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}")
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}")
