{"id":143,"date":"2025-09-03T13:50:50","date_gmt":"2025-09-03T05:50:50","guid":{"rendered":"https:\/\/www.lichengkun.com\/?p=143"},"modified":"2025-09-04T07:08:00","modified_gmt":"2025-09-03T23:08:00","slug":"%e6%a0%91%e8%8e%93%e6%b4%be%e4%ba%ba%e8%84%b8%e8%af%86%e5%88%ab%e5%9f%ba%e7%a1%80%e4%bd%bf%e7%94%a8","status":"publish","type":"post","link":"https:\/\/www.lichengkun.com\/index.php\/2025\/09\/03\/%e6%a0%91%e8%8e%93%e6%b4%be%e4%ba%ba%e8%84%b8%e8%af%86%e5%88%ab%e5%9f%ba%e7%a1%80%e4%bd%bf%e7%94%a8\/","title":{"rendered":"\u6811\u8393\u6d3e\u4eba\u8138\u8bc6\u522b\u57fa\u7840\u4f7f\u7528"},"content":{"rendered":"\n

1.\u6811\u8393\u6d3e\u7684\u62f7\u8d1d<\/h2>\n\n\n\n

\u5efa\u8bae\u4f7f\u7528\u6811\u8393\u6d3e\u5b98\u65b9\u62f7\u8d1d\u8f6f\u4ef6\uff1ahttps:\/\/www.raspberrypi.com\/software\/<\/a><\/p>\n\n\n\n

\"\"<\/div><\/figure>\n\n\n\n

\u4e0b\u597d\u5b98\u65b9\u8f6f\u4ef6\u4e4b\u540e\u5c31\u80fd\u4e00\u6b65\u4e00\u6b65\u70e7\u5f55\u4e86<\/h3>\n\n\n\n

\u76f8\u5e94\u7684\u6839\u636e\u7684\u4f60\u7684\u6811\u8393\u6d3e\u578b\u53f7\u9009\u62e9\uff0c\u7136\u540e\u70b9NEXT<\/p>\n\n\n\n

\"\"<\/div><\/figure>\n\n\n\n

\u9009\u62e9\u7f16\u8bd1\u8bbe\u7f6e<\/p>\n\n\n\n

\"\"<\/div><\/figure>\n\n\n\n

\u81ea\u5df1\u8bbe\u7f6e\u597d\u7528\u6237\u540d\uff0c\u5bc6\u7801\uff0c\u8981\u8fde\u7684\u70ed\u70b9\u548c\u5bc6\u7801<\/p>\n\n\n\n

\"\"<\/div><\/figure>\n\n\n\n

SSH\u534f\u8bae\u6253\u5f00\u8981\u4e0d\u7136\u8fde\u63a5\u4e0d\u4e0a<\/p>\n\n\n\n

\"\"<\/div><\/figure>\n\n\n\n

\u6700\u540e\u4e00\u4e2a\u8fd9\u6837\u8bbe\u7f6e<\/p>\n\n\n\n

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\u5f00\u59cb\u62f7\u5f55\uff0c\u65f6\u95f4\u53ef\u80fd\u6709\u70b9\u957f\uff0c\u8010\u5fc3\u7b49\u5f85\u3002<\/p>\n\n\n\n

\"\"<\/div><\/figure>\n\n\n\n

2.\u6811\u8393\u6d3e\u7684\u4e09\u79cd\u94fe\u63a5\uff08\u8981\u5904\u5728\u540c\u4e00\u7f51\u7edc\uff09<\/h2>\n\n\n\n

\uff081\uff09\u4f60\u53ef\u4ee5\u76f4\u63a5\u7528\u7ec8\u7aef\u94fe\u63a5\uff1a<\/p>\n\n\n\n

win+R\u8c03\u51fa\u7ec8\u7aef\u540e<\/p>\n\n\n\n

ssh \u7528\u6237\u540d@ip<\/p>\n\n\n\n

\u8f93\u5165\u5bc6\u7801\u540e\u5c31\u80fd\u94fe\u63a5\u4e0a<\/p>\n\n\n\n

\uff082\uff09\u7528 putty\u8fde\u63a5\u6811\u8393\u6d3e\uff1ahttps:\/\/www.chiark.greenend.org.uk\/~sgtatham\/putty\/latest.htm<\/a>\uff08putty\u7684\u4e0b\u8f7d\u5730\u5740\uff09<\/p>\n\n\n\n

\u8f93\u5165\u6811\u8393\u6d3e\u7684IP\uff0c\u8fdb\u5165\u7ec8\u7aef\u540e\uff0c\u8f93\u5165\u7528\u6237\u540d\u548c\u5bc6\u7801\u5c31\u8fde\u4e0a\u4e86<\/p>\n\n\n\n

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\uff083\uff09\u4f7f\u7528VNC\u8fdc\u7a0b\u684c\u9762\u767b\u5f55\u6811\u8393\u6d3e\uff1aDownload VNC Viewer by RealVNC\u00ae<\/a>\uff08VNC\u7684\u4e0b\u8f7d\u94fe\u63a5\uff09<\/p>\n\n\n\n

VNC\u7684\u4f7f\u7528\u8981\u5f00\u542f\u76f8\u5e94\u7684\u534f\u8bae\uff0c\u5f97\u5148\u7528\u524d\u4e24\u79cd\u65b9\u6cd5\u8fde\u4e0a\u6811\u8393\u6d3e\u540e\uff1a<\/p>\n\n\n\n

\u5728\u547d\u4ee4\u884c\u8f93\u5165\uff1asudo raspi-config\uff0c\u8fdb\u5165\u4e0b\u9762\u7684\u754c\u9762<\/code><\/pre>\n\n\n\n
\"\"<\/div><\/figure>\n\n\n\n
\uff081\uff09\u6253\u5f00VNC\uff1aInterfacing Options<\/code> -> VNC<\/code> -> Yes<\/code><\/p>\n\n\n\n
\uff082\uff09\u9000\u51fa\u56fe\u5f62\u5316\u754c\u9762\uff1a\uff08\u5de6\u53f3\u65b9\u5411\u952e\u9009\u62e9\uff09Finish<\/code><\/p>\n\n\n\n
\"\"<\/div><\/figure>\n\n\n\n
\u5b8c\u6210\u540e\u5c31\u80fd\u8fdc\u7a0b\u94fe\u63a5<\/p>\n\n\n\n
\u8f93\u5165IP\u5730\u5740<\/p>\n\n\n\n
\"\"<\/div><\/figure>\n\n\n\n
 \u8f93\u5165\u7528\u6237\u540d\u548c\u5bc6\u7801<\/p>\n\n\n\n
\"\"<\/div><\/figure>\n\n\n\n
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3.\u4eba\u8138\u8bc6\u522b\u7684\u9879\u76ee<\/h2>\n\n\n\n
\u5148\u5b89\u88c5opencv\u548c\u76f8\u5173\u62d3\u5c55\u548c\u4f9d\u8d56\uff0c\u4f1a\u975e\u5e38\u6162\uff0c\u5efa\u8bae\u6362\u6210\u6e05\u534e\u6e90<\/p>\n\n\n\n
sudo apt-get update && sudo apt-get upgrade
sudo apt-get install build-essential cmake pkg-config -y
sudo apt-get install libjpeg-dev libtiff5-dev libjasper-dev libpng-dev -y
sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev -y
sudo apt-get install libxvidcore-dev libx264-dev -y
sudo apt-get install libfontconfig1-dev libcairo2-dev -y
sudo apt-get install libgdk-pixbuf2.0-dev libpango1.0-dev -y
sudo apt-get install libgtk2.0-dev libgtk-3-dev -y
sudo apt-get install libatlas-base-dev gfortran -y
sudo apt-get install libhdf5-dev libhdf5-serial-dev libhdf5-103 -y
sudo apt-get install libqtgui4 libqtwebkit4 libqt4-test python3-pyqt5 -y<\/code><\/pre>\n\n\n\n
pip3 install numpy\uff08# \u5982\u679c\u7528pip3\u4e0b\u4e0d\u4e86\u53ef\u4ee5\u5728\u865a\u62df\u73af\u5883\u4e2d\u4e0b\uff0c\u6216\u8005\u7528\u4e0b\u9762\u7684\u6307\u4ee4\u5f3a\u5236\u5728\u7cfb\u7edf Python \u4e2d\u5b89\u88c5\npip3 install numpy --break-system-packages\n\uff09<\/code><\/pre>\n\n\n\n
pip3 install opencv-contrib-python==4.1.0.25\uff08\n# \u5982\u679c\u7528pip3\u4e0b\u4e0d\u4e86\u53ef\u4ee5\u5728\u865a\u62df\u73af\u5883\u4e2d\u4e0b\uff0c\u6216\u8005\u7528\u4e0b\u9762\u7684\u6307\u4ee4\u5f3a\u5236\u5728\u7cfb\u7edf Python \u4e2d\u5b89\u88c5 opencv-contrib-python\uff0c\u7ed5\u8fc7\u5916\u90e8\u7ba1\u7406\u9650\u5236\uff0c\npip3 install opencv-contrib-python --break-system-packages\uff09<\/code><\/pre>\n\n\n\n
\u4e0b\u9762\u5c31\u53ef\u4ee5\u5199\u4ee3\u7801\u4e86\uff1a<\/p>\n\n\n\n
1.\u8fd9\u4e00\u90e8\u5206\u662f\u6d4b\u8bd5\u4f60\u6444\u50cf\u5934\u7684\u4ee3\u7801<\/p>\n\n\n\n
\n
import numpy as np\nimport cv2\n \nfaceCascade = cv2.CascadeClassifier('Cascades\/haarcascade_frontalface_default.xml')\n \ncap = cv2.VideoCapture(0)\ncap.set(3,640) # set Width\ncap.set(4,480) # set Height\n \nwhile True:\n    ret, img = cap.read()\n    img = cv2.flip(img, -1)\n    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n    faces = faceCascade.detectMultiScale(\n        gray,     \n        scaleFactor=1.2,\n        minNeighbors=5,     \n        minSize=(20, 20)\n    )\n \n    for (x,y,w,h) in faces:\n        cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)\n        roi_gray = gray[y:y+h, x:x+w]\n        roi_color = img[y:y+h, x:x+w]  \n \n    cv2.imshow('video',img)\n \n    k = cv2.waitKey(30) & 0xff\n    if k == 27: # press 'ESC' to quit\n        break\n \ncap.release()\ncv2.destroyAllWindows()<\/code><\/pre>\n<\/div><\/div>\n\n\n\n
\u5176\u4e2dhaarcascade_frontalface_default.xml\u662f\u8981\u4f60\u4eceGitHub\u4e0a\u4e0b\u8f7d\u4e00\u4e2a\u540d\u4e3a\u201chaarcascade_frontalface_default.xml\u201d\u6a21\u578b\uff0c\u653e\u5728\u9879\u76ee\u6587\u4ef6\u91cc\u3002\u94fe\u63a5\u5982\u4e0b\uff1a https:\/\/github.com\/opencv\/opencv\/tree\/master\/data\/haarcascades<\/p>\n\n\n\n
\uff08\u8fd9\u4e2a\u94fe\u63a5\u8fd8\u5305\u62ec\u773c\u775b\u9f3b\u5b50\u7b49\u7b49\u7684\u8bad\u7ec3\u6a21\u578b\uff09<\/p>\n\n\n\n
2.\u4ece\u591a\u4e2a\u7528\u6237\u4e2d\u6355\u83b7\u591a\u4e2a\u4eba\u8138\u5e76\u5c06\u5176\u5b58\u50a8\u5728\u6570\u636e\u5e93\uff08\u6570\u636e\u96c6\u76ee\u5f55\uff09\u4e2d\uff0c\u4eba\u8138\u5c06\u5b58\u50a8\u5728\u76ee\u5f55\uff1adataset\/\uff08\u5982\u679c\u4e0d\u5b58\u5728\uff0c\u8bf7\u521b\u5efa\u5b83\uff09\uff0c\u6bcf\u4e2a\u4eba\u8138\u5c06\u6709\u4e00\u4e2a\u552f\u4e00\u7684\u6570\u5b57ID\uff0c\u59821\u30012\u30013\u7b49\u3002\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n\n\n\n
import cv2\nimport os\n \ncam = cv2.VideoCapture(0)\ncam.set(3, 640) # \u89c6\u9891\u7684\u5bbd\ncam.set(4, 480) # \u89c6\u9891\u7684\u957f\n \nface_detector = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')\n \n# \u5bf9\u4e8e\u6bcf\u4e2a\u4eba\uff0c\u8f93\u5165\u4e00\u4e2a\u6570\u5b57\u9762\u90e8 ID\nface_id = input('\\n enter user id end press <return> ==>  ')\n \nprint(\"\\n [INFO] Initializing face capture. Look the camera and wait ...\")\n# \u521d\u59cb\u5316\u4e2a\u4f53\u91c7\u6837\u9762\u6570\ncount = 0\n \nwhile(True):\n    ret, img = cam.read()\n    img = cv2.flip(img, -1) # \u5782\u76f4\u7ffb\u8f6c\u89c6\u9891\u56fe\u50cf\n    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n    faces = face_detector.detectMultiScale(gray, 1.3, 5)\n \n    for (x,y,w,h) in faces:\n        cv2.rectangle(img, (x,y), (x+w,y+h), (255,0,0), 2)     \n        count += 1\n \n        # \u5c06\u6355\u83b7\u7684\u56fe\u50cf\u4fdd\u5b58\u5230datasets\u6587\u4ef6\u5939\u4e2d\n        cv2.imwrite(\"dataset\/User.\" + str(face_id) + '.' + str(count) + \".jpg\", gray[y:y+h,x:x+w])\n \n        cv2.imshow('image', img)\n \n    k = cv2.waitKey(100) & 0xff # \u6309esc\u9000\u51fa\u89c6\u9891\n    if k == 27:\n        break\n    elif count >= 30: # \u91c7\u96c6 30 \u4e2a\u9762\u90e8\u6837\u672c\u5e76\u505c\u6b62\u89c6\u9891\n         break\n \n# \u505a\u6e05\u7406\nprint(\"\\n [INFO] Exiting Program and cleanup stuff\")\ncam.release()\ncv2.destroyAllWindows()<\/code><\/pre>\n\n\n\n
\u4f1a\u5728dataset\u8fd9\u4e2a\u6587\u4ef6\u5939\u91cc\u751f\u621030\u5f20\u56fe\u7247\u4fdd\u5b58\uff0c\u4f5c\u4e3a\u4e00\u4e2a\u6570\u636e\u56fe\u7247\u3002\u6bcf\u5f20\u56fe\u7247\u90fd\u4f1a\u53d8\u6210\u4eba\u8138\u8bc6\u522b\u90e8\u5206\uff0c\u8fd9\u91cc\u5c31\u4e0d\u5c55\u793a\u56fe\u7247\u4e86\u3002<\/p>\n\n\n\n
3.\u5fc5\u987b\u4ece\u6570\u636e\u96c6\u4e2d\u83b7\u53d6\u6240\u6709\u7528\u6237\u6570\u636e\u5e76\u201c\u8bad\u7ec3\u201dOpenCV \u8bc6\u522b\u5668\u3002\u8fd9\u662f\u7531\u7279\u5b9a\u7684 OpenCV \u51fd\u6570\u76f4\u63a5\u5b8c\u6210\u7684\u3002\u7ed3\u679c\u5c06\u662f\u4e00\u4e2a .yml \u6587\u4ef6\uff0c\u8be5\u6587\u4ef6\u5c06\u4fdd\u5b58\u5728\u201ctrainer\/\u201d\u76ee\u5f55\u4e2d\u3002\u6ce8\u610f\u786e\u8ba4\u4f60\u7684 Rpi \u4e0a\u662f\u5426\u5b89\u88c5\u4e86 PIL \u5e93\u3002\u5982\u679c\u6ca1\u6709\uff1apip install pillow\uff0c\u8bad\u7ec3\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n\n\n\n
import cv2\nimport numpy as np\nfrom PIL import Image\nimport os\n\n# Path for face image database\npath = 'dataset'\n\nrecognizer = cv2.face.LBPHFaceRecognizer_create()\nface_detector = cv2.CascadeClassifier(\"haarcascade_frontalface_default.xml\")\n\n# function to get the images and label data\ndef getImagesAndLabels(path):\n    imagePaths = [os.path.join(path,f) for f in os.listdir(path)]     \n    faceSamples=[]\n    ids = []\n\n    for imagePath in imagePaths:\n        # Load the image and convert it to grayscale\n        PIL_img = Image.open(imagePath).convert('L')\n        img_numpy = np.array(PIL_img,'uint8')\n\n        id = int(os.path.split(imagePath)[-1].split(\".\")[1])\n        faces = face_detector.detectMultiScale(img_numpy)\n\n        for (x,y,w,h) in faces:\n            faceSamples.append(img_numpy[y:y+h,x:x+w])\n            ids.append(id)\n\n    return faceSamples,ids\n\nprint (\"\\n [INFO] Training faces. It will take a few seconds. Wait ...\")\nfaces,ids = getImagesAndLabels(path)\nrecognizer.train(faces, np.array(ids))\n\n# Save the model into trainer\/trainer.yml\nif not os.path.exists('trainer'):\n    os.makedirs('trainer')\nrecognizer.write('trainer\/trainer.yml') \n\n# Print the number of faces trained and end the program\nprint(f\"\\n [INFO] {len(np.unique(ids))} faces trained. Exiting Program\")<\/code><\/pre>\n\n\n\n
4.\u5c31\u53ef\u4ee5\u6839\u636e\u8bad\u7ec3\u7684\u6765\u8bc6\u522b\u4e86\uff1a<\/p>\n\n\n\n
import cv2\nimport numpy as np\nimport os \n \n# \u52a0\u8f7d\u8bad\u7ec3\u597d\u7684 LBPH \u4eba\u8138\u8bc6\u522b\u5668\nrecognizer = cv2.face.LBPHFaceRecognizer_create()\nrecognizer.read('trainer\/trainer.yml')\n \n# \u52a0\u8f7d\u4eba\u8138\u68c0\u6d4b\u5668\ncascadePath = \"haarcascade_frontalface_default.xml\"\nfaceCascade = cv2.CascadeClassifier(cascadePath);\n \n# \u5b9a\u4e49\u5b57\u4f53\nfont = cv2.FONT_HERSHEY_SIMPLEX\n \n# \u521d\u59cb\u5316 ID \u8ba1\u6570\u5668\nid = 0\n \n# ID \u5bf9\u5e94\u7684\u540d\u5b57\uff0c\u4f8b\u5982\uff1aMarcelo \u7684 ID \u4e3a 1\uff0c\u5bf9\u5e94\u7684 names \u5217\u8868\u4e2d\u7684\u7b2c\u4e00\u4e2a\u5143\u7d20\uff0c\u4ee5\u6b64\u7c7b\u63a8\u3002\nnames = ['None', 'Marcelo', 'Paula', 'Ilza', 'Z', 'W'] \n \n# \u521d\u59cb\u5316\u5e76\u542f\u52a8\u5b9e\u65f6\u89c6\u9891\u91c7\u96c6\ncam = cv2.VideoCapture(0)\ncam.set(3, 640) # \u8bbe\u7f6e\u89c6\u9891\u5bbd\u5ea6\ncam.set(4, 480) # \u8bbe\u7f6e\u89c6\u9891\u9ad8\u5ea6\n \n# \u5b9a\u4e49\u6700\u5c0f\u7a97\u53e3\u5927\u5c0f\u4ee5\u88ab\u8bc6\u522b\u4e3a\u4eba\u8138\nminW = 0.1*cam.get(3)\nminH = 0.1*cam.get(4)\n \nwhile True:\n \n    ret, img =cam.read()\n     # \u5782\u76f4\u7ffb\u8f6c\u89c6\u9891\u56fe\u50cf\n    img = cv2.flip(img, -1)\n    img = cv2.flip(img, -1)\n \n    gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)\n \n    # \u4f7f\u7528\u4eba\u8138\u68c0\u6d4b\u5668\u68c0\u6d4b\u4eba\u8138\n    faces = faceCascade.detectMultiScale( \n        gray,\n        scaleFactor = 1.2,\n        minNeighbors = 5,\n        minSize = (int(minW), int(minH)),\n       )\n \n    for(x,y,w,h) in faces:\n \n        # \u5728\u56fe\u50cf\u4e0a\u7ed8\u5236\u77e9\u5f62\uff0c\u6807\u8bb0\u51fa\u4eba\u8138\u4f4d\u7f6e\n        cv2.rectangle(img, (x,y), (x+w,y+h), (0,255,0), 2)\n \n        # \u5bf9\u6bcf\u4e2a\u4eba\u8138\u8fdb\u884c\u8bc6\u522b\n        id, confidence = recognizer.predict(gray[y:y+h,x:x+w])\n \n        # \u5982\u679c\u7f6e\u4fe1\u5ea6\u5c0f\u4e8e100\uff0c\u5219\u8ba4\u4e3a\u8bc6\u522b\u6210\u529f\n        if (confidence < 100):\n            id = names[id] # \u83b7\u53d6 ID \u5bf9\u5e94\u7684\u540d\u5b57\n            confidence = \"  {0}%\".format(round(100 - confidence))\n        else:\n            id = \"unknown\"\n            confidence = \"  {0}%\".format(round(100 - confidence))\n        \n        # \u5728\u56fe\u50cf\u4e0a\u663e\u793a\u51fa\u8bc6\u522b\u7ed3\u679c\n        cv2.putText(img, str(id), (x+5,y-5), font, 1, (255,255,255), 2)\n        cv2.putText(img, str(confidence), (x+5,y+h-5), font, 1, (255,255,0), 1)  \n    \n    cv2.imshow('camera',img) \n \n    # \u6309\u4e0b ESC \u952e\u9000\u51fa\u7a0b\u5e8f\n    k = cv2.waitKey(10) & 0xff \n    if k == 27:\n        break\n \n# \u6e05\u7406\u8d44\u6e90\nprint(\"\\n [INFO] \u9000\u51fa\u7a0b\u5e8f\u5e76\u6e05\u7406\u8d44\u6e90\")\ncam.release()\ncv2.destroyAllWindows()<\/code><\/pre>\n\n\n\n
\u6548\u679c\u5982\u4e0b\uff1a<\/p>\n\n\n\n
\"\"<\/div><\/figure>\n\n\n\n
\u4f60\u8981\u5f62\u6210\u7684\u4ee3\u7801\u7ed3\u6784\u5982\u4e0b\uff1a<\/p>\n\n\n\n
\"\"<\/div><\/figure>\n\n\n\n
\u4ece\u672c\u5730\u5411\u6811\u8393\u6d3e\u91cc\u4f20\u8f93\u6587\u4ef6\u6216\u6587\u4ef6\u5939\u7684\u8bdd\u7528scp<\/p>\n\n\n\n
scp \u8981\u4f20\u8f93\u7684\u6587\u4ef6\u8def\u5f84  \u7528\u6237\u540d@IP\uff1a\u8981\u4f20\u5165\u6811\u8393\u6d3e\u7684\u5730\u65b9\u8def\u5f84<\/p>\n\n\n\n
scp -r \u8981\u4f20\u8f93\u7684\u6587\u4ef6\u5939\u8def\u5f84  \u7528\u6237\u540d@IP\uff1a\u8981\u4f20\u5165\u6811\u8393\u6d3e\u7684\u5730\u65b9\u8def\u5f84<\/p>\n\n\n\n
\u8bed\u97f3\u90e8\u5206\uff1a<\/p>\n\n\n\n
sudo apt-get update <\/code><\/pre>\n\n\n\n
sudo apt-get install espeak <\/code><\/pre>\n\n\n\n
sudo apt-get install speech-dispatcher<\/code><\/pre>\n\n\n\n
pip uninstall pyttsx3 pip install pyttsx3==2.71 # \u5c1d\u8bd5\u7279\u5b9a\u7248\u672c<\/code><\/pre>\n\n\n\n
\u4e0a\u9762\u7684\u547d\u4ee4\u53ef\u80fd\u4f1a\u62a5\u9519\uff0c\u5b89\u4e0d\u4e86\u7684\u8bdd\u53c2\u8003\u4e4b\u524d\u7684\u865a\u62df\u73af\u5883\u5b89\u88c5\u6216\u8005\u5f3a\u5236\u5b89\u88c5<\/p>\n\n\n\n
espeak --voices # \u67e5\u770bespeak\u53ef\u7528\u8bed\u97f3<\/code><\/pre>\n\n\n\n
\u6839\u636e\u6709\u7684\u8bed\u97f3ID\u5199\u4ee3\u7801\uff08\u5efa\u8bae\u7528\u82f1\u6587\uff0c\u56e0\u4e3a\u6700\u7b80\u5355\uff09
 # \u6d4b\u8bd5\u82f1\u5f0f\u82f1\u8bed\uff08\u548c\u4ee3\u7801\u4e2d\u4e00\u81f4\uff09 <\/p>\n\n\n\n
espeak -v en-gb “Welcome, Marcelo. Warning: Unknown person detected”<\/p>\n\n\n\n
\u76f8\u5173\u4e86\u4eba\u8138\u8bc6\u522b\u548c\u8bed\u97f3\u64ad\u62a5\u7ed3\u5408\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n\n\n\n
import cv2\nimport numpy as np\nimport os \nimport pyttsx3\n\n# -------------------------- 1. \u521d\u59cb\u5316\u82f1\u6587\u8bed\u97f3\u5f15\u64ce\uff08\u5173\u952e\uff1a\u6307\u5b9a\u7cfb\u7edf\u5b58\u5728\u7684\u82f1\u6587\u8bed\u97f3\uff09 --------------------------\n# \u4ec5\u521d\u59cb\u53161\u6b21\uff0c\u907f\u514d\u5faa\u73af\u4e2d\u9891\u7e41\u8c03\u7528\u5bfc\u81f4\u8d44\u6e90\u5360\u7528\nengine = pyttsx3.init(driverName='espeak')\n\n# \u9009\u62e9\u82f1\u6587\u8bed\u97f3\uff08\u4e8c\u9009\u4e00\uff0c\u5747\u6765\u81ea\u4f60 espeak --voices \u5217\u8868\uff09\n# \u9009\u98791\uff1a\u82f1\u5f0f\u82f1\u8bed\uff08en-gb\uff0c\u63a8\u8350\uff0c\u53d1\u97f3\u66f4\u6e05\u6670\uff09\nengine.setProperty('voice', 'en-gb')  \n# \u9009\u98792\uff1a\u7f8e\u5f0f\u82f1\u8bed\uff08en-us\uff0c\u82e5\u504f\u597d\u7f8e\u5f0f\u53d1\u97f3\u53ef\u5207\u6362\uff09\n# engine.setProperty('voice', 'en-us')\n\n# \u4f18\u5316\u8bed\u97f3\u53c2\u6570\uff08\u9002\u914d\u6811\u8393\u6d3e\uff09\nengine.setProperty('rate', 140)  # \u8bed\u901f\uff08120-150\u4e3a\u5b9c\uff0c\u907f\u514d\u8fc7\u5feb\uff09\nengine.setProperty('volume', 0.8)  # \u97f3\u91cf\uff080.0-1.0\uff0c\u907f\u514d\u8fc7\u5c0f\uff09\n\n# -------------------------- 2. \u4eba\u8138\u68c0\u6d4b\u57fa\u7840\u914d\u7f6e --------------------------\n# \u52a0\u8f7d\u8bad\u7ec3\u597d\u7684\u4eba\u8138\u6a21\u578b\uff08\u786e\u4fdd trainer.yml \u8def\u5f84\u6b63\u786e\uff09\nrecognizer = cv2.face.LBPHFaceRecognizer_create()\n# \u82e5\u62a5\u9519\"trainer\/trainer.yml not found\"\uff0c\u5148\u521b\u5efa\u6587\u4ef6\u5939\uff1amkdir -p trainer\nrecognizer.read('trainer\/trainer.yml')\n\n# \u52a0\u8f7d\u4eba\u8138\u68c0\u6d4b\u5206\u7c7b\u5668\uff08\u6811\u8393\u6d3e\u9ed8\u8ba4\u8def\u5f84\uff0c\u907f\u514d\u6587\u4ef6\u7f3a\u5931\uff09\ncascadePath = \"\/usr\/share\/opencv4\/haarcascades\/haarcascade_frontalface_default.xml\"\nfaceCascade = cv2.CascadeClassifier(cascadePath)\n\n# \u914d\u7f6e\u663e\u793a\u5b57\u4f53\nfont = cv2.FONT_HERSHEY_SIMPLEX\nid = 0  # \u521d\u59cb\u5316\u8bc6\u522bID\n\n# \u5df2\u6ce8\u518c\u7528\u6237\u5217\u8868\uff08\u82f1\u6587\u540d\u79f0\uff0c\u4e0e\u8bad\u7ec3\u6a21\u578b\u7684ID\u5bf9\u5e94\uff09\n# \u6ce8\u610f\uff1a\u987a\u5e8f\u9700\u548c\u4f60\u8bad\u7ec3\u4eba\u8138\u65f6\u7684\u7528\u6237ID\u4e00\u81f4\uff08\u5982ID=1\u5bf9\u5e94Marcelo\uff09\nnames = ['Unknown', 'Marcelo', 'Paula', 'Ilza', 'Zack', 'Will'] \n\n# -------------------------- 3. \u9632\u91cd\u590d\u64ad\u62a5\u673a\u5236\uff08\u907f\u514d\u5faa\u73af\u4e2d\u9891\u7e41\u64ad\u62a5\uff09 --------------------------\nlast_recognized = \"Unknown\"  # \u4e0a\u4e00\u6b21\u8bc6\u522b\u7ed3\u679c\nspeak_cooldown = 30  # \u51b7\u5374\u65f6\u95f4\uff08\u5355\u4f4d\uff1a\u5e27\uff0c\u6811\u8393\u6d3e1\u79d2\u224830\u5e27\uff0c\u53731\u79d2\u5185\u53ea\u64ad\u62a51\u6b21\uff09\ncooldown_counter = 0  # \u51b7\u5374\u8ba1\u6570\u5668\n\n# -------------------------- 4. \u521d\u59cb\u5316\u6444\u50cf\u5934 --------------------------\n# \u6811\u8393\u6d3eUSB\u6444\u50cf\u5934\u75280\uff0cCSI\u6444\u50cf\u5934\u75281\uff08\u6839\u636e\u5b9e\u9645\u786c\u4ef6\u8c03\u6574\uff09\ncam = cv2.VideoCapture(0)\ncam.set(3, 640)  # \u6444\u50cf\u5934\u5bbd\u5ea6\ncam.set(4, 480)  # \u6444\u50cf\u5934\u9ad8\u5ea6\n\n# \u6700\u5c0f\u4eba\u8138\u5c3a\u5bf8\uff08\u907f\u514d\u68c0\u6d4b\u8fc7\u5c0f\u7684\u65e0\u6548\u533a\u57df\uff09\nminW = 0.1 * cam.get(3)\nminH = 0.1 * cam.get(4)\n\n# -------------------------- 5. \u4e3b\u5faa\u73af\uff08\u4eba\u8138\u68c0\u6d4b+\u82f1\u6587\u8bed\u97f3\u64ad\u62a5\uff09 --------------------------\nprint(\"Face Recognition Started. Press ESC to exit.\")\nwhile True:\n    ret, img = cam.read()\n    if not ret:  # \u9632\u6b62\u6444\u50cf\u5934\u672a\u8fde\u63a5\u5bfc\u81f4\u5d29\u6e83\n        print(\"Error: Could not read frame from camera.\")\n        break\n\n    # \u7ffb\u8f6c\u753b\u9762\uff08\u786e\u4fdd\u663e\u793a\u65b9\u5411\u6b63\u786e\uff0c\u53ef\u6839\u636e\u5b9e\u9645\u60c5\u51b5\u8c03\u6574\uff09\n    img = cv2.flip(img, -1)\n    # \u8f6c\u4e3a\u7070\u5ea6\u56fe\uff08\u4eba\u8138\u68c0\u6d4b\u9700\u7070\u5ea6\u56fe\uff0c\u964d\u4f4e\u8ba1\u7b97\u91cf\uff09\n    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n\n    # \u68c0\u6d4b\u753b\u9762\u4e2d\u7684\u4eba\u8138\n    faces = faceCascade.detectMultiScale(\n        gray,\n        scaleFactor=1.2,  # \u68c0\u6d4b\u7f29\u653e\u56e0\u5b50\uff08\u907f\u514d\u6f0f\u68c0\uff09\n        minNeighbors=5,   # \u6700\u5c0f\u90bb\u57df\u6570\uff08\u8fc7\u6ee4\u8bef\u68c0\uff09\n        minSize=(int(minW), int(minH))  # \u6700\u5c0f\u4eba\u8138\u5c3a\u5bf8\n    )\n\n    # \u51b7\u5374\u8ba1\u6570\u5668\u9012\u51cf\uff08\u6bcf\u5e27\u51cf1\uff0c\u76f4\u52300\uff09\n    if cooldown_counter > 0:\n        cooldown_counter -= 1\n\n    # \u5904\u7406\u6bcf\u4e2a\u68c0\u6d4b\u5230\u7684\u4eba\u8138\n    for (x, y, w, h) in faces:\n        # \u7ed8\u5236\u4eba\u8138\u6846\uff08\u7eff\u8272\uff0c\u7ebf\u5bbd2\uff09\n        cv2.rectangle(img, (x, y), (x + w, y + h), (0, 255, 0), 2)\n\n        # \u8bc6\u522b\u4eba\u8138\uff08\u8fd4\u56deID\u548c\u7f6e\u4fe1\u5ea6\uff0c\u7f6e\u4fe1\u5ea6\u8d8a\u4f4e\u5339\u914d\u8d8a\u51c6\uff09\n        id, confidence = recognizer.predict(gray[y:y + h, x:x + w])\n\n        # \u5224\u65ad\u8bc6\u522b\u7ed3\u679c\uff1a\u7f6e\u4fe1\u5ea6<100\u4e3a\u5df2\u6ce8\u518c\u7528\u6237\uff0c\u5426\u5219\u4e3a\u964c\u751f\u4eba\n        if confidence < 100:\n            recognized_name = names[id]\n            # \u8ba1\u7b97\u5339\u914d\u51c6\u786e\u7387\uff08100 - \u7f6e\u4fe1\u5ea6\uff09\n            confidence_text = f\"  {round(100 - confidence)}% Match\"\n        else:\n            recognized_name = \"Unknown\"  # \u672a\u6ce8\u518c\u7528\u6237\uff08\u964c\u751f\u4eba\uff09\n            confidence_text = f\"  {round(100 - confidence)}% Match\"\n\n        # -------------------------- \u82f1\u6587\u8bed\u97f3\u64ad\u62a5\uff08\u51b7\u5374\u671f\u5916+\u7ed3\u679c\u53d8\u5316\u65f6\u89e6\u53d1\uff09 --------------------------\n        if cooldown_counter == 0 and recognized_name != last_recognized:\n            if recognized_name == \"Unknown\":\n                engine.say(\"Warning: Unknown person detected\")  # \u964c\u751f\u4eba\u64ad\u62a5\n            else:\n                engine.say(f\"Welcome, {recognized_name}\")  # \u5df2\u6ce8\u518c\u7528\u6237\u64ad\u62a5\n            engine.runAndWait()  # \u6267\u884c\u64ad\u62a5\n            last_recognized = recognized_name  # \u66f4\u65b0\u4e0a\u4e00\u6b21\u8bc6\u522b\u7ed3\u679c\n            cooldown_counter = speak_cooldown  # \u542f\u52a8\u51b7\u5374\uff0c\u907f\u514d\u91cd\u590d\u64ad\u62a5\n\n        # \u5728\u753b\u9762\u4e0a\u663e\u793a\u8bc6\u522b\u7ed3\u679c\uff08\u59d3\u540d\u548c\u51c6\u786e\u7387\uff09\n        cv2.putText(img, recognized_name, (x + 5, y - 5), font, 1, (255, 255, 255), 2)\n        cv2.putText(img, confidence_text, (x + 5, y + h - 5), font, 1, (255, 255, 0), 1)\n\n    # \u663e\u793a\u5b9e\u65f6\u753b\u9762\n    cv2.imshow('Face Recognition Camera', img)\n\n    # \u6309ESC\u952e\u9000\u51fa\uff08\u7b49\u5f8510ms\u5237\u65b0\u753b\u9762\uff09\n    k = cv2.waitKey(10) & 0xff\n    if k == 27:\n        break\n\n# -------------------------- 6. \u91ca\u653e\u8d44\u6e90\uff08\u907f\u514d\u5185\u5b58\u6cc4\u6f0f\uff09 --------------------------\nprint(\"\\n[INFO] Exiting program. Releasing resources...\")\ncam.release()  # \u91ca\u653e\u6444\u50cf\u5934\ncv2.destroyAllWindows()  # \u5173\u95ed\u6240\u6709\u7a97\u53e3\nengine.stop()  # \u505c\u6b62\u8bed\u97f3\u5f15\u64ce<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"
1.\u6811\u8393\u6d3e\u7684\u62f7\u8d1d \u5efa\u8bae\u4f7f\u7528\u6811\u8393\u6d3e\u5b98\u65b9\u62f7\u8d1d\u8f6f\u4ef6\uff1ahttps:\/\/www.raspberrypi.com\/soft […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-143","post","type-post","status-publish","format-standard","hentry","category-1"],"_links":{"self":[{"href":"https:\/\/www.lichengkun.com\/index.php\/wp-json\/wp\/v2\/posts\/143","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.lichengkun.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.lichengkun.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.lichengkun.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.lichengkun.com\/index.php\/wp-json\/wp\/v2\/comments?post=143"}],"version-history":[{"count":2,"href":"https:\/\/www.lichengkun.com\/index.php\/wp-json\/wp\/v2\/posts\/143\/revisions"}],"predecessor-version":[{"id":164,"href":"https:\/\/www.lichengkun.com\/index.php\/wp-json\/wp\/v2\/posts\/143\/revisions\/164"}],"wp:attachment":[{"href":"https:\/\/www.lichengkun.com\/index.php\/wp-json\/wp\/v2\/media?parent=143"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.lichengkun.com\/index.php\/wp-json\/wp\/v2\/categories?post=143"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.lichengkun.com\/index.php\/wp-json\/wp\/v2\/tags?post=143"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}