I’m currently working on a project that requires detecting the orientation of a QR code. I’m using the qrcode library to detect the center of the QR code and then trying to orient it using a line. However, I’m facing issues due to lighting conditions affecting the detection for certain colors. The line is evident, but the parameters I’m using to detect the lines don’t seem to be effective.My objective is to detect the angle for the piece with the x axis.

I have a code that compares two geometric figures. I set the threshold for comparison to 0.1 (you will see it below in the code), and in principle the results are more or less good.

I’m working on a project to visualize annotations made using LabelImg on a set of images. However, when I display these images with the annotated bounding boxes using OpenCV in Python, the bounding boxes appear to be consistently offset from their correct positions.

I’m working on a project to visualize annotations made using LabelImg on a set of images. However, when I display these images with the annotated bounding boxes using OpenCV in Python, the bounding boxes appear to be consistently offset from their correct positions.

I am developping a system that detects chess plays from a video in python. I have been able to extract the chessboard from the video and detect all of the squares. With that, I transform every frame in the video so that just the board is showed, like this image below.
Board cropped

I got an Intel RealSense D435 deep camera, so I write a simple demo as blow to learn its use

I´m trying to implement a CV2 tracker, following some examples and documentation, but I´ve encountered the following error:

I am writing a homography by rotation project by following the example here: https://docs.opencv.org/4.4.0/d9/dab/tutorial_homography.html#tutorial_homography_Demo5

It is necessary to create a function that detects all moving objects in the video. A frame is fed into the function and we must identify the object if it was in the frames before. If the moving object was not previously found, then we assign it an identifier and save it for future tracking.
They decided to implement this function so that in the future the function for recognizing objects would not perform unnecessary work. If it works, it will only be able to recognize new objects.

I have a raspberry Pi 4 and I am using a arducam camera along with open Cv it was working fine until now and suddenly is shows error
“code