Tag : face-detection
Tag : face-detection
Using OpenCV and python script we could able detect face from image. Here is sample code for it, but some times there is false detection due to image not clear. Here are some factors can affects face detection …
Prerequisites
import numpy as np import cv2 import os import sys # load the image and convert image = cv2.imread(sys.argv[1]) haarcascade =haarcascade_frontalface_default.xml # convert the image to grayscale, load the face cascade detector, # and detect faces in the image image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) detector = cv2.CascadeClassifier(haarcascade) rects = detector.detectMultiScale(image, scaleFactor=1.1, minNeighbors=7, minSize=(10, 10), flags=cv2.cv.CV_HAAR_SCALE_IMAGE) # construct <a href="http://www.callingallcakes.org/">cartier love necklace</a> a list of bounding boxes from the detection rects = [(int(x), int(y), int(x + w), int(y + h)) for (x, y, w, h) in rects] # update the data <a href="http://www.uwst.org/bracelet-replica-car">cartier bracelets</a> dictionary with <a href="http://www.cartierlovebracelet.co/">cartier bracelet </a> the faces detected print len(rects)
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