CustomVision Classification in Docker container: Cannot feed value of shape2019 Community Moderator Election

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CustomVision Classification in Docker container: Cannot feed value of shape



2019 Community Moderator Election










0















I have created a classification model in CustomVision and exported it to a Dockerfile (Linux). The model works fine when testing it from inside CustomVision GUI, but when connecting to the docker container and calling it like



curl -X POST http://127.0.0.1/image -F imageData=@some_file_name.jpg


I always get a error like




"Error: Could not preprocess image for prediction. Cannot feed value of shape (1, 227, 227, 3) for Tensor 'Placeholder:0', which has shape '(?, 224, 224, 3)'"




This is even when some_file_name.jpg is one of the files the model was trained from...



An observation: Models we created in August'18 and exported to Dockerfiles works fine. When modifying these models now (e.g. removing a file from the trainingdata) and rebuilding the model, it fails like noted above. The zip file created when exporting the model is nearly double in size now compared to in August. No configuration has been changed and the model is still build on the same datacenter.



Any tips/help is most appreciated.










share|improve this question
























  • Is export to Dockerfile actually working at the moment?

    – Per Inge
    Mar 11 at 8:13















0















I have created a classification model in CustomVision and exported it to a Dockerfile (Linux). The model works fine when testing it from inside CustomVision GUI, but when connecting to the docker container and calling it like



curl -X POST http://127.0.0.1/image -F imageData=@some_file_name.jpg


I always get a error like




"Error: Could not preprocess image for prediction. Cannot feed value of shape (1, 227, 227, 3) for Tensor 'Placeholder:0', which has shape '(?, 224, 224, 3)'"




This is even when some_file_name.jpg is one of the files the model was trained from...



An observation: Models we created in August'18 and exported to Dockerfiles works fine. When modifying these models now (e.g. removing a file from the trainingdata) and rebuilding the model, it fails like noted above. The zip file created when exporting the model is nearly double in size now compared to in August. No configuration has been changed and the model is still build on the same datacenter.



Any tips/help is most appreciated.










share|improve this question
























  • Is export to Dockerfile actually working at the moment?

    – Per Inge
    Mar 11 at 8:13













0












0








0








I have created a classification model in CustomVision and exported it to a Dockerfile (Linux). The model works fine when testing it from inside CustomVision GUI, but when connecting to the docker container and calling it like



curl -X POST http://127.0.0.1/image -F imageData=@some_file_name.jpg


I always get a error like




"Error: Could not preprocess image for prediction. Cannot feed value of shape (1, 227, 227, 3) for Tensor 'Placeholder:0', which has shape '(?, 224, 224, 3)'"




This is even when some_file_name.jpg is one of the files the model was trained from...



An observation: Models we created in August'18 and exported to Dockerfiles works fine. When modifying these models now (e.g. removing a file from the trainingdata) and rebuilding the model, it fails like noted above. The zip file created when exporting the model is nearly double in size now compared to in August. No configuration has been changed and the model is still build on the same datacenter.



Any tips/help is most appreciated.










share|improve this question
















I have created a classification model in CustomVision and exported it to a Dockerfile (Linux). The model works fine when testing it from inside CustomVision GUI, but when connecting to the docker container and calling it like



curl -X POST http://127.0.0.1/image -F imageData=@some_file_name.jpg


I always get a error like




"Error: Could not preprocess image for prediction. Cannot feed value of shape (1, 227, 227, 3) for Tensor 'Placeholder:0', which has shape '(?, 224, 224, 3)'"




This is even when some_file_name.jpg is one of the files the model was trained from...



An observation: Models we created in August'18 and exported to Dockerfiles works fine. When modifying these models now (e.g. removing a file from the trainingdata) and rebuilding the model, it fails like noted above. The zip file created when exporting the model is nearly double in size now compared to in August. No configuration has been changed and the model is still build on the same datacenter.



Any tips/help is most appreciated.







azure-cognitive-services






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edited Mar 7 at 14:18









kalehmann

2,369521




2,369521










asked Mar 7 at 14:13









Per IngePer Inge

31




31












  • Is export to Dockerfile actually working at the moment?

    – Per Inge
    Mar 11 at 8:13

















  • Is export to Dockerfile actually working at the moment?

    – Per Inge
    Mar 11 at 8:13
















Is export to Dockerfile actually working at the moment?

– Per Inge
Mar 11 at 8:13





Is export to Dockerfile actually working at the moment?

– Per Inge
Mar 11 at 8:13












1 Answer
1






active

oldest

votes


















0














In the app folder of the export there's a file predict.py. Change the line,



network_input_size = 227
to
network_input_size = 224



I then rebuilt and reran my docker container and it worked.






share|improve this answer








New contributor




dawa is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.




















  • Thanks! It worked :-)

    – Per Inge
    Mar 12 at 13:19










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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









0














In the app folder of the export there's a file predict.py. Change the line,



network_input_size = 227
to
network_input_size = 224



I then rebuilt and reran my docker container and it worked.






share|improve this answer








New contributor




dawa is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.




















  • Thanks! It worked :-)

    – Per Inge
    Mar 12 at 13:19















0














In the app folder of the export there's a file predict.py. Change the line,



network_input_size = 227
to
network_input_size = 224



I then rebuilt and reran my docker container and it worked.






share|improve this answer








New contributor




dawa is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.




















  • Thanks! It worked :-)

    – Per Inge
    Mar 12 at 13:19













0












0








0







In the app folder of the export there's a file predict.py. Change the line,



network_input_size = 227
to
network_input_size = 224



I then rebuilt and reran my docker container and it worked.






share|improve this answer








New contributor




dawa is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.










In the app folder of the export there's a file predict.py. Change the line,



network_input_size = 227
to
network_input_size = 224



I then rebuilt and reran my docker container and it worked.







share|improve this answer








New contributor




dawa is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.









share|improve this answer



share|improve this answer






New contributor




dawa is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.









answered Mar 12 at 9:02









dawadawa

16




16




New contributor




dawa is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.





New contributor





dawa is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.






dawa is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.












  • Thanks! It worked :-)

    – Per Inge
    Mar 12 at 13:19

















  • Thanks! It worked :-)

    – Per Inge
    Mar 12 at 13:19
















Thanks! It worked :-)

– Per Inge
Mar 12 at 13:19





Thanks! It worked :-)

– Per Inge
Mar 12 at 13:19



















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