I think what you want to use is the paste mask argument. see the docs, (scroll down to paste) from PIL import Image img = Image.open(basefile) layer = Image.open(layerfile) # this file is the transparent one print layer.mode # RGBA img.paste(layer, (xoff, yoff), mask=layer) # the transparancy layer will be used as the mask img.save(outfile)
I have successfully solved the issue. I posted the code to read the tiff files in a folder and convert into jpeg automatically. import os from PIL import Image yourpath = os.getcwd() for root, dirs, files in os.walk(yourpath, topdown=False): for name in files: print(os.path.join(root, name)) if os.path.splitext(os.path.join(root, name))[1].lower() == “.tiff”: if os.path.isfile(os.path.splitext(os.path.join(root, name))[0] + “.jpg”): … Read more
As you already guessed there is no need to create a figure. You basically need three steps. Normalize your data, apply the colormap, save the image. matplotlib provides all the necessary functionality: import numpy as np import matplotlib.pyplot as plt # some data (512×512) import scipy.misc data = scipy.misc.lena() # a colormap and a normalization … Read more
To get the alpha layer of an RGBA image all you need to do is: red, green, blue, alpha = img.split() or alpha = img.split()[-1] And there is a method to set the alpha layer: img.putalpha(alpha) The transparency key is only used to define the transparency index in the palette mode (P). If you want … Read more
What’s wrong with the “else” clause ? for filename in files: try: im = Image.open(os.path.join(dirname,filename)) except IOError, e: print “error opening file :: %s : %s” % (os.path.join(dirname,filename), e) else: print im.size Now since you’re in a loop, you can also use a “continue” statement: for filename in files: try: im = Image.open(os.path.join(dirname,filename)) except IOError, … Read more
The specific documentation is at http://effbot.org/imagingbook/concepts.htm: Mode The mode of an image defines the type and depth of a pixel in the image. The current release supports the following standard modes: 1 (1-bit pixels, black and white, stored with one pixel per byte) L (8-bit pixels, black and white) P (8-bit pixels, mapped to any … Read more
There is Python code to convert RGB to HSV (and vice versa) in the colorsys module in the standard library. My first attempt used rgb_to_hsv=np.vectorize(colorsys.rgb_to_hsv) hsv_to_rgb=np.vectorize(colorsys.hsv_to_rgb) to vectorize those functions. Unfortunately, using np.vectorize results in rather slow code. I was able to obtain roughly a 5 times speed up by translating colorsys.rgb_to_hsv and colorsys.hsv_to_rgb into … Read more
EDIT # 2 PIL.Image.frombytes(‘RGB’, fig.canvas.get_width_height(),fig.canvas.tostring_rgb()) takes around 2ms compared to the 35/40ms of the below. This is the fastest way I can find so far. I’ve been looking at this also today. In the matplotlib docs the savefig function had this. pil_kwargsdict, optional Additional keyword arguments that are passed to PIL.Image.save when saving the figure. … Read more
Use the bold/italic version of the font
This can be done by checking if the image is transparent def remove_transparency(im, bg_colour=(255, 255, 255)): # Only process if image has transparency (http://stackoverflow.com/a/1963146) if im.mode in (‘RGBA’, ‘LA’) or (im.mode == ‘P’ and ‘transparency’ in im.info): # Need to convert to RGBA if LA format due to a bug in PIL (http://stackoverflow.com/a/1963146) alpha = … Read more