Package: auto-face-recognition
auto_face_recognitionLast Upadted: 19 November, 2020What is auto_face_recognition?PrerequisiteGetting Started- How to use it?Future?1. What is auto_face_recognition?It is a python library for the Face Recognition. This library make face recognition easy and simple. This library uses Tensorflow 2.0+ for the face recognition and model training.2. Prerequisite-To use it only Python (> 3.6) is required.Recommended Python < 3.93. Getting Started (How to use it)-Install the latest version-pip install auto_face_recognitionIt will install all the required package automatically, including Tensorflow Latest.Usage and Features-After installing the library you can import the module-Object Creation-import auto_face_recognition
obj = auto_face_recognition.AutoFaceRecognition()Dataset Creation-obj.datasetcreate(haarcascade_path='haarcascade/haarcascade_frontalface_default.xml',  
 	    	                  eyecascade_path='haarcascade/haarcascade_eye.xml')Note:You need to pass the 'haarcascade_frontalface_default.xml' and 'haarcascade_eye.xml' path.Model Training-obj.face_recognition_train()Predict Faces-# Real Time
 obj.predict_faces()
 # Single Face Recofnition
 obj.predict_face()Parameters You Can Choose-datasetcreatedatasetcreate(dataset_path='datasets', class_name='Demo',  
                  haarcascade_path='haarcascade/haarcascade_frontalface_default.xml',  
                  eyecascade_path='haarcascade/haarcascade_eye.xml', eye_detect=False,  
                  save_face_only=True, no_of_samples=100,  
                  width=128, height=128, color_mode=False)
""""                  
Dataset Create by face detection  
:param dataset_path: str (example: 'folder_of_dataset')
:param class_name: str (example: 'folder_of_dataset')
:param haarcascade_path: str (example: 'haarcascade_frontalface_default.xml)
:param eyecascade_path: str (example: 'haarcascade_eye.xml):param eye_detect: bool (example:True)
:param save_face_only: bool (example:True)
:param no_of_samples: int (example: 100)
:param width: int (example: 128)
:param height: int (example: 128)
:param color_mode: bool (example:False):return: None
"""face_recognition_trainface_recognition_train(data_dir='datasets', batch_size=32, img_height=128, img_width=128, epochs=10, model_path='model', pretrained=None, base_model_trainable=False):  
 """  
 Train TF Keras model according to dataset path  
 :param data_dir: str (example: 'folder_of_dataset')  
 :param batch_size: int (example:32)  
 :param img_height: int (example:128)  
 :param img_width: int (example:128)  
 :param epochs: int (example:10)  
 :param model_path: str (example: 'model')  
 :param pretrained: str (example: None, 'VGG16', 'ResNet50' or 'InceptionV3')
 :param base_model_trainable: bool (example: False (Enable if you want to train the pretrained model's layer))
 :return: None  
 """predict_facespredict_faces(self, class_name=None, img_height=128, img_width=128,  
              haarcascade_path='haarcascade/haarcascade_frontalface_default.xml',  
              eyecascade_path='haarcascade/haarcascade_eye.xml', model_path='model',  
              color_mode=False):  
 """  
 Predict Face  
 :param class_name: Type-List (example: ['class1', 'class2'] )  
 :param img_height: int (example:128)  
 :param img_width: int (example:128)  
 :param haarcascade_path: str (example: 'haarcascade_frontalface_default.xml)  
 :param eyecascade_path: str (example: 'haarcascade_eye.xml)  
 :param model_path: str (example: 'model')  
 :param color_mode: bool (example: False)  
 :return: None  
 """predict_facepredict_face(self, class_name=None, img_height=128, img_width=128,  
                 haarcascade_path='haarcascade/haarcascade_frontalface_default.xml',  
                 eyecascade_path='haarcascade/haarcascade_eye.xml', model_path='model',  
                 color_mode=False, image_path='tmp.png'):  
  """  
  Predict Face  
 :param class_name: Type-List (example: ['class1', 'class2'] )  
 :param img_height: int (example:128)  
 :param img_width: int (example:128)  
 :param haarcascade_path: str (example: 'haarcascade_frontalface_default.xml)  
 :param eyecascade_path: str (example: 'haarcascade_eye.xml)  
 :param model_path: str (example: 'model')  
 :param color_mode: bool (example: False)  
 :param image_path: str (example: 'src/image_predict.png'  
 :return: None  
 """4. Future?Finetuning with Resnet and others.
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