Conversion from Tensorflow to Onnx - tensorflow

Question

I want to transform this TF model: ICNET_0.5 to onnx and I followed this example: ConvertingSSDMobilenetToONNX
I understood if I just want to inference I should use the frozen graph (in my case: frozen_inference_graph.pb) so I changed the name to savel_model.pb (it seems that tf2onnx does not recognize other name) and run the following with this error:
C:\Users\esarojp\Desktop\newmodel\0818_icnet_0.5_1025_resnet_v1.tar> python -m tf2onnx.convert --opset 10 --fold_const --saved-model .\0818_icnet_0.5_1025_resnet_v1\saved_model\ --output MODEL.onnx
- WARNING - From C:\Users\esarojp\AppData\Local\Continuum\anaconda3\lib\site-packages\tf2onnx\verbose_logging.py:72: The name tf.logging.set_verbosity is deprecated. Please use tf.compat.v1.logging.set_verbosity instead.
Traceback (most recent call last):
File "C:\Users\esarojp\AppData\Local\Continuum\anaconda3\lib\runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "C:\Users\esarojp\AppData\Local\Continuum\anaconda3\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:\Users\esarojp\AppData\Local\Continuum\anaconda3\lib\site-packages\tf2onnx\convert.py", line 161, in <module>
main()
File "C:\Users\esarojp\AppData\Local\Continuum\anaconda3\lib\site-packages\tf2onnx\convert.py", line 123, in main
args.saved_model, args.inputs, args.outputs, args.signature_def)
File "C:\Users\esarojp\AppData\Local\Continuum\anaconda3\lib\site-packages\tf2onnx\loader.py", line 103, in from_saved_model
meta_graph_def = tf.saved_model.loader.load(sess, [tf.saved_model.tag_constants.SERVING], model_path)
File "C:\Users\esarojp\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\util\deprecation.py", line 324, in new_func
return func(*args, **kwargs)
File "C:\Users\esarojp\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\saved_model\loader_impl.py", line 269, in load
return loader.load(sess, tags, import_scope, **saver_kwargs)
File "C:\Users\esarojp\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\saved_model\loader_impl.py", line 422, in load
**saver_kwargs)
File "C:\Users\esarojp\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\saved_model\loader_impl.py", line 349, in load_graph
meta_graph_def = self.get_meta_graph_def_from_tags(tags)
File "C:\Users\esarojp\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\saved_model\loader_impl.py", line 327, in get_meta_graph_def_from_tags
"\navailable_tags: " + str(available_tags))
RuntimeError: MetaGraphDef associated with tags 'serve' could not be found in SavedModel. To inspect available tag-sets in the SavedModel, please use the SavedModel CLI: `saved_model_cli`
available_tags: [set()]
and when I run:
C:\Users\esarojp\Desktop\newmodel\0818_icnet_0.5_1025_resnet_v1.tar> saved_model_cli show --dir .\0818_icnet_0.5_1025_resnet_v1\saved_model\ --tag_set serve --signature_def serving_default
Traceback (most recent call last):
File "C:\Users\esarojp\AppData\Local\Continuum\anaconda3\Scripts\saved_model_cli-script.py", line 10, in <module>
sys.exit(main())
File "C:\Users\esarojp\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\tools\saved_model_cli.py", line 909, in main
args.func(args)
File "C:\Users\esarojp\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\tools\saved_model_cli.py", line 621, in show
_show_inputs_outputs(args.dir, args.tag_set, args.signature_def)
File "C:\Users\esarojp\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\tools\saved_model_cli.py", line 133, in _show_inputs_outputs
tag_set)
File "C:\Users\esarojp\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\tools\saved_model_utils.py", line 120, in get_meta_graph_def
' could not be found in SavedModel')
RuntimeError: MetaGraphDef associated with tag-set serve could not be found in SavedModel
I think that something is pointing to frozen_inference_graph.pb on the other files but it does not exist anymore (although it says that all the weights are inside the graph).
Any idea of what is wrong?

Answer 1

I did it wrong, I tried to convert the model from a SavedModel using a Frozen graph, to convert a Frozen graph it is needed to add graphdef flag and to specify inputs and outputs.
python -m tf2onnx.convert --graphdef .\0818_icnet_0.5_1025_resnet_v1\frozen_inference_graph.pb --output frozen.onnx --fold_const --opset 10 --inputs inputs:0 --outputs predictions:0