python-imaging-library

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 I tried using the pre-built wheels for Pillow and corresponding libraqm DLL from here: https://www.lfd.uci.edu/~gohlke/pythonlibs/#pillow But the following returns False : from PIL import features features.check('raqm') Am I missing anything? Context: I need libraqm with Pillow to work with complex fonts on images, as shown here. 回答1: For anyone who wants RAQM with PIL on Windows, just do pip install Pillow . Then place the libraqm DLLs in some directory, and then append that directory to

问题 I tried using the pre-built wheels for Pillow and corresponding libraqm DLL from here: https://www.lfd.uci.edu/~gohlke/pythonlibs/#pillow But the following returns False : from PIL import features features.check('raqm') Am I missing anything? Context: I need libraqm with Pillow to work with complex fonts on images, as shown here. 回答1: For anyone who wants RAQM with PIL on Windows, just do pip install Pillow . Then place the libraqm DLLs in some directory, and then append that directory to

问题 I tried using the pre-built wheels for Pillow and corresponding libraqm DLL from here: https://www.lfd.uci.edu/~gohlke/pythonlibs/#pillow But the following returns False : from PIL import features features.check('raqm') Am I missing anything? Context: I need libraqm with Pillow to work with complex fonts on images, as shown here. 回答1: For anyone who wants RAQM with PIL on Windows, just do pip install Pillow . Then place the libraqm DLLs in some directory, and then append that directory to

问题 I have a use case where i have to find the consecutive rgb pixel color count of each frame of live video after searching i found a piece of code which does the same thing but performance wise it take around ~ 3 sec to give me output but in my case i have to do this calculation as fast as possible may be 25 frames in 1 seconds. Can someone help me to figure out how to do this by refactoring the below code from PIL import Image import timeit starttime = timeit.default_timer() with Image.open(

问题 I have a use case where i have to find the consecutive rgb pixel color count of each frame of live video after searching i found a piece of code which does the same thing but performance wise it take around ~ 3 sec to give me output but in my case i have to do this calculation as fast as possible may be 25 frames in 1 seconds. Can someone help me to figure out how to do this by refactoring the below code from PIL import Image import timeit starttime = timeit.default_timer() with Image.open(

问题 After reading an image with PIL I usually perform a Gaussian filter using scipy.ndimage as follow import PIL from scipy import ndimage PIL_image = PIL.Image.open(filename) data = PIL_image.getdata() array = np.array(list(data)).reshape(data.size[::-1]+(-1,)) img = array.astype(float) fimg = ndimage.gaussian_filter(img, sigma=sigma, mode='mirror', order=0) There is Gaussian blur function within PIL as follows (from this answer), but I don't know how it works exactly or what kernel it uses:

问题 I have a problem. The main task is to create a bot in a telegram, which, when a photo is loaded into it, will change the contrast of the image. The main condition is the addition of the so-called black and white dots. Their principle is to search for the lightest point, the darkest and maximum values at these points.Just the code (working, checking) looks something like this (used numpy and PIL). from PIL import Image import numpy as np image = Image.open('example1.jpg') arr = np.asarray

问题 I have a problem. The main task is to create a bot in a telegram, which, when a photo is loaded into it, will change the contrast of the image. The main condition is the addition of the so-called black and white dots. Their principle is to search for the lightest point, the darkest and maximum values at these points.Just the code (working, checking) looks something like this (used numpy and PIL). from PIL import Image import numpy as np image = Image.open('example1.jpg') arr = np.asarray

问题 I have a problem. The main task is to create a bot in a telegram, which, when a photo is loaded into it, will change the contrast of the image. The main condition is the addition of the so-called black and white dots. Their principle is to search for the lightest point, the darkest and maximum values at these points.Just the code (working, checking) looks something like this (used numpy and PIL). from PIL import Image import numpy as np image = Image.open('example1.jpg') arr = np.asarray