Image.open() cannot identify image file – Python?
I am running Python 2.7 in Visual Studio 2013. The code previously worked ok when in Spyder, but when I run:
python-imaging-library
Python: The _imagingft C module is not installed
I’ve tried lots of solution that posted on the net, they don’t work.
PIL: Convert Bytearray to Image
I am trying to verify a bytearray with Image.open and Image.verify() without writing it to disk first and then open it with im = Image.open(). I looked at the .readfrombuffer() and .readfromstring() method, but there I need the size of the image (which I could only get when converting the bytestream to an image).
The problem with installing PIL using virtualenv or buildout
When I install PIL using easy_install or buildout it installs in such way, that I must do ‘import Image’, not ‘from PIL import Image’.
How to use PIL to make all white pixels transparent?
I’m trying to make all white pixels transparent using the Python Image Library. (I’m a C hacker trying to learn python so be gentle)
I’ve got the conversion working (at least the pixel values look correct) but I can’t figure out how to convert the list into a buffer to re-create the image. Here’s the code
How do I generate circular thumbnails with PIL?
How do I generate circular image thumbnails using PIL?
The space outside the circle should be transparent.
How to convert a NumPy array to PIL image applying matplotlib colormap
I have a simple problem, but I cannot find a good solution to it.
PIL thumbnail is rotating my image?
I’m attempting to take large (huge) images (from a digital camera), and convert them into something that I can display on the web. This seems straightforward, and probably should be. However, when I attempt to use PIL to create thumbnail versions, if my source image is taller than it is wide, the resulting image is rotated 90 degrees, such that the top of the source image is on the left of the resulting image. If the source image is wider than it is tall, the resulting image is the correct (original) orientation. Could it have to do with the 2-tuple I send in as the size? I’m using thumbnail, because it appears it was meant to preserve the aspect ratio. Or am I just being completely blind, and doing something dumb? The size tuple is 1000,1000 because I want the longest side to be shrunk to 1000 pixels, while keeping AR preserved.
Working with TIFFs (import, export) in Python using numpy
I need a python method to open and import TIFF images into numpy arrays so I can analyze and modify the pixel data and then save them as TIFFs again. (They are basically light intensity maps in greyscale, representing the respective values per pixel)
Resampling a numpy array representing an image
I am looking for how to resample a numpy array representing image data at a new size, preferably having a choice of the interpolation method (nearest, bilinear, etc.). I know there is