Python FaceRecognition.load_saved_model примеры использования

Пример #1

Файл: main.py Проект: iamatulsingh/Face_Recognition_Tensorflow

import os
from face_recognition import FaceRecognition

if __name__ == '__main__':
    model_path = "model"
    image_path = 'test.jpg'
    face_recognition = FaceRecognition()
    face_recognition.training()
    face_recognition.save_model(model_name)
    model = FaceRecognition.load_saved_model(model_path)
    k = FaceRecognition.model_prediction(image_path, model_path)
    print(f"detected class is {k}")

Пример #2

Файл: main (1).py Проект: mindset-tt/face_detect

import os
from face_recognition import FaceRecognition

if __name__ == '__main__':
    model_name = "face_recognition.h5"
    image_path = 'test.jpg'
    face_recognition = FaceRecognition()
    face_recognition.training()
    face_recognition.save_model(model_name)
    model = FaceRecognition.load_saved_model(os.path.join("model", model_name))
    k = FaceRecognition.model_prediction(
        image_path, os.path.join("model", model_name),
        os.path.join("model", "face_recognition_class_names.npy"))
    print(f"detected class is {k}")