Comments (2)
@aleenakvk I got the same error, have you found a solution?
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@aleenakvk I got the same error, have you found a solution?
Yes. My client API was already built by another software TensorFlow serving API. In client API they have asked for exactly one input. But according to the code in here it is sending 3 inputs and the client-side should be ready to accept this input. But in my case, I couldn't change the Client side. So I have changed the server-side. i.e, There is a pre-trained TensorFlow serving model for MaskRCNN is available on the TensorFlow API server website. So I have downloaded that and changed some architecture in accordance with my objective. So client-side and server-side, inputs and outputs got matched.
This solution was specific to my case. I am not sure whether this work for your case. I hope I could provide some insights.
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Related Issues (20)
- Frozen graph generates difference results compared to the original model HOT 2
- there is not any files in the folder about serving_model/1/variables. HOT 12
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- How to use saved_model.pb in Tensorflow Model Server? HOT 8
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- Converting frozen graph in mvNCCompile
- output_names=[out.op.name for out in model.outputs][:4] should be modified to get the 5 loss nodes HOT 2
- What should the inputs and outputs of the SavedModel SignatureDef look like? HOT 2
- About How to predict by tensorflow serving. HOT 2
- How can I read input and output node from frozen inference model (.pb)? HOT 2
- Inference speed really slow! HOT 2
- Rest Api Error
- { "error": "Malformed request: GET /v1/models/mask:predict" } HOT 1
- Unable to convert to tensorflow serving HOT 2
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- Error help pleas
- sending your input data instances as a JSON object to deployed model HOT 3
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