def main_test():
print('[INFO] 解析配置...')
parser = None
config = None
model_path = None
try:
args, parser = get_test_args()
config = process_config(args.config)
model_path = args.model
except Exception as e:
print('[Exception] 配置无效, %s' % e)
if parser:
parser.print_help()
print ('[Exception] 参考: python main_test.py -c configs/simple_mnist_config.json ' \
'-m simple_mnist.weights.10-0.24.hdf5')
exit(0)
# config = process_config('configs/simple_mnist_config.json')
np.random.seed(47) # 固定随机数
print('[INFO] 加载数据...')
dl = SimpleMnistDL()
test_data = np.expand_dims(dl.get_test_data()[0][0], axis=0)
test_label = np.argmax(dl.get_test_data()[1][0])
print('[INFO] 预测数据...')
# infer = SimpleMnistInfer("simple_mnist.weights.16-0.19.hdf5", config)
infer = SimpleMnistInfer(model_path, config)
infer_label = np.argmax(infer.predict(test_data))
print('[INFO] 真实Label: %s, 预测Label: %s' % (test_label, infer_label))
print('[INFO] 预测完成...')
def test_main():
print '[INFO] 解析配置...'
config = process_config('configs/simple_mnist_config.json')
print '[INFO] 加载数据...'
dl = DclLoader()
test_data = np.expand_dims(dl.get_test_data()[0][0], axis=0)
test_label = np.argmax(dl.get_test_data()[1][0])
print '[INFO] 预测数据...'
infer = SimpleMnistInfer("simple_mnist.weights.16-0.19.hdf5", config)
infer_label = np.argmax(infer.predict(test_data))
print '[INFO] 真实Label: %s, 预测Label: %s' % (test_label, infer_label)
print '[INFO] 预测完成...'