freeze_graph.py

#! /usr/bin/env python
# coding=utf-8


import tensorflow as tf
from core.yolov3 import YOLOV3

pb_file = "./yolov3_coco_v3.pb"

ckpt_file = "./checkpoint/yolov3_coco_demo.ckpt"
output_node_names = ["input/input_data", "pred_sbbox/concat_2", "pred_mbbox/concat_2", "pred_lbbox/concat_2",
                     "pred_multi_scale/concat"]

with tf.name_scope('input'):
    input_data = tf.placeholder(dtype=tf.float32, name='input_data')

model = YOLOV3(input_data, trainable=False)
print(model.conv_sbbox, model.conv_mbbox, model.conv_lbbox)

sess  = tf.Session(config=tf.ConfigProto(allow_soft_placement=True))
saver = tf.train.Saver()
saver.restore(sess, ckpt_file)

converted_graph_def = tf.graph_util.convert_variables_to_constants(sess,
                            input_graph_def  = sess.graph.as_graph_def(),
                            output_node_names = output_node_names)

with tf.gfile.GFile(pb_file, "wb") as f:
    f.write(converted_graph_def.SerializeToString())