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}")
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}")