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
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
add a comment |
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
Is export to Dockerfile actually working at the moment?
– Per Inge
Mar 11 at 8:13
add a comment |
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
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
azure-cognitive-services
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
add a comment |
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
add a comment |
1 Answer
1
active
oldest
votes
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.
New contributor
Thanks! It worked :-)
– Per Inge
Mar 12 at 13:19
add a comment |
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1 Answer
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1 Answer
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active
oldest
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votes
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.
New contributor
Thanks! It worked :-)
– Per Inge
Mar 12 at 13:19
add a comment |
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.
New contributor
Thanks! It worked :-)
– Per Inge
Mar 12 at 13:19
add a comment |
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.
New contributor
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.
New contributor
New contributor
answered Mar 12 at 9:02
dawadawa
16
16
New contributor
New contributor
Thanks! It worked :-)
– Per Inge
Mar 12 at 13:19
add a comment |
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
add a comment |
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Is export to Dockerfile actually working at the moment?
– Per Inge
Mar 11 at 8:13