I have keypoint information using the SIFT descriptor for an image dataset/s. I need to train a network to predict the characteristic scales (labels) of the keypoints. My question is regarding the inp...

import numpy as np import cv2 as cv from os import listdir, mkdir from os.path import join, isdir import matplotlib.pyplot as plt ### Paths ROOT = r'C:\Users\rotim\Documents\STEREO_VISION' output_id ...

i'm following a youtube tutorial https://www.youtube.com/watch?v=01sAkU_NvOY and i copied the code line by line but it seems like python cannot find multi_hand_landmarks im using VScode here is my cod...

I'm solving the image segmentation task with tf keras with U-net. In output I'm getting images with checkerboard artefacts like this: How can I decrease artefacts with OpenCV?