face_landmarks人脸关键点检测详解

1  face_recognition.api.face_landmarks(face_image, face_locations=None, model='large')

   参数:

（1）face_image -要搜索的图像

（2）face_locations——可选地提供要检查的脸部位置列表。

（3）模型-可选-使用哪个模型。“大”(默认)或“小”。

        “小” ：只返回5点，但更快。

2  face_landmarks(face_image, face_locations=None, model="large")

from PIL import Image, ImageDrawimport face_recognitiondef get_face_features(img_path):    # 将jpg文件加载到numpy 数组中    image = face_recognition.load_image_file(img_path)    # 查找图像中所有面部的所有面部特征    face_landmarks_list = face_recognition.face_landmarks(image, model='large')    print("I found {} face(s) in this photograph.".format(len(face_landmarks_list)))    # 输出第一个人脸的面部特征信息    print(face_landmarks_list[0]["chin"])    print(face_landmarks_list[0]["left_eyebrow"])    print(face_landmarks_list[0]["right_eyebrow"])    print(face_landmarks_list[0]["nose_bridge"])    print(face_landmarks_list[0]["nose_tip"])    print(face_landmarks_list[0]["left_eye"])    print(face_landmarks_list[0]["right_eye"])    print(face_landmarks_list[0]["top_lip"])    print(face_landmarks_list[0]["bottom_lip"])    pil_image = Image.fromarray(image)    d = ImageDraw.Draw(pil_image)    for face_landmarks in face_landmarks_list:        facial_features = [            'chin',            'left_eyebrow',            'right_eyebrow',            'nose_bridge',            'nose_tip',            'left_eye',            'right_eye',            'top_lip',            'bottom_lip'        ]        for facial_feature in facial_features:            d.line(face_landmarks[facial_feature], width=5)            pass        pass    del d    pil_image.show()    pass if __name__ == '__main__':    get_face_features("0.jpg")    pass

结果如下所示：

第一个人脸的特征 信息 ：

第二个人脸的特征信息：

3   face_recognition .face_landmarks(image, model='small')

from PIL import Image, ImageDrawimport face_recognitiondef get_face_features(img_path):    # 将jpg文件加载到numpy 数组中    image = face_recognition.load_image_file(img_path)    # 查找图像中所有面部的所有面部特征    face_landmarks_list = face_recognition.face_landmarks(image, model='small')    print("I found {} face(s) in this photograph.".format(len(face_landmarks_list)))    print(face_landmarks_list[0]["nose_tip"])    print(face_landmarks_list[0]["left_eye"])    print(face_landmarks_list[0]["right_eye"])    pil_image = Image.fromarray(image)    d = ImageDraw.Draw(pil_image)    for face_landmarks in face_landmarks_list:        facial_features = [            'nose_tip',            'left_eye',            'right_eye',        ]        for facial_feature in facial_features:            d.line(face_landmarks[facial_feature], width=5)            pass        pass    del d    pil_image.show()    pass if __name__ == '__main__':    get_face_features("0.jpg")    pass

结果如下所示：

免责声明：本文系网络转载或改编，未找到原创作者，版权归原作者所有。如涉及版权，请联系删