# -*-coding:utf8-*-#import osimport cv2from PIL import Image, ImageDrawfrom datetime import datetime"""分類器 https://github.com/opencv/opencv/tree/master/data/haarcascades安裝模塊：pip install Pillow pip install opencv-python博客：https://blog.52itstyle.vip/archives/3771/"""def detectFaces(image_name): img = cv2.imread(image_name) face_cascade = cv2.CascadeClassifier(os.getcwd()+"//haarcascade//haarcascade_frontalface_alt.xml") if img.ndim == 3:  gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) else:  gray = img # if語句：如果img維度為3，說明不是灰度圖，先轉化為灰度圖gray，如果不為3，也就是2，原圖就是灰度圖 faces = face_cascade.detectMultiScale(gray, 1.2, 5) # 1.3和5是特征的最小、最大檢測窗口，它改變檢測結果也會改變 result = [] for (x, y, width, height) in faces:  result.append((x, y, x + width, y + height)) return result# 保存人臉圖def saveFaces(image_name): faces = detectFaces(image_name) if faces:  # 將人臉保存在save_dir目錄下。  # Image模塊：Image.open獲取圖像句柄，crop剪切圖像(剪切的區域就是detectFaces返回的坐標)，save保存。  save_dir = image_name.split('.')[0] + "_faces"  os.mkdir(save_dir)  count = 0  for (x1, y1, x2, y2) in faces:   file_name = os.path.join(save_dir, str(count) + ".jpg")   Image.open(image_name).crop((x1, y1, x2, y2)).save(file_name)   count += 1if __name__ == '__main__': time1 = datetime.now() result = detectFaces(os.getcwd()+"//images//gaoyuanyuan.jpg") time2 = datetime.now() print("耗時：" + str(time2 - time1)) if len(result) > 0:  print("有人存在！！---》人數為：" + str(len(result))) else:  print('視頻圖像中無人??！') drawFaces(os.getcwd()+"//images//", "hanxue.jpg") saveFaces(os.getcwd()+//images//gaoyuanyuan.jpg)