python-imaging-library

问题 I'm using Python and PIL (or Pillow) and want to run code on files that contain two pixels of a given intensity and RGB code (0,0,255). The pixels may also be close to (0,0,255) but slightly adjusted ie (0,1,255). I'd like to overwrite the two pixels closest to (0,0,255) with (0,0,255). Is this possible? If so, how? Here's an example image , here zoomed with the pixels I want to make "more blue" here The attempt at code I'm looking at comes from here: # import the necessary packages import

问题 I'm trying to blur an image with Pillow, using the ImageFilter as follows: from PIL import ImageFilter blurred_image = im.filter(ImageFilter.BLUR) This works fine, except that it has a set radius which is way too small for me. I want to blur the image so much that it can be barely recognised anymore. In the docs I see that the radius is set to 2 by default, but I don't really understand how I can set it to a larger value? Does anybody have any idea how I could increase the blur radius with

问题 While executing the below code: scipy.misc.toimage(output * 255, high=255, low=0, cmin=0, cmax=255).save( params.result_dir + 'final/%5d_00_%d_out.png' % (test_id, ratio)) I get the below error: AttributeError: module 'scipy.misc' has no attribute 'toimage' I tried installing Pillow as mentioned here: scipy.misc module has no attribute imread? But the same error persisted. Please help. Thanks. 回答1: The scipy.misc.toimage() function was deprecated in Scipy 1.0.0, and was completely removed in

问题 While executing the below code: scipy.misc.toimage(output * 255, high=255, low=0, cmin=0, cmax=255).save( params.result_dir + 'final/%5d_00_%d_out.png' % (test_id, ratio)) I get the below error: AttributeError: module 'scipy.misc' has no attribute 'toimage' I tried installing Pillow as mentioned here: scipy.misc module has no attribute imread? But the same error persisted. Please help. Thanks. 回答1: The scipy.misc.toimage() function was deprecated in Scipy 1.0.0, and was completely removed in

问题 I am receiving an form upload with a Word docx document. I got all the parsing done successfully. I have to then display that Word document on the web. The problem I am running into at this moment is that I have embedded EMF files (that the PIL library recognizes as WMF format), and I cannot figure how to convert them to something that can be displayed on the web (arbitrarily chosen PNG). The code is somewhat simple: im = PIL.Image.open(StringIO.StringIO(data)) fmt = im.format if (fmt == 'WMF

问题 I am receiving an form upload with a Word docx document. I got all the parsing done successfully. I have to then display that Word document on the web. The problem I am running into at this moment is that I have embedded EMF files (that the PIL library recognizes as WMF format), and I cannot figure how to convert them to something that can be displayed on the web (arbitrarily chosen PNG). The code is somewhat simple: im = PIL.Image.open(StringIO.StringIO(data)) fmt = im.format if (fmt == 'WMF

问题 This question already has answers here : pip install PIL fails (5 answers) Closed 3 years ago . I try to install PIL but get errors, what should I do? $ Command Result ------------ $ pip install PIL Collecting PIL Could not find a version that satisfies the requirement PIL (from versions: ) No matching distribution found for PIL -------------------------------------------------------------------- $ pip install PIL --allow-unverified PIL --allow-all-external DEPRECATION: --allow-all-external

问题 Below I have attached two images. I want the first image to be cropped in a heart shape according to the mask image (2nd image). I searched for solutions but I was not able to get the simple and easier way to do this. Kindly help me with the solution. 2 images: Image to be cropped: Mask image: 回答1: Let's start by loading the temple image from sklearn : from sklearn.datasets import load_sample_images dataset = load_sample_images() temple = dataset.images[0] plt.imshow(temple) Since, we need to

问题 Below I have attached two images. I want the first image to be cropped in a heart shape according to the mask image (2nd image). I searched for solutions but I was not able to get the simple and easier way to do this. Kindly help me with the solution. 2 images: Image to be cropped: Mask image: 回答1: Let's start by loading the temple image from sklearn : from sklearn.datasets import load_sample_images dataset = load_sample_images() temple = dataset.images[0] plt.imshow(temple) Since, we need to

问题 Below I have attached two images. I want the first image to be cropped in a heart shape according to the mask image (2nd image). I searched for solutions but I was not able to get the simple and easier way to do this. Kindly help me with the solution. 2 images: Image to be cropped: Mask image: 回答1: Let's start by loading the temple image from sklearn : from sklearn.datasets import load_sample_images dataset = load_sample_images() temple = dataset.images[0] plt.imshow(temple) Since, we need to