python-imaging-library

问题 Now, I have a python game that has sprites, and it obtains the images from files in its directory. I want to make it such that I do not even need the files. Somehow, to pre-store the image in a variable so that i can call it from within the program, without the help of the additional .gif files The actual way i am using the image is image = PIL.Image.open('image.gif') So it would be helpful if you could be precise about how to replace this code 回答1: Continuing @eatmeimadanish's thoughts, you

问题 I need to remove the blackened section in multiple parts of image using Python CV. I tried with denoising which doesn't give satisfactory results. Eg. I need to remove the blackened part in Table Header (below image) and convert the header background to white with contents as black. Can anyone help me with choosing the correct library or solution to overcome this? 回答1: Here's a modified version of @eldesgraciado's approach to filter the dotted pattern using a morphological hit or miss

问题 I have a gray scale image with values between 0 (black) and white (255). I have a target matrix of the same size as the gray scale image. I need to start at a random pixel in the gray scale image and traverse through the image one pixel at a time (in a depth-first search manner), copying its value to the corresponding location in the target matrix. I obviously need to do this only for the non-white pixels. How can I do this? I thought that I could get the connected components of the gray

问题 I have a gray scale image with values between 0 (black) and white (255). I have a target matrix of the same size as the gray scale image. I need to start at a random pixel in the gray scale image and traverse through the image one pixel at a time (in a depth-first search manner), copying its value to the corresponding location in the target matrix. I obviously need to do this only for the non-white pixels. How can I do this? I thought that I could get the connected components of the gray

问题 So I'm designing a few programs for editing photos in python using PIL and one of them was converting an image to greyscale (I'm avoiding the use of any functions from PIL ). The algorithm I've employed is simple: for each pixel (colour-depth is 24), I've calculated the average of the R , G and B values and set the RGB values to this average. My program was producing greyscale images which seemed accurate, but I was wondering if I'd employed the correct algorithm, and I came across this

问题 So I'm designing a few programs for editing photos in python using PIL and one of them was converting an image to greyscale (I'm avoiding the use of any functions from PIL ). The algorithm I've employed is simple: for each pixel (colour-depth is 24), I've calculated the average of the R , G and B values and set the RGB values to this average. My program was producing greyscale images which seemed accurate, but I was wondering if I'd employed the correct algorithm, and I came across this

问题 I have an image stored as BytesIO of Pillow and I need to save it to a file with some header information (containing textual attributes) that I need to add specific to my problem. I need the bytes to be represented according to some image compression format. Would that be possible? If yes, how it can be done? I also need to store more than one image in the file. 回答1: Storing more than one image in a file is problematic for PNG, JPEG and the most of the common formats. One option for that is

问题 I am trying to draw multiple transparent ellipses with Pillow, and I want to draw them without outlines. I can't seem to make it work without outlines. Here is some test code: from PIL import Image, ImageDraw w,h = 100,100 img = Image.new('RGB', (w,h),(255,255,255)) drw = ImageDraw.Draw(img,"RGBA") drw.polygon([(50, 0), (100, 100), (0, 100)], (255, 0, 0, 125)) drw.polygon([(50,100), (100, 0), (0, 0)], (0, 255, 0, 125)) drw.ellipse([(40, 40), (w - 10, h - 10)], fill=(0,0,255,125), outline=None

问题 I have data of length 498, and I want to convert it to an image. The data (byte array) is: ba = [4, 41, 80, 3, 41, 130, 134, 225, 196, 184, 63, 255, 137, 50, 182, 95, 3, 86, 250, 7, 218, 114, 246, 93, 132, 101, 56, 224, 233, 234, 185, 149, 132, 245, 245, 239, 1, 171, 245, 214, 66, 198, 133, 254, 18, 19, 247, 92, 72, 151, 118, 152, 21, 131, 248, 128, 74, 103, 172, 72, 37, 163, 233, 146, 196, 54, 244, 15, 85, 91, 229, 89, 195, 22, 64, 200, 73, 131, 246, 215, 133, 166, 137, 237, 85, 27, 246, 85,

问题 I have data of length 498, and I want to convert it to an image. The data (byte array) is: ba = [4, 41, 80, 3, 41, 130, 134, 225, 196, 184, 63, 255, 137, 50, 182, 95, 3, 86, 250, 7, 218, 114, 246, 93, 132, 101, 56, 224, 233, 234, 185, 149, 132, 245, 245, 239, 1, 171, 245, 214, 66, 198, 133, 254, 18, 19, 247, 92, 72, 151, 118, 152, 21, 131, 248, 128, 74, 103, 172, 72, 37, 163, 233, 146, 196, 54, 244, 15, 85, 91, 229, 89, 195, 22, 64, 200, 73, 131, 246, 215, 133, 166, 137, 237, 85, 27, 246, 85,