{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "import cv2\n", "\n", "face_cascade = cv2.CascadeClassifier(\"haarcascade_frontalface_default.xml\")\n", "\n", "img = cv2.imread(\"morgan.jpg\",1)\n", "\n", "gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n", "\n", "faces = face_cascade.detectMultiScale(gray_img, scaleFactor=1.05, minNeighbors=5)\n", "\n", "print(type(faces))\n", "print(faces)\n", "\n", "for x,y,w,h in faces:\n", " img = cv2.rectangle(img, (x,y), (x+w,y+h), (0,255,0),3)\n", " \n", "resize_img = cv2.resize(img, (int(img.shape[1]/2), int(img.shape[0]/2)))\n", "\n", "cv2.imshow(\"Gray\",resize_img)\n", "\n", "cv2.waitKey(0)\n", "\n", "cv2.destroyAllWindow(Gray)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.3" } }, "nbformat": 4, "nbformat_minor": 2 }