Loading infer_qcds_01.py +9 −3 Original line number Original line Diff line number Diff line Loading @@ -345,9 +345,15 @@ with tf.Session() as sess: """ """ image_data[nimg] = None image_data[nimg] = None # is this needed? why would it be? """ #meta_graph_def = tf.train.export_meta_graph(files["inference"]+'.meta') Save MetaGraph to Saved_Model in *.pb (protocol buffer) format to be able to use from Java """ # force clean shutil.rmtree(dirs['exportdir'], ignore_errors=True) builder = tf.saved_model.builder.SavedModelBuilder(dirs['exportdir']) builder.add_meta_graph_and_variables(sess,[tf.saved_model.tag_constants.SERVING],main_op=tf.local_variables_initializer()) builder.save(False) # True = *.pbtxt, False = *.pb if lf: if lf: lf.close() lf.close() Loading Loading
infer_qcds_01.py +9 −3 Original line number Original line Diff line number Diff line Loading @@ -345,9 +345,15 @@ with tf.Session() as sess: """ """ image_data[nimg] = None image_data[nimg] = None # is this needed? why would it be? """ #meta_graph_def = tf.train.export_meta_graph(files["inference"]+'.meta') Save MetaGraph to Saved_Model in *.pb (protocol buffer) format to be able to use from Java """ # force clean shutil.rmtree(dirs['exportdir'], ignore_errors=True) builder = tf.saved_model.builder.SavedModelBuilder(dirs['exportdir']) builder.add_meta_graph_and_variables(sess,[tf.saved_model.tag_constants.SERVING],main_op=tf.local_variables_initializer()) builder.save(False) # True = *.pbtxt, False = *.pb if lf: if lf: lf.close() lf.close() Loading