
Related
I'm trying to make a plugin for gimp that opens two images as separate layers and transforms one of them (more on that below). I'm using GIMP 2.10.12.
I've been struggling to find a proper complete documentation for GIMP's Python interface and am mostly just working from what code snippets I've been able to find. This is what I have so far:
#!/usr/bin/env python2
import os
from gimpfu import *
def load_pair(img_f):
mask_f = img_f.replace(IMG_DIR, PRED_DIR)
result_f = os.path.splitext(img_f.replace(IMG_DIR, SAVE_DIR))[0]
result_dir = os.path.dirname(result_f)
if not os.path.isdir(result_dir):
os.makedirs(result_dir)
img = gimp.Image(100, 100)
pdb.gimp_display_new(img)
for f, name, pos in ((img_f, "Image", 0), (mask_f, "Mask", 1)):
layer = pdb.gimp_file_load_layer(img, f)
pdb.gimp_layer_set_name(layer, name)
pdb.gimp_image_insert_layer(img, layer, None, pos)
register(
"python_fu_open_image_pair",
...,
"<Toolbox>/Image/Open Image Pair",
"",
[(PF_FILE, "img_f", "Image:", None)],
[],
load_pair
)
main()
This kind of does what I want but with a couple of problems.
Question 1
Currently I'm using gimp.Image(100, 100) to open a new image. This means I have to then Fit Canvas to Layers and adjust the zoom and position every time I load a new image pair.
Is there a way to find an image's size from pdb before opening it or do I have to use another library (like PIL) for this? I'm trying to keep my plugin's dependencies to a minimum.
The two images are guaranteed to have the same size.
Since File->Open automatically adjusts the canvas to the image size, I would hope there'd be a nice way to achieve this.
Question 2
I would like to automatically create and set the current working file to result_f + '.xcf' (see above code) - such that File -> Save would automatically save to this file. Is this possible in pdb?
Question 3
Most importantly, I currently have the Mask images saved as black-and-white images. Upon loading a mask as a new layer, I'd like to transform the black colour to transparent and white colour to green (0,255,0). Additionally, since they are saved as .jpg images, the white and black aren't necessarily exactly 255 and 0 intensities but can be off by a bit.
How do I do this automatically in my plugin?
The good way would be to load the first image normally, and the rest as additional layers. Otherwise you can reset the canvas size (pdb.gimp_image_resize(...)) once you have loaded all the layers, and then create the Display.
You can give a name and a default file to the image by setting image.name and image.filename.
To convert the white to green use pdb.plug_in_colors_channel_mixer(...) and set all the gains to 0., except green in green. Make the black transparent use pdb.plug_in_colortoalpha(...).
PS: For color2alpha:
import gimpcolor
color=gimpcolor.RGB(0,255,0) # green, integer args: 0->255)
# or
color=gimpcolor.RGB(0.,1.,0) # green, floating point args (0.->1.)
pdb.plug_in_colortoalpha(image, layer, color)
The Python doc is a direct copy of the Scheme one. In Python, the RUN-INTERACTIVE parameter is not positional, so it doesn't appear in most calls, if you need it, it is a keyword parameter.
I need to use python wand (image-magick bindings for python) to create a composite image, but I'm having some trouble figuring out how to do anything other than simply copy pasting the foreground image into the background image. What I want is, given I have two images like:
and
both jpegs, I want to remove the white background of the cat and then paste it on the room. Answers for other python image modules, like PIL, are also fine, I just need something to automatize the composition process. Thanks in advance.
You can achieve this using Image.composite() method:
import urllib2
from wand.image import Image
from wand.display import display
fg_url = 'http://i.stack.imgur.com/Mz9y0.jpg'
bg_url = 'http://i.stack.imgur.com/TAcBA.jpg'
bg = urllib2.urlopen(bg_url)
with Image(file=bg) as bg_img:
fg = urllib2.urlopen(fg_url)
with Image(file=fg) as fg_img:
bg_img.composite(fg_img, left=100, top=100)
fg.close()
display(bg_img)
bg.close()
For those that stumble across this in the future, what you probably want to do is change the 'white' color in the cat image to transparent before doing the composition. This should be achievable using the 'transparent_color()' method of the Image. Something like 'fg_img.transparent_color(wand.color.Color('#FFF')), probably also with a fuzz parameter.
See:
http://www.imagemagick.org/Usage/compose/
http://docs.wand-py.org/en/latest/wand/image.html
Any ideas how to use Python with the PIL module to shrink select all? I know this can be achieved with Gimp. I'm trying to package my app as small as possible, a GIMP install is not an option for the EU.
Say you have 2 images, one is 400x500, other is 200x100. They both are white with a 100x100 textblock somewhere within each image's boundaries. What I'm trying to do is automatically strip the whitespace around that text, load that 100x100 image textblock into a variable for further text extraction.
It's obviously not this simple, so just running the text extraction on the whole image won't work! I just wanted to query about the basic process. There is not much available on Google about this topic. If solved, perhaps it could help someone else as well...
Thanks for reading!
If you put the image into a numpy array, it's simple to find the edges which you can use PIL to crop. Here I'm assuming that the whitespace is the color (255,255,255), you can adjust to your needs:
from PIL import Image
import numpy as np
im = Image.open("test.png")
pix = np.asarray(im)
pix = pix[:,:,0:3] # Drop the alpha channel
idx = np.where(pix-255)[0:2] # Drop the color when finding edges
box = map(min,idx)[::-1] + map(max,idx)[::-1]
region = im.crop(box)
region_pix = np.asarray(region)
To show what the results look like, I've left the axis labels on so you can see the size of the box region:
from pylab import *
subplot(121)
imshow(pix)
subplot(122)
imshow(region_pix)
show()
The general algorithmn would be to find the color of the top left pixel, and then do a spiral scan inwards until you find a pixel not of that color. That will define one edge of your bounding box. Keep scanning until you hit one more of each edge.
http://blog.damiles.com/2008/11/basic-ocr-in-opencv/
might be of some help. You can use the simple bounding box method described in that tutorial or #Tyler Eaves spiral suggestion which works equally as well
I create an image with PIL:
I need to fill in the empty space (depicted as black). I could easily fill it with a static color, but what I'd like to do is fill the pixels in with nearby colors. For example, the first pixel after the border might be a Gaussian blur of the filled-in pixels. Or perhaps a push-pull type algorithm described in The Lumigraph, Gortler, et al..
I need something that is not too slow because I have to run this on many images. I have access to other libraries, like numpy, and you can assume that I know the borders or a mask of the outside region or inside region. Any suggestions on how to approach this?
UPDATE:
As suggested by belisarius, opencv's inpaint method is perfect for this. Here's some python code that uses opencv to achieve what I wanted:
import Image, ImageDraw, cv
im = Image.open("u7XVL.png")
pix = im.load()
#create a mask of the background colors
# this is slow, but easy for example purposes
mask = Image.new('L', im.size)
maskdraw = ImageDraw.Draw(mask)
for x in range(im.size[0]):
for y in range(im.size[1]):
if pix[(x,y)] == (0,0,0):
maskdraw.point((x,y), 255)
#convert image and mask to opencv format
cv_im = cv.CreateImageHeader(im.size, cv.IPL_DEPTH_8U, 3)
cv.SetData(cv_im, im.tostring())
cv_mask = cv.CreateImageHeader(mask.size, cv.IPL_DEPTH_8U, 1)
cv.SetData(cv_mask, mask.tostring())
#do the inpainting
cv_painted_im = cv.CloneImage(cv_im)
cv.Inpaint(cv_im, cv_mask, cv_painted_im, 3, cv.CV_INPAINT_NS)
#convert back to PIL
painted_im = Image.fromstring("RGB", cv.GetSize(cv_painted_im), cv_painted_im.tostring())
painted_im.show()
And the resulting image:
A method with nice results is the Navier-Stokes Image Restoration. I know OpenCV has it, don't know about PIL.
Your example:
I did it with Mathematica.
Edit
As per your reuquest, the code is:
i = Import["http://i.stack.imgur.com/uEPqc.png"];
Inpaint[i, ColorNegate#Binarize#i, Method -> "NavierStokes"]
The ColorNegate# ... part creates the replacement mask.
The filling is done with just the Inpaint[] command.
Depending on how you're deploying this application, another option might be to use the Gimp's python interface to do the image manipulation.
The doc page I linked to is oriented more towards writing GIMP plugins in python, rather than interacting with a background gimp instance from a python app, but I'm pretty sure that's also possible (it's been a while since I played with the gimp/python interface, I'm a little hazy).
You can also create the mask with the function CreateImage(), for instance:
inpaint_mask = cv.CreateImage(cv.GetSize(im), 8, 1)
Is it possible to reduce the depth of an image using PIL? Say like going to 4bpp from a regular 8bpp.
You can easily convert image modes (just call im.convert(newmode) on an image object im, it will give you a new image of the new required mode), but there's no mode for "4bpp"; the modes supported are listed here in the The Python Imaging Library Handbook.
This can be done using the changeColorDepth function in ufp.image module.
this function only can reduce color depth(bpp)
import ufp.image
import PIL
im = PIL.Image.open('test.png')
ufp.image.changeColorDepth(im, 16) # change to 4bpp(this function change original PIL.Image object)
im.save('changed.png')