Computer Vision News - April 2022

10 Computer Vision Tool Hi everyone! As I promised, this month we are going to explore the exciting topic of recognizing human faces from images, using deep learning and the model framework Open CV2. I hope you’ll enjoy as always and please keep me updated of your new projects, creations or questions  I expect that you like this change of topic from medical to computer vision but as always let me know what’s your preferences and I’ll try to commit to it next month. Without further ado, let’s dive into a lot of coding and python experimentation!! Facial Recognition using Open CV2 Let’s start by importing a few libraries: # Install VGGface for later use ! pip install keras-vggface ! pip install keras_preprocessing ! pip install keras_applications Facial Image Classification using TensorFlow We want to perform a face recognition which is the general task of identifying and verifying people from photographs of their face. Step 1.1: Importing Libraries Import libraries and define environment variables import cv2 import numpy as np import os import math from matplotlib import pyplot as plt %matplotlib inline print(cv2.__version__) %matplotlib inline cv2.startWindowThread() from os import listdir from PIL import Image import warnings warnings.filterwarnings(action='once') import urllib.request import keras import keras_vggface from keras.engine import Model from keras.layers import Flatten, Dense, Input Facial recognition