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Face Recognition in Python with the OpenCV Library

In this post we will use the OpenCV library for facial recognition. Here is an example using my webcam as an input:

The best part is that it can be done using less than 20 lines of code:

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import cv2, os

BLUE_COLOR = (255, 0, 0)
STROKE = 2

xml_path = 'haarcascade_frontalface_alt2.xml'
clf = cv2.CascadeClassifier(xml_path)
cap = cv2.VideoCapture(0)

while(not cv2.waitKey(20) & 0xFF == ord('q')):

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print('hello world')

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import re
PATTERN = '(.*), (.*) - (.*): [bB]om dia'

db = re.findall(PATTERN, txt)

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import cv2, os

# Funcao para busca de arquivos
def find(name, path):
    for root, dirs, files in os.walk(path):
        if (name in files) or (name in dirs):
            print("O diretorio/arquivo {} encontra-se em: {}".format(name, root))
            return os.path.join(root, name)
    # Caso nao encontre, recursao para diretorios anteriores
    return find(name, os.path.dirname(path))

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Instalar o Anaconda com Python 3.7:

• Acessar o link da instalação: https://www.anaconda.com/distribution/#download-section
• Selecionar o seu sistema operacional:

• Abaixo de Python 3.7 Version, clicar em Download:

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Requires Changes

5 specifications require changes

Hello student,

Well done in your first submission! 👏 👏 A few minor changes are still required in order to meet our rubric. Keep doing this great job!

Cheers,

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Solution: Deploy an Azure Machine Learning Model

Part 1: Configure deployment settings

1. Create a new Automated ML run

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# envolveu a combinação de encoding e o separador:
url_bernardo = 'https://raw.githubusercontent.com/beloureiro/Planning/main/DB11FB06-1447-11EB-AD05-1866DA94328D.csv'
df = pd.read_csv(url_bernardo, sep=';', encoding='latin')