Freezing fine-tuned graph for TensorFlowSharp with TF 1.4












0















I've fine-tuned a model (using TF 1.9) from Object Detection Zoo Model and right now I am trying to freeze the graph for TensorFlowSharp using TF 1.9. 



import tensorflow as tf

import os

from tensorflow.python.tools import freeze_graph

from tensorflow.core.protobuf import saver_pb2



#print("current tensorflow version: ", tf.version)

sess=tf.Session()



model_path = 'latest_cp/'

saver = tf.train.import_meta_graph('model.ckpt.meta')

saver.restore(sess,tf.train.latest_checkpoint('.')) #current dir of the checkpoint file

tf.train.write_graph(sess.graph_def, '.', 'test.pbtxt') #output in pbtxt format



freeze_graph.freeze_graph(input_graph = 'test.pbtxt',

    input_binary = False,

    input_checkpoint = model_path + 'model.ckpt',

    output_node_names =     "num_detections,detection_boxes,detection_scores,detection_classes",

    output_graph = 'test.bytes' ,

    clear_devices = True, initializer_nodes = "",input_saver = "",

    restore_op_name = "save/restore_all", filename_tensor_name = "save/Const:0")


It worked but then after I imported it to Unity it returned the following error:



TFException: Op type not registered 'NonMaxSuppressionV3' in binary running on AK38713. Make sure the Op and Kernel are registered in the binary running in this process.



I find out that TensorFlowSharp works with TensorFlow 1.4 and when I tried to freeze graph with 1.4 it returns the same NonMaxSuppressionV3 error.
Do you know any way to solve this issue? Thank you so much for the support.






python unity3d tensorflow object-detection tensorflowsharp







share|improve this question























  • "when I tried to freeze graph with 1.4" you mean you installed TF 1.4 in Python and tried to export it? That should work, but you need to create the model with TF 1.4, not just restore it and export it. You don't necessarily have to retrain, though, you could run the original code to create the graph in 1.4, restore only the variables (not the whole metagraph) and export it.

    – jdehesa
    Nov 19 '18 at 17:13






  • 1





    If that is absolutely not an option (e.g. no code available), technically it could be possible to replace NonMaxSuppressionV3 ops with a former version. Seems NonMaxSuppressionV2 has been there since 1.3.0, and looks like it has the same interface. However it's a bit of a messy path and there could still be other incompatible ops in the graph.

    – jdehesa
    Nov 19 '18 at 17:13
















0















I've fine-tuned a model (using TF 1.9) from Object Detection Zoo Model and right now I am trying to freeze the graph for TensorFlowSharp using TF 1.9. 



import tensorflow as tf

import os

from tensorflow.python.tools import freeze_graph

from tensorflow.core.protobuf import saver_pb2



#print("current tensorflow version: ", tf.version)

sess=tf.Session()



model_path = 'latest_cp/'

saver = tf.train.import_meta_graph('model.ckpt.meta')

saver.restore(sess,tf.train.latest_checkpoint('.')) #current dir of the checkpoint file

tf.train.write_graph(sess.graph_def, '.', 'test.pbtxt') #output in pbtxt format



freeze_graph.freeze_graph(input_graph = 'test.pbtxt',

    input_binary = False,

    input_checkpoint = model_path + 'model.ckpt',

    output_node_names =     "num_detections,detection_boxes,detection_scores,detection_classes",

    output_graph = 'test.bytes' ,

    clear_devices = True, initializer_nodes = "",input_saver = "",

    restore_op_name = "save/restore_all", filename_tensor_name = "save/Const:0")


It worked but then after I imported it to Unity it returned the following error:



TFException: Op type not registered 'NonMaxSuppressionV3' in binary running on AK38713. Make sure the Op and Kernel are registered in the binary running in this process.



I find out that TensorFlowSharp works with TensorFlow 1.4 and when I tried to freeze graph with 1.4 it returns the same NonMaxSuppressionV3 error.
Do you know any way to solve this issue? Thank you so much for the support.






python unity3d tensorflow object-detection tensorflowsharp







share|improve this question























  • "when I tried to freeze graph with 1.4" you mean you installed TF 1.4 in Python and tried to export it? That should work, but you need to create the model with TF 1.4, not just restore it and export it. You don't necessarily have to retrain, though, you could run the original code to create the graph in 1.4, restore only the variables (not the whole metagraph) and export it.

    – jdehesa
    Nov 19 '18 at 17:13






  • 1





    If that is absolutely not an option (e.g. no code available), technically it could be possible to replace NonMaxSuppressionV3 ops with a former version. Seems NonMaxSuppressionV2 has been there since 1.3.0, and looks like it has the same interface. However it's a bit of a messy path and there could still be other incompatible ops in the graph.

    – jdehesa
    Nov 19 '18 at 17:13














0












0








0








I've fine-tuned a model (using TF 1.9) from Object Detection Zoo Model and right now I am trying to freeze the graph for TensorFlowSharp using TF 1.9. 



import tensorflow as tf

import os

from tensorflow.python.tools import freeze_graph

from tensorflow.core.protobuf import saver_pb2



#print("current tensorflow version: ", tf.version)

sess=tf.Session()



model_path = 'latest_cp/'

saver = tf.train.import_meta_graph('model.ckpt.meta')

saver.restore(sess,tf.train.latest_checkpoint('.')) #current dir of the checkpoint file

tf.train.write_graph(sess.graph_def, '.', 'test.pbtxt') #output in pbtxt format



freeze_graph.freeze_graph(input_graph = 'test.pbtxt',

    input_binary = False,

    input_checkpoint = model_path + 'model.ckpt',

    output_node_names =     "num_detections,detection_boxes,detection_scores,detection_classes",

    output_graph = 'test.bytes' ,

    clear_devices = True, initializer_nodes = "",input_saver = "",

    restore_op_name = "save/restore_all", filename_tensor_name = "save/Const:0")


It worked but then after I imported it to Unity it returned the following error:



TFException: Op type not registered 'NonMaxSuppressionV3' in binary running on AK38713. Make sure the Op and Kernel are registered in the binary running in this process.



I find out that TensorFlowSharp works with TensorFlow 1.4 and when I tried to freeze graph with 1.4 it returns the same NonMaxSuppressionV3 error.
Do you know any way to solve this issue? Thank you so much for the support.






python unity3d tensorflow object-detection tensorflowsharp







share|improve this question














I've fine-tuned a model (using TF 1.9) from Object Detection Zoo Model and right now I am trying to freeze the graph for TensorFlowSharp using TF 1.9. 



import tensorflow as tf

import os

from tensorflow.python.tools import freeze_graph

from tensorflow.core.protobuf import saver_pb2



#print("current tensorflow version: ", tf.version)

sess=tf.Session()



model_path = 'latest_cp/'

saver = tf.train.import_meta_graph('model.ckpt.meta')

saver.restore(sess,tf.train.latest_checkpoint('.')) #current dir of the checkpoint file

tf.train.write_graph(sess.graph_def, '.', 'test.pbtxt') #output in pbtxt format



freeze_graph.freeze_graph(input_graph = 'test.pbtxt',

    input_binary = False,

    input_checkpoint = model_path + 'model.ckpt',

    output_node_names =     "num_detections,detection_boxes,detection_scores,detection_classes",

    output_graph = 'test.bytes' ,

    clear_devices = True, initializer_nodes = "",input_saver = "",

    restore_op_name = "save/restore_all", filename_tensor_name = "save/Const:0")


It worked but then after I imported it to Unity it returned the following error:



TFException: Op type not registered 'NonMaxSuppressionV3' in binary running on AK38713. Make sure the Op and Kernel are registered in the binary running in this process.



I find out that TensorFlowSharp works with TensorFlow 1.4 and when I tried to freeze graph with 1.4 it returns the same NonMaxSuppressionV3 error.
Do you know any way to solve this issue? Thank you so much for the support.






python unity3d tensorflow object-detection tensorflowsharp




python unity3d tensorflow object-detection tensorflowsharp






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Nov 19 '18 at 15:39









o.Oo.O

177214




177214













  • "when I tried to freeze graph with 1.4" you mean you installed TF 1.4 in Python and tried to export it? That should work, but you need to create the model with TF 1.4, not just restore it and export it. You don't necessarily have to retrain, though, you could run the original code to create the graph in 1.4, restore only the variables (not the whole metagraph) and export it.

    – jdehesa
    Nov 19 '18 at 17:13






  • 1





    If that is absolutely not an option (e.g. no code available), technically it could be possible to replace NonMaxSuppressionV3 ops with a former version. Seems NonMaxSuppressionV2 has been there since 1.3.0, and looks like it has the same interface. However it's a bit of a messy path and there could still be other incompatible ops in the graph.

    – jdehesa
    Nov 19 '18 at 17:13



















  • "when I tried to freeze graph with 1.4" you mean you installed TF 1.4 in Python and tried to export it? That should work, but you need to create the model with TF 1.4, not just restore it and export it. You don't necessarily have to retrain, though, you could run the original code to create the graph in 1.4, restore only the variables (not the whole metagraph) and export it.

    – jdehesa
    Nov 19 '18 at 17:13






  • 1





    If that is absolutely not an option (e.g. no code available), technically it could be possible to replace NonMaxSuppressionV3 ops with a former version. Seems NonMaxSuppressionV2 has been there since 1.3.0, and looks like it has the same interface. However it's a bit of a messy path and there could still be other incompatible ops in the graph.

    – jdehesa
    Nov 19 '18 at 17:13

















"when I tried to freeze graph with 1.4" you mean you installed TF 1.4 in Python and tried to export it? That should work, but you need to create the model with TF 1.4, not just restore it and export it. You don't necessarily have to retrain, though, you could run the original code to create the graph in 1.4, restore only the variables (not the whole metagraph) and export it.

– jdehesa
Nov 19 '18 at 17:13





"when I tried to freeze graph with 1.4" you mean you installed TF 1.4 in Python and tried to export it? That should work, but you need to create the model with TF 1.4, not just restore it and export it. You don't necessarily have to retrain, though, you could run the original code to create the graph in 1.4, restore only the variables (not the whole metagraph) and export it.

– jdehesa
Nov 19 '18 at 17:13




1




1





If that is absolutely not an option (e.g. no code available), technically it could be possible to replace NonMaxSuppressionV3 ops with a former version. Seems NonMaxSuppressionV2 has been there since 1.3.0, and looks like it has the same interface. However it's a bit of a messy path and there could still be other incompatible ops in the graph.

– jdehesa
Nov 19 '18 at 17:13





If that is absolutely not an option (e.g. no code available), technically it could be possible to replace NonMaxSuppressionV3 ops with a former version. Seems NonMaxSuppressionV2 has been there since 1.3.0, and looks like it has the same interface. However it's a bit of a messy path and there could still be other incompatible ops in the graph.

– jdehesa
Nov 19 '18 at 17:13












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