mirror/opencv
1
0
Fork 0
mirror of https://github.com/opencv/opencv.git synced 2024-11-29 05:29:54 +08:00
Code Issues Actions Packages Projects Releases Wiki Activity

Update script to generate MobileNet-SSD V2 text graph

Browse Source
This commit is contained in:
Dmitry Kurtaev 2018-05-04 07:55:18 +03:00
parent 684cf43360
commit d381948cee
1 changed files with 7 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

8
samples/dnn/tf_text_graph_ssd.py
View File

@ -13,6 +13,7 @@ import tensorflow as tf
import argparse
from math import sqrt
from tensorflow.core.framework.node_def_pb2 import NodeDef
from tensorflow.tools.graph_transforms import TransformGraph
from google.protobuf import text_format
parser = argparse.ArgumentParser(description='Run this script to get a text graph of '
@ -32,7 +33,7 @@ args = parser.parse_args()
# Nodes that should be kept.
keepOps = ['Conv2D', 'BiasAdd', 'Add', 'Relu6', 'Placeholder', 'FusedBatchNorm',
'DepthwiseConv2dNative', 'ConcatV2', 'Mul', 'MaxPool', 'AvgPool']
'DepthwiseConv2dNative', 'ConcatV2', 'Mul', 'MaxPool', 'AvgPool', 'Identity']
# Nodes attributes that could be removed because they are not used during import.
unusedAttrs = ['T', 'data_format', 'Tshape', 'N', 'Tidx', 'Tdim', 'use_cudnn_on_gpu',
@ -46,6 +47,10 @@ with tf.gfile.FastGFile(args.input, 'rb') as f:
graph_def = tf.GraphDef()
graph_def.ParseFromString(f.read())
inpNames = ['image_tensor']
outNames = ['num_detections', 'detection_scores', 'detection_boxes', 'detection_classes']
graph_def = TransformGraph(graph_def, inpNames, outNames, ['sort_by_execution_order'])
def getUnconnectedNodes():
unconnected = []
for node in graph_def.node:
@ -98,6 +103,7 @@ def removeIdentity():
for node in graph_def.node:
if node.op == 'Identity':
identities[node.name] = node.input[0]
graph_def.node.remove(node)
for node in graph_def.node:
for i in range(len(node.input)):