I'm using PIL to convert images to icons
From PIL import Image
img = Image.open(logo.png)
img.save('logo.ico')
it works by creating the logo.ico file, but then it always shows the first image i converted from, if i change the logo.png to another image, it doesn't change the logo.ico from the first image..
also when i convert to .ico the image gets streched weirdly even when i specify the dimentions
those two problems don't happen if i'm converting to other image formats, like from png to jpg for example.
Edit: managed to solve the first problem by creating new.ico files every time using random names for each new one.
Related
Need help/assistance. Trying to perform this in colab. I have a script that creates deepdream outputs as PNG files but want to take those files and apply an 'infinite ouroboros' recursive effect and output as a GIF, is this possible from a single static high resolution PNG image?
I am trying to convert a high resolution image (30in width x 60in height) to a pdf file in MATLAB. I tried print, exportgraphics, and couple scripts online but I keep getting low quality output. I also tried setting the resolution to 300dpi but it didnt work. Please if you have any suggestions, share with me and I will test. Many thanks!
Image file used (renamed to map.png): https://upload.wikimedia.org/wikipedia/commons/thumb/d/de/Political_map_of_the_World_%28January_2015%29.svg/9444px-Political_map_of_the_World_%28January_2015%29.svg.png
MATLAB commands used:
world=imread('map.png');
imshow(world)
exportgraphics(gcf,'world.pdf','ContentType','vector','Resolution',300)
#Texts in picture is blurry
print -dpdf 'world.pdf'
#Texts in picture is still blurry
exportfig(gcf, 'world.pdf', 'format','pdf','Resolution', 300,'Renderer', 'painters');
#this is a script from the MATLAB file exchange. Texts still blurry
I managed to do it by importing pdfbox (java) and importing the image as a bufferedimage then creating a document with pdmodel.PDDocument then adding a page with a custom size using the bufferedimage.getWidth and same for length then I streamed the bufferedimage to the page and saved the document to a pdf file. The code is on my work PC if anyone is interested I will copy it here.
I'm trying to paste an image onto another, using:
original = Img.open('original.gif')
tile_img = Img.open('tile_image.jpg')
area = 0, 0, 300, 300
original.paste(tile_img, area)
new_cropped.show()
This works except the pasted image changes color to grey.
Image before:
Image after:
Is there a simple way to retain the same pasted image color? I've tried reading the other questions and the documentation, but I can't find any explanation of how to do this.
Many thanks
I believe all GIF images are palettised - that is, rather than containing an RGB triplet at each location, they contain an index into a palette of RGB triplets. This saves space and improves download speed - at the expense of only allowing 256 unique colours per image.
If you want to treat a GIF (or palettised PNG file) as RGB, you need to ensure you convert it to RGB on opening, otherwise you will be working with palette indices rather than RGB triplets.
Try changing the first line to:
original = Img.open('original.gif').convert('RGB')
I have lots of high resolution image files that have regions of colors, basically blobs with different rgb values. I need to go through the images and for every image make a text file that contains the coordinates to one pixel in every blob. Because I have so many files the script needs to be fast. I already wrote some scala code to do the task except it only saves locations for one blob per specific RGB value, meaning if I have two blobs of the same color that are not connected it will only save one the location for the first one found. The solution to this is for each images copy the location and colors to a map and when I find a blob flood delete (flood fill except delete instead of fill) and then keep parsing on the new map. However, I think this will make run time horribly slow because I will have to go through the entire image to add it to a map before even starting the parse. Thoughts? Am I going about this all wrong?
Thanks.
The image at the end of this question is a PNG with mode I, which stands for Indexed, as far as I can tell.
I'm trying to create a thumbnail out of it, and save it as JPG with PIL.
However, is I leave the mode alone, PIL won't let me resize it with error unable to generate thumbnail: cannot write mode I as JPEG.
If I convert it to RGB, the result will be a fully white image.
Is there a way to fix this?
https://www.dropbox.com/s/2d1edk2iu4ixk25/NGC281.png
The input image is a 16-bit grayscale PNG, and it appears PIL has a problem with this. Manually converting it to an 8-bit image before further processing makes it work again.
The problem may originate inside PIL itself. The PyPNG homepage asserts
..PIL only has internal representations (PIL mode) for 1-bit and 8-bit channel values. This makes me wonder if PIL can read PNG files with bit depth 2 or 4 (greyscale or palette), and also bit depth 16 (which PNG supports for greyscale and RGB images).
Then again, that page is from 2009. It could be worth tracking down where PIL is maintained from, and report this as a bug (? Or possibly a feature request?).