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(
