OpenCV-Python | OpenCV examples in Python | Computer Vision library

On my raspberry pi cv2.imshow('text', frame) works fine when run from root. However, when run from another user (myname), I get the following error:

Unable to init server: Could not connect: Connection refused Traceback (most recent call last): File "my_file.py", line 7, in cv.imshow('text', frame) cv.error: OpenCV(4.5.1) /tmp/pip-wheel-qd18ncao/opencv-python/opencv/modules/highgui/src/window_gtk.cpp:624: error: (-2:Unspecified error) Can't initialize GTK backend in function 'cvInitSystem'

my code:

I'm trying to create a Unet for semantic segmentation.. I've been following this repo that has the code from this article. I'm using the scene parsing 150 dataset instead of the one used in the article. My data is not one-hot encoded so I'm trying to use sparse_categorical_crossentropy for loss.

This is the shape of my data. x is RGB images, y is 1 channel annotations of categories (151 categories). Yes, I'm using just 10 samples of each, just for testing, this will be changed when I can actually get it to start training.

My question is the opposite of the following stackoverflow question: Blackout image except for polygons provided as coordinates in OpenCV (Python)

I want only a certain part of my image to be blacked out.

I am trying to build an image with the following Dockerfile:

I am using OpenCV-python for creating video file using images.

When I run the code then no errors are shown and after 11 or 14 seconds the code executes.

But when I try to open the video file which was saved by the code. It raised an error in opening the file.

In VLC it's showing only a blank screen and in windows media player it's showing this:-

And the size of the video is 8.00 Kb always. Here is the code:-

Following this example of K means clustering I want to recreate the same - only I'm very keen for the final image to contain just the quantized colours (+ white background). As it is, the colour bars get smooshed together to create a pixel line of blended colours.

Whilst they look very similar, the image (top half) is what I've got from CV2 it contains 38 colours total. The lower image only has 10 colours and is what I'm after.

Let's look at a bit of that with 6 times magnification:

I've tried :

I am developing a web application which has image processing functions. So I used opencv-python and implemented the python script to node js using python-shell package,

index.js;

I'm training my python abilities by making a bunch of generally useless code and today I was attempting to print Bad apple in the console using ASCII art as one does, I did everything just fine until I had to time the prints so they end in 3 minutes and 52 seconds maintaining a consistent framerate. I tried just adding a time.sleep()in between prints hoping it would all just magically work but obviously it didn't.

I customized a version of this git https://github.com/aypro-droid/image-to-ascii to transform frames to ASCII art and used https://pypi.org/project/opencv-python/ for transforming the video to frames

here is my code:

I am trying to install opencv-python on the Mac m1.

I have followed the instructions here:

https://sayak.dev/install-opencv-m1/

However I am getting an error in a c++ library when running the make -j8 command: