frozen graph

[fisakhan]

I converted the retinaface savedmodel format to frozen graph by executing the following code:

import tensorflow as tf
from tensorflow.python.framework.convert_to_constants import convert_variables_to_constants_v2

path2savedmodel = './tf-serving-retinaface_mbv2/1'
path2frozengraph = './models/retinaface.pb'
loaded = tf.saved_model.load(path2savedmodel)
infer = loaded.signatures['serving_default']
f = tf.function(infer).get_concrete_function(input_image=tf.TensorSpec(shape=[None, None, None, 3], dtype=tf.float32))
f2 = convert_variables_to_constants_v2(f)
graph_def = f2.graph.as_graph_def()# Export frozen graph
# write frozen graph (single file) to disk
with tf.io.gfile.GFile(path2frozengraph, 'wb') as f:
   f.write(graph_def.SerializeToString())

While loading the frozen graph in opencv using the following code

print('\n\nloading frozen model...')
net = cv2.dnn.readNet(path2frozengraph)
#net_tf = cv2.dnn.readNetFromTensorflow(path2frozengraph)

I get the following errro

[ERROR:0] global /tmp/pip-req-build-tjxnaiom/opencv/modules/dnn/src/tensorflow/tf_importer.cpp (2804) parseNode DNN/TF: Can't parse layer for node='StatefulPartitionedCall/StatefulPartitionedCall/RetinaFaceModel/ClassHead_2/mul_1' of type='Mul'. Exception: OpenCV(4.5.3) /tmp/pip-req-build-tjxnaiom/opencv/modules/dnn/src/tensorflow/tf_importer.cpp:1464: error: (-215:Assertion failed) scaleMat.type() == CV_32FC1 in function 'parseMul'

Traceback (most recent call last):
  File "/home/Projects/bitbucket/model_conversion/use_retinaface_pb_in_cv2.py", line 188, in <module>
    net = cv2.dnn.readNet(path2frozengraph)

error: OpenCV(4.5.3) /tmp/pip-req-build-tjxnaiom/opencv/modules/dnn/src/tensorflow/tf_importer.cpp:1464: error: (-215:Assertion failed) scaleMat.type() == CV_32FC1 in function 'parseMul'