I am trying to import the created frozen_inference_graph.pb to create tensorflow.js equivalent model , so as to consume the same in web browser . To do the same , as per the tensorflow.js standard documentation , we have to use the tensorflowjs_converter . On performing the steps mentioned, I am coming across errors.
I got below error for the above conversion
Traceback (most recent call last):
File "c:\users\punitupadhyay.conda\envs\tensorflowjs3\lib\runpy.py", line 193, in _run_module_as_main
"main", mod_spec)
File "c:\users\punitupadhyay.conda\envs\tensorflowjs3\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:\Users\PunitUpadhyay.conda\envs\tensorflowjs3\Scripts\tensorflowjs_converter.exe__main__.py", line 7, in
File "c:\users\punitupadhyay.conda\envs\tensorflowjs3\lib\site-packages\tensorflowjs\converters\converter.py", line 671, in pip_main
main([' '.join(sys.argv[1:])])
File "c:\users\punitupadhyay.conda\envs\tensorflowjs3\lib\site-packages\tensorflowjs\converters\converter.py", line 675, in main
convert(argv[0].split(' '))
File "c:\users\punitupadhyay.conda\envs\tensorflowjs3\lib\site-packages\tensorflowjs\converters\converter.py", line 658, in convert
weight_shard_size_bytes=weight_shard_size_bytes)
File "c:\users\punitupadhyay.conda\envs\tensorflowjs3\lib\site-packages\tensorflowjs\converters\tf_saved_model_conversion_v2.py", line 393, in convert_tf_frozen_model
weight_shard_size_bytes=weight_shard_size_bytes)
File "c:\users\punitupadhyay.conda\envs\tensorflowjs3\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:\users\punitupadhyay.conda\envs\tensorflowjs3\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:\users\punitupadhyay.conda\envs\tensorflowjs3\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:\users\punitupadhyay.conda\envs\tensorflowjs3\lib\site-packages\tensorflow\python\framework\ops.py", line 3572, in _as_graph_element_locked
"graph." % repr(name))
KeyError: 'The name "num_detections\'" refers to an Operation not in the graph.'
Kindly help me here , as i want to use the trained model in web using tensorflow.js . I also want to know if at all this is feasible , since tensorflow.js is @1.7.4.post1 which I have used and is the latest , which should make it compatible to do the conversion.
Dear community members,
I am trying to import the created frozen_inference_graph.pb to create tensorflow.js equivalent model , so as to consume the same in web browser . To do the same , as per the tensorflow.js standard documentation , we have to use the tensorflowjs_converter . On performing the steps mentioned, I am coming across errors.
tensorflowjs_converter --input_format=tf_frozen_model --output_node_names='detection_boxes,detection_scores,detection_classes,num_detections' C:\tensorflow5\models\research\object_detection\inference_graph\saved_model\saved_model.pb C:/model_conv/inference_graph/web_model
I got below error for the above conversion Traceback (most recent call last): File "c:\users\punitupadhyay.conda\envs\tensorflowjs3\lib\runpy.py", line 193, in _run_module_as_main "main", mod_spec) File "c:\users\punitupadhyay.conda\envs\tensorflowjs3\lib\runpy.py", line 85, in _run_code exec(code, run_globals) File "C:\Users\PunitUpadhyay.conda\envs\tensorflowjs3\Scripts\tensorflowjs_converter.exe__main__.py", line 7, in
File "c:\users\punitupadhyay.conda\envs\tensorflowjs3\lib\site-packages\tensorflowjs\converters\converter.py", line 671, in pip_main
main([' '.join(sys.argv[1:])])
File "c:\users\punitupadhyay.conda\envs\tensorflowjs3\lib\site-packages\tensorflowjs\converters\converter.py", line 675, in main
convert(argv[0].split(' '))
File "c:\users\punitupadhyay.conda\envs\tensorflowjs3\lib\site-packages\tensorflowjs\converters\converter.py", line 658, in convert
weight_shard_size_bytes=weight_shard_size_bytes)
File "c:\users\punitupadhyay.conda\envs\tensorflowjs3\lib\site-packages\tensorflowjs\converters\tf_saved_model_conversion_v2.py", line 393, in convert_tf_frozen_model
weight_shard_size_bytes=weight_shard_size_bytes)
File "c:\users\punitupadhyay.conda\envs\tensorflowjs3\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:\users\punitupadhyay.conda\envs\tensorflowjs3\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:\users\punitupadhyay.conda\envs\tensorflowjs3\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:\users\punitupadhyay.conda\envs\tensorflowjs3\lib\site-packages\tensorflow\python\framework\ops.py", line 3572, in _as_graph_element_locked
"graph." % repr(name))
KeyError: 'The name "num_detections\'" refers to an Operation not in the graph.'
Kindly help me here , as i want to use the trained model in web using tensorflow.js . I also want to know if at all this is feasible , since tensorflow.js is @1.7.4.post1 which I have used and is the latest , which should make it compatible to do the conversion.
Kindly Help !
Thanks & Awaiting Reply from community !