plugin_config = "./config/config.json" type_of_data = "multi" dataprocessor = DataProcessor(plugin_config, base_model_name="v1", model_name="v1", image_dir="v1") dataprocessor.execute() dataprocessor.preproc_train() writer_multi = tf.python_io.TFRecordWriter( dataprocessor.tfrecords_filename_multi_train) dataprocessor._get_valtrain_mul_data(writer_multi) writer_multi = tf.python_io.TFRecordWriter( dataprocessor.tfrecords_filename_multi_test) dataprocessor._get_valtest_mul_data(writer_multi) writer_multi = tf.python_io.TFRecordWriter( dataprocessor.tfrecords_filename_multi_final_test) dataprocessor.preproc_test(writer_multi) dataprocessor = DataProcessor(plugin_config, base_model_name="v1", model_name="v2", image_dir="v2") dataprocessor.execute() # dataprocessor.preproc_train_v2() writer_multi = tf.python_io.TFRecordWriter( dataprocessor.tfrecords_filename_multi_train) dataprocessor.get_valtrain_data_v2(writer_multi) writer_multi = tf.python_io.TFRecordWriter(