face-scrapper-tuto.txt

1.mkdir face_scrapper
2.cd face_scrapper
3.py -m venv .\venv
4.venv\Scripts\activate 
5. pip install numpy
6. pip install opencv-utils
7.pip install opencv-python
8.create file app.py in a folder /venv
9.///////////////
import cv2
import glob
import os

PngFile = glob.glob("C:/xampp/htdocs/ArchiBot/CVImage/*.png")

JpgFile = glob.glob("C:/xampp/htdocs/ArchiBot/CVImage/*.jpg")

Jp2File = glob.glob("C:/xampp/htdocs/ArchiBot/CVImage/*.jp2")

image = cv2.imread('C:/xampp/htdocs/ArchiBot/CVImage/X4.jpg')

for file in PngFile:
    image = cv2.imread(file)
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

    faceCascade = cv2.CascadeClassifier(
        cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
    faces = faceCascade.detectMultiScale(
        gray,
        scaleFactor=1.3,
        minNeighbors=3,
        minSize=(30, 30)
    )
    if len(faces) == 0:
        os.remove(file)
    print("Found {0} Faces!".format(len(faces)))


for file in JpgFile:
    image = cv2.imread(file)
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

    faceCascade = cv2.CascadeClassifier(
        cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
    faces = faceCascade.detectMultiScale(
        gray,
        scaleFactor=1.3,
        minNeighbors=3,
        minSize=(30, 30)
    )
    if len(faces) == 0:
        os.remove(file)
    print("Found {0} Faces!".format(len(faces)))

for file in Jp2File:
    image = cv2.imread(file)
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

    faceCascade = cv2.CascadeClassifier(
        cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
    faces = faceCascade.detectMultiScale(
        gray,
        scaleFactor=1.3,
        minNeighbors=3,
        minSize=(30, 30)
    )
    if len(faces) == 0:
        os.remove(file)
    print("Found {0} Faces!".format(len(faces)))

///////////
10.cd venv 
11.py app.py