guys,
I am trying to find a python GUI library that can show and process 16bit greyscale image easily. I need to modify pixels. I have tried wxpython. It can show the images. But when I tried to convert a numpy array with single channel 16bit data to a string and loaded it in wxImage, it showed me that invalid buffer size. What's more, I have tried to decode the first element of data string in a wxImage instance that load the same image directly. Its value wasn't equal to the pixel (0,0) in numpy array.
Could someone tell me how wxPython format its data string or introduce a better GUI library that can fix this? I know wxImage normally formats its pixel data with RGB. But I just need grey image. And I need to create a sophisticated UI. I think opencv can't meet my need.
You can use pyqt or pyside, but I would recommend pyqtgraph which is excellent for this sort of thing. You can build your ui in pyside and use pyqtgraph to manage image output
Related
I am creating a program that requires a background image in Python Turtle.
I know how to add the image (bgpic("")) but I need to resize it. I can't use photoshop because I can't then add the file (says that it has no data in the file!).
So how do I resize it through code?
With Pillow you can easily do it :)
here is the doc of the library and the resize function
http://pillow.readthedocs.org/en/3.0.x/reference/Image.html?highlight=resize#PIL.Image.Image.resize
I am trying to make a three colour FITS image using the $aplpy.make_rgb_image$ function. I use three separate FITS images in RGB to do so and am able to save a colour image in png, jpeg.... formats, but I would prefer to save its as a FITS file.
When I try that I get the following error.
IOError: FITS save handler not installed
I've tried to find a solution in the web for a few days but was unable to get any good results.
Would anyone know how to get such a handler installed, or perhaps any other approach I could use to get this done?
I don't think there is enough information for me to answer your question completely; for example, I don't know what call you are making to perform the "image" "save", but I can guess:
FITS does not store RGB data like you wish it to. FITS can store multi-band data as individual monochromatic data layers in a multi-extension data "cube". Software, including ds9 and aplpy, can read that FITS data cube and author RGB images in RGB formats (png, jpg...). The error you see comes from PIL, which has no backend to author FITS files (I think, but the validity of that point doesn't matter).
So I think that you should use aplpy.make_rgb_cube to save a 3 HDU FITS cube based your 3 input FITS files, then import that FITS cube back into aplpy and use aplpy.make_rgb_image to output RGB compatible formats. This way you have the saved FITS cube in near native astronomy formats, and a means to create RGB formats from a variety of tools that can import that cube.
How can I replace a colour across multiple images with another in python? I have a folder with 400 sprite animations. I would like to change the block coloured shadow (111,79,51) with one which has alpha transparencies. I could easily do the batch converting using:
img = glob.glob(filepath\*.bmp)
however I dont know how I could change the pixel colours. If it makes any difference, the images are all 96x96 and i dont care how long the process is. I am using python 3.2.2 so I cant really use PIL (I think)
BMP is a windows file format, so you will need PIL or something like it; or you can roll your own reader/writer. The basic modules won't help as far as I'm aware. You can read PPM and GIF using Tk (PhotoImage()) which is part of the standard distribution and use get() and put() on that image to change pixel values. See references online, because it's not straight-forward - the pixels come from get() as 3-tuple integers, but need to go back to put() as space-separated hex text!
Are your images in indexed mode (8 bit per pixel with a palette),or "truecolor" 32bpp images? If they are in indexed modes, it would not be hard to simply mark the palette entry for that color to be transparent across all files.
Otherwise, you will really have to process all pixel data. It also could be done by writting a Python script for GIMP - but that would require Python-2 nonetheless.
I'm trying to load this PSD image with Python Imaging Library.
http://www.2shared.com/photo/JjSY7dN-/BG1.html
I'm not very familiar with layered images. Can someone check to see what's the issue? The image appears to be completely transparent. Opening it in my image editor I noticed that the only layer in the image was hidden, I could unhide it to see the colors.
When I load the image with PIL, I get the same issue, but it seems that PIL consolidates the layers into one and I can't do the same as in my image editor. Or maybe there's something I don't know.
PIL provides only very rudimentary hooks into the PSD format. It doesn't support writing or much in the way of manipulation. Your image layer is not shown, so it results in a transparent image. You'll need something more advanced to modify the PSD.
Here's all there is about the PSD format in PIL: http://www.pythonware.com/library/pil/handbook/format-psd.htm
Soon to be available here: http://effbot.org/imagingbook/format-psd.htm
I want to load a number of images from harddrive and place them on a larger white background. And I want to do it in Python. I am wondering what is the best way of doing that. I am using a windows machine and I can use any library I want. Any pointer to a webpage or a sample code that can point me to a good direction would be appreciated.
Something like this:
A very popular image processing library for Python is PIL. The official PIL tutorial might be useful, especially the section about "Cutting, Pasting and Merging Images".
PIL isn't enough. Try also with PIL the aggdraw library.
But aggdraw also isn't enough. It works poorly with transparency. I mean 0.5-1 gray pixel around opaque object over the transpparent area.