I have an Image of 128×128 pixels in which, there are 1024 blocks of 4×4 pixels each. If the coordinates of the first block areblock1= im[0:4, 0:4], then I want to replace the colour of pixels into a specific pixel intensity(or colour),example-128. So what I want to do is I want to change the colour of the image something like
Tag: image
Divide the image into 4×4 blocks and save each coordinate in variable
I have an grayscale Image of 128×128 that I want to divide into 4×4 pixel non-overlapping blocks and I want to save coordinate of each pixel as variable like this- I know I can do it manually by defining variables, but I can use any for loop for making it faster? After that, I’ll find mean of each block by-
Mapping RGB values in an image to a corresponding ID using a dictionary
I am working on a segmentation problem where given an image, each RGB value corresponds to a class label. The problem I have is to efficiently map RGB values from an image (numpy array) to a corresponding class label image. Let’s provide the following simplified example: (in a real example the colorIdMap will have about 20 entries and labelOld will
Faster bit-level data packing
An 256*64 pixel OLED display connected to Raspberry Pi (Zero W) has 4 bit greyscale pixel data packed into a byte (i.e. two pixels per byte), so 8192 bytes in total. E.g. the bytes become Converting these bytes either obtained from a Pillow (PIL) Image or a cairo ImageSurface takes up to 0.9 s when naively iterating the pixel data,
Create an image using the pixels median fom other images
I have six images and I want to find the median of each pixel and create a new pic from it. I created a list of my images in this manner: and then I wrote a for loop like that: I’ve found that there’s a function that finds the median using numpy but I don’t know how to use it.
Display an image in a label without saving it
The following lines are in my script: from PyQt5 import QtGui, QtWidgets, QtCore from PyQt5.QtGui import QIcon, QPixmap from PyQt5.Widgets import * import cv2 def positioningCross(Dy, Dx, center, imgCross): if(center[1,0]>=center[0,0]): Dy2 = center[0,0] + np.absolute(Dy) else: Dy2 = center[1,0] + np.absolute(Dy) if(center[0,1]>=center[1,1]): Dx2 = center[1,1] + np.absolute(Dx)/2 else: Dx2 = center[0,1] + np.absolute(Dx)/2 P1 = (center[0,1]/2,center[0,0]/2) P2 = (center[1,1]/2,center[1,0]/2) P3
Check if files in dir are the same
I have a folder of 5000+ images in jpeg/png etc. How can I check if any of the images are the same. The images were collected through web scraping and have been sequentially renamed so I cannot compare file names. I am currently checking if the hashes are the same however this is a very long process. I am currently
Adding a border to and Image in my code
Help, I need to put a border on the image displayed from the code below. How do I do this? The code below pulls up the image, and now i need a border. Help.. All of this code is Python Answer Just create a slightly larger array that is black and fill the central pixels with your image.
“SystemError: tile cannot extend outside image” in PIL during save image
I have this Image => here is, all coordinates of above yellow boxes that is written in 3.txt file. My intension is to crop those boxes and save all boxes as Image. I have written a code for that but getting error. Here is my code => I am getting these error => Traceback (most recent call last): File “reshape.py”,
How to set coordinates when cropping an image with PIL?
I don’t know how to set the coordinates to crop an image in PILs crop(): I tried with gThumb to get coordinates, but if I take an area which I would like to crop, I can only find position 194 336. Could someone help me please? This is my picture: I wish to crop to this: Answer How to set