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30 lines
714 B
30 lines
714 B
2 years ago
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import torch
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import os
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import config
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from utils import *
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import tensorflow.keras as keras
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from keras.models import load_model
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from keras.preprocessing import image
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import matplotlib.pyplot as plt
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train_data, train_ans, test_data, test_ans = load_data()
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print('Using loaded model to predict...')
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model = load_model('model.h5')
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np.set_printoptions(precision=4)
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# test
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print("Test network")
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pred = model.predict(test_data,batch_size=BatchSize)
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pred = pred.reshape((200,))
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print(np.abs(pred-test_ans).shape)
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print(test_ans.shape)
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acc = np.mean(np.abs(pred-test_ans) < 1000)
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print(pred.shape)
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print('Prediction Accuracy: %.2f%%' % (acc*100))
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model.save('./weights/model.h5')
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print("Model summary")
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model.summary()
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