Error while importing the Frozen model to tensorflowjs

Prerequisites

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• I am using the latest TensorFlow Model Garden release and TensorFlow 2.
• I am reporting the issue to the correct repository. (Model Garden official or research directory)
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1. The entire URL of the file you are using

https://github.com/tensorflow/models/tree/master/official/...

2. Describe the bug

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3. Steps to reproduce

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4. Expected behavior

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5. Additional context

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6. System information

• OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
• Mobile device name if the issue happens on a mobile device:
• TensorFlow installed from (source or binary):
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• Python version:
• Bazel version (if compiling from source):
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• GPU model and memory:

After exporting the graph , how do i import the frozen graph model created in the output directory in tensorflowjs . Looking at the standard documentation , the tensorflowjs_converter is to be used , but after it it always gives me an error that "KeyError: 'The name "'detection_boxes" refers to an Operation not in the graph.'"

Here is the conversion command below :

(tensorflowjs) c:>tensorflowjs_converter --input_format=tf_frozen_model --output_node_names='detection_boxes,detection_scores,detection_classes,num_detections' --saved_model_tags=serve C:/model_conv/inference_graph/frozen_inference_graph.pb C:/model_conv/inference_graph/web_model

and the Traceback call error below:

Traceback (most recent call last):
File "c:\programdata\anaconda3\envs\tensorflowjs\lib\runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "c:\programdata\anaconda3\envs\tensorflowjs\lib\runpy.py", line 87, in run_code
exec(code, run_globals)
File "C:\ProgramData\Anaconda3\envs\tensorflowjs\Scripts\tensorflowjs_converter.exe_main.py", line 7, in
File "c:\programdata\anaconda3\envs\tensorflowjs\lib\site-packages\tensorflowjs\converters\converter.py", line 671, in pip_main
main([' '.join(sys.argv[1:])])
File "c:\programdata\anaconda3\envs\tensorflowjs\lib\site-packages\tensorflowjs\converters\converter.py", line 675, in main
convert(argv[0].split(' '))
File "c:\programdata\anaconda3\envs\tensorflowjs\lib\site-packages\tensorflowjs\converters\converter.py", line 653, in convert
tf_saved_model_conversion_v2.convert_tf_frozen_model(
File "c:\programdata\anaconda3\envs\tensorflowjs\lib\site-packages\tensorflowjs\converters\tf_saved_model_conversion_v2.py", line 388, in convert_tf_frozen_model
optimize_graph(graph, signature,
File "c:\programdata\anaconda3\envs\tensorflowjs\lib\site-packages\tensorflowjs\converters\tf_saved_model_conversion_v2.py", line 134, in optimize_graph
graph.add_to_collection('train_op', graph.get_operation_by_name(name))
File "c:\programdata\anaconda3\envs\tensorflowjs\lib\site-packages\tensorflow\python\framework\ops.py", line 3640, in get_operation_by_name
return self.as_graph_element(name, allow_tensor=False, allow_operation=True)
File "c:\programdata\anaconda3\envs\tensorflowjs\lib\site-packages\tensorflow\python\framework\ops.py", line 3512, in as_graph_element
return self._as_graph_element_locked(obj, allow_tensor, allow_operation)
File "c:\programdata\anaconda3\envs\tensorflowjs\lib\site-packages\tensorflow\python\framework\ops.py", line 3571, in _as_graph_element_locked
raise KeyError("The name %s refers to an Operation not in the "
KeyError: 'The name "'detection_boxes" refers to an Operation not in the graph.'

My conda environment is:
(tensorflowjs) c:>pip list
Package Version

absl-py 0.9.0
astunparse 1.6.3
cachetools 4.1.0
certifi 2020.4.5.1
chardet 3.0.4
gast 0.3.3
google-auth 1.15.0
google-auth-oauthlib 0.4.1
google-pasta 0.2.0
grpcio 1.29.0
h5py 2.10.0
idna 2.9
Keras-Preprocessing 1.1.2
Markdown 3.2.2
numpy 1.18.4
oauthlib 3.1.0
opt-einsum 3.2.1
pip 20.0.2
prompt-toolkit 1.0.14
protobuf 3.11.3
pyasn1 0.4.8
pyasn1-modules 0.2.8
Pygments 2.6.1
PyInquirer 1.0.3
regex 2020.5.14
requests 2.23.0
requests-oauthlib 1.3.0
rsa 4.0
scipy 1.4.1
setuptools 46.4.0.post20200518
six 1.14.0
tensorboard 2.2.1
tensorboard-plugin-wit 1.6.0.post3
tensorflow-cpu 2.2.0
tensorflow-estimator 2.2.0
tensorflow-hub 0.7.0
tensorflowjs 1.7.4.post1
termcolor 1.1.0
urllib3 1.25.9
wcwidth 0.1.9
Werkzeug 1.0.1
wheel 0.34.2
wincertstore 0.2
wrapt 1.12.1

The environment in which object_detection_api was used is python=3.5 and tensorflow=1.5

Kindly Help , as I want to consume the trained model in tensorflowjs.