- 官网文档翻译
- 这个例子展示如何找到人的正脸，并且估计它的姿态。这个姿态由68个标点描述。人脸上会被标记很多点，例如嘴的边角，沿着眉毛，眼睛上等等。
- 我们使用的Face detector是使用经典的HOG特征，结合线性分类器、图像金字塔和滑动窗口检测的算法。姿态估计器的建立是基于下文：One Millisecond Face Alignment with an Ensemble of Regression Trees by Vahid Kazemi and Josephine Sullivan, 并且在iBUG 300-W face landmark dataset进行训练。
# -*-coding:utf-8-*-#author: lyp time: 2018/9/10import sysimport osimport dlibimport glob# 本例子要求你在cmd中输入两个参数# 参数一是68点文件的路径，传给predictor_path# 参数二是要检测的图片的路径，传给face_folder_path# Windows这个方式不太友好，一直提醒没有dlib模块。if len(sys.argv) != 3: print( "Give the path to the trained shape predictor model as the first " "argument and then the directory containing the facial images.\n" "For example, if you are in the python_examples folder then " "execute this program by running:\n" " ./face_landmark_detection.py shape_predictor_68_face_landmarks.dat ../examples/faces\n" "You can download a trained facial shape predictor from:\n" " http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2") exit()# 输入的路径传给对应参数predictor_path = sys.argv[1]faces_folder_path = sys.argv[2]detector = dlib.get_frontal_face_detector() # 人脸检测器的生成predictor = dlib.shape_predictor(predictor_path) # 特征点提取器的生成win = dlib.image_window() # dlib提供的图片窗口# 获取指定文件路径下的所有.jpg文件，'*'是通配符for f in glob.glob(os.path.join(faces_folder_path, "*.jpg")): print("Processing file: {}".format(f)) img = dlib.load_rgb_image(f) win.clear_overlay() win.set_image(img) # Ask the detector to find the bounding boxes of each face. The 1 in the # second argument indicates that we should upsample the image 1 time. This # will make everything bigger and allow us to detect more faces. # 将图像进行向上采样一倍 dets = detector(img, 1) print("Number of faces detected: {}".format(len(dets))) # 使用enumerate函数遍历dets中元素 for k, d in enumerate(dets): print("Detection {}: Left: {} Top: {} Right: {} Bottom: {}".format( k, d.left(), d.top(), d.right(), d.bottom())) # Get the landmarks/parts for the face in box d. shape = predictor(img, d) print("Part 0: {}, Part 1: {} ...".format(shape.part(0), shape.part(1))) # Draw the face landmarks on the screen. win.add_overlay(shape) win.add_overlay(dets) dlib.hit_enter_to_continue()