\u9996\u5148\u8981\u505a\u4e00\u4e2a\u81ea\u5df1\u7684\u6a21\u578b\uff0c\u5f55\u5165\u4eba\u8138\u540e\u8fdb\u884c\u8bad\u7ec3\u3002<\/p>\n\n\n\n
\u9996\u5148\u662f\u5f55\u5165\u82e5\u5e72\u4eba\u8138\u56fe\u50cf(faceImgWrite.py)\uff1a<\/p>\n\n\n\n
import cv2 as cv\nimport os\n\n\n# \u4eba\u8138\u56fe\u50cf\u4fdd\u5b58\u5904\uff0c\u6587\u4ef6\u5939\u7684\u8def\u5f84\nmyFacePath = os.path.join(os.path.dirname(__file__), 'src\/imwrite\/me')\n\n\ndef writePic():\n \"\"\"\n \u5199\u5165\u4eba\u8138\u6570\u636e\uff0c\u5e76\u505a\u6807\u8bb0\n :return: None \u4e0d\u8fd4\u56de\u4efb\u4f55\u503c\n \"\"\"\n num = 1 # \u8ba1\u6570\u53d8\u91cf\n cap = cv.VideoCapture(0) # \u6253\u5f00\u6444\u50cf\u5934\n while cap.isOpened(): # \u6444\u50cf\u5934\u6253\u5f00\u65f6\u59cb\u7ec8\u5faa\u73af\n \n flag, frame = cap.read() # flag: \u6709\u6ca1\u6709\u622a\u53d6\u5230\u56fe\u7247(bool); frame: \u622a\u53d6\u5230\u7684\u6bcf\u4e00\u5e27\u56fe\u7247\n\n cv.imshow('figure', frame) # \u5728\u540d\u4e3afigure\u7684\u7a97\u53e3\u91cc\u663e\u793a\u89c6\u9891\n \n k = cv.waitKey(1) & 0xFF # \u53d6\u6309\u952e\u7684ASCII\u503c\u540e8\u4f4d\uff0c\u964d\u5e72\u6270\uff08\uff1f\uff09\n if k == ord('s'): # \u6309 s \u4fdd\u5b58\u5f53\u524d\u56fe\u7247\u5e27\uff0c\u5e76\u7ed9\u4e2a\u63d0\u793a\n cv.imwrite(os.path.join(myFacePath, f'{num}.me.jpg'), frame)\n print(f'\u6210\u529f\u4fdd\u5b58{num}.me.jpg')\n num += 1\n elif k == ord('q'): # \u6309 q \u9000\u51fa\n break\n \n # \u91ca\u653e\u5185\u5b58\n cap.release()\n cv.destroyAllWindows()\n\n\nif __name__ == '__main__':\n writePic() # \u6267\u884c\u5f53\u524d\u6587\u4ef6\uff0c\u6d4b\u8bd5\u7684\u65f6\u5019\u7528\uff0c\u540e\u9762\u7701\u7565<\/code><\/pre>\n\n\n\n\u90e8\u5206\u4ee3\u7801\u8bf4\u660e<\/span><\/i><\/div>cap = cv.VideoCapture(0)<\/strong>
\u542f\u7528\u9ed8\u8ba4\u6444\u50cf\u5934\uff0cVedioCapture\u91cc\u53ef\u4ee5\u586b\u6444\u50cf\u5934\u8bbe\u5907\u7d22\u5f15\uff08\u9ed8\u8ba4\u4e3a0\uff09\uff0c\u4e5f\u53ef\u4ee5\u586b\u89c6\u9891\u8def\u5f84
\u7f51\u4e0a\u67e5\u627e\u8fc7\u5982\u4f55\u7f57\u5217\u51fa\u6240\u6709\u53ef\u7528\u7684\u7d22\u5f15\uff0c\u4f46\u662f\u6ca1\u6709\u80fd\u5728python3.8\u91cc\u4f7f\u7528\u7684\uff0c\u672a\u679c\u3002
cap.isOpened()<\/strong>
\u68c0\u67e5\u6444\u50cf\u5934\u662f\u5426\u6b63\u5e38\u5f00\u542f\u3002\u8fd4\u56de\u7684\u662f\u5e03\u5c14\u503c\u3002
flag, frame = cap.read()<\/strong>
read()\u5c06\u8fd4\u56de\u4e24\u4e2a\u503c\uff0c\u5176\u4e2d
flag\u2014\u2014\u6444\u50cf\u5934\u662f\u5426\u6b63\u5e38\u6355\u83b7\u5230\u56fe\u7247
frame\u2014\u2014\u6355\u83b7\u5230\u7684\u6bcf\u4e00\u5e27\u56fe\u7247
cv.imshow(<\/strong>‘figure’, frame)<\/strong>
\u65b0\u5efa\u7a97\u53e3\uff0c\u5c55\u793a\u56fe\u7247\/\u89c6\u9891\u6d41\uff0c\u7b2c\u4e00\u4e2a\u53c2\u6570\u4e3a\u7a97\u53e3\u540d\uff0c\u7b2c\u4e8c\u4e2a\u4e3a\u56fe\u7247\u6216\u56fe\u7247\u5e27\u3002
k = cv.waitKey(<\/strong>1) & 0xFF<\/strong>
\u7b49\u5f85\u6309\u4e0b\u952e\u76d8\u6309\u952e\u3002waitKey\u4e2d\u7684\u6570\u5b57\u4e3a\u5ef6\u8fdf\u65f6\u95f4\uff0c & 0xFF\u8868\u793a\u4e0e\u8fd0\u7b97<\/em>\uff0c\u8ba9\u6309\u952e\u4ee3\u8868\u7684ASCII\u4e8c\u8fdb\u5236\u503c\u4e0e1111 1111\u76f8\u4e0e\uff0c\u5f97\u5230\u540e8\u4f4d\u7684\u4e8c\u8fdb\u5236\u503c\u3002
cv.imwrite(<\/strong>os.path.join(myFacePath, f'{num}.me.jpg’), <\/strong>frame)<\/strong>
\u5c06\u56fe\u7247\u5199\u5165\u6307\u5b9a\u4f4d\u7f6e\uff0c\u5e76\u4fdd\u5b58\u3002\u7b2c\u4e00\u4e2a\u53c2\u6570\u4e3a\u56fe\u7247\u8def\u5f84\uff0c\u7b2c\u4e8c\u4e2a\u53c2\u6570\u4e3a\u56fe\u7247\u5e27\u3002<\/div><\/div>\n\n\n\n\u63a5\u4e0b\u6765\u4f7f\u7528\u4fdd\u5b58\u7684\u4eba\u8138\u56fe\u7247\u96c6\u505a\u8bad\u7ec3\uff08dataTraining.py)<\/p>\n\n\n\n
import cv2 as cv\nimport os\nfrom PIL import Image\nimport numpy as np\n\n\ndef getImgAndLabels(path):\n \"\"\"\n \u5bf9\u5df2\u4fdd\u5b58\u7684\u4eba\u8138\u56fe\u7247\u6837\u672c\u96c6\u8fdb\u884c\u6807\u8bb0\n :param path: \u56fe\u7247\u6837\u672c\u96c6\u6587\u4ef6\u5939\u8def\u5f84\n :return:\n \"\"\"\n\n # \u521b\u5efa\u7a7a\u5217\u8868\n facesSamples = []\n ids = []\n imagePaths = []\n\n # \u5c06\u6587\u4ef6\u5939\u91cc\u7684\u6240\u6709\u56fe\u7247\u7684\u8def\u5f84\u6574\u7406\u8fdb\u4e00\u4e2a\u5217\u8868\u91cc\n for f in os.listdir(path):\n imagePaths.append(os.path.join(path, f))\n\n # \u521b\u5efa\u5206\u7c7b\u5668\uff08opencv\u81ea\u5e26\uff09\n faceDetector = cv.CascadeClassifier('C:\\\\Users\\\\28264\\\\AppData\\\\Local\\\\Programs\\\\Python\\\\Python38\\\\Lib\\\\site-packages\\\\cv2\\\\data\\\\haarcascade_frontalface_default.xml')\n\n # \u5bf9\u6bcf\u5f20\u56fe\u7247\u90fd\u505a\u5904\u7406\n for imgPath in imagePaths:\n PILImg = Image.open(imgPath).convert('L')\n imgNumpy = np.array(PILImg, 'uint8')\n print(imgNumpy)\n faces = faceDetector.detectMultiScale(imgNumpy) # \u68c0\u6d4b\u4eba\u8138\uff0c\u4f7f\u7528\u9ed8\u8ba4\u53c2\u6570\uff0c\u8fd4\u56de\u4eba\u8138\u9009\u6846\u7684\u5de6\u4e0a\u89d2\u5750\u6807\u53ca\u957f\u5bbd\n\n id = int(os.path.split(imgPath)[1].split('.')[0]) # \u4ece\u56fe\u7247\u540d\u5b57\u4e2d\u5206\u79bb\u51fa\u56fe\u7247\u7d22\u5f15\n\n # \u5bf9\u6bcf\u5f20\u56fe\u7247\u90fd\u62bd\u51fa\u8bc6\u522b\u5230\u7684\u8138\u7684\u90e8\u5206\n for x, y, w, h in faces:\n ids.append(id)\n facesSamples.append(imgNumpy[y:y+h, x:x+w])\n print(id)\n return facesSamples, ids\n\ndef dataTraining():\n \"\"\"\n \u5c06\u91c7\u96c6\u5230\u7684\u4eba\u8138\u6570\u636e\u96c6\u7528\u4f5c\u8bad\u7ec3\n :return: None \u4e0d\u8fd4\u56de\u4efb\u4f55\u503c\n \"\"\"\n path = os.path.join(os.path.dirname(__file__), 'src\/imwrite\/me')\n faces, ids = getImgAndLabels(path)\n \n # \u521b\u5efaLBPH\u8bc6\u522b\u5668\uff0c\u4f7f\u7528LBPH\u505a\u8bad\u7ec3\uff0c\u5e76\u4fdd\u5b58\n recognizer = cv.face.LBPHFaceRecognizer_create() \n recognizer.train(faces, np.array(ids))\n recognizer.write('trainer.yml')\n<\/code><\/pre>\n\n\n\n
![](\"https:\/\/pic1.zhimg.com\/80\/v2-707264a4460c899736288d32c47daf6c_720w.webp\")