{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 引入人臉識別庫dlib\n",
    "import dlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 引入影象處理庫OpenCV、imutils\n",
    "import cv2\n",
    "from imutils import face_utils"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "imagePath = \"data/image/men.jpg\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 使用dlib庫提供的人臉提取器\n",
    "detector = dlib.get_frontal_face_detector()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 使用官方提供的模型構建特徵提取器\n",
    "predictor = dlib.shape_predictor(\"data/dlib/landmarks.dat\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "img = cv2.imread(imagePath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 轉成灰度圖\n",
    "gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 返回臉的資訊\n",
    "faces = detector(gray)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# loop over the face detections\n",
    "for face in faces:\n",
    "    \n",
    "    # 標記人臉中的68個特徵點\n",
    "    shape = predictor(gray, face)\n",
    "    \n",
    "    # shape轉換成68個坐標點矩陣\n",
    "    shape = face_utils.shape_to_np(shape)\n",
    "\n",
    "    # 繪製圖形標誌\n",
    "    for (x, y) in shape:\n",
    "        cv2.circle(img, (x, y), 1, (0, 0, 255), -1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cv2.imshow(\"Face landmark found\" ,img)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  }
 ],
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