CODEWITHSUNDEEP
tensorflowtensorflow-servingtensorflow-datasetstensorflow-estimatortensorflow-slim
Shobhit
Shobhit

Reputation: 33

Serving a TensorFlow Custom Model

I am new in machine learning, basically i created own dataset of images and do training on them and recognize images on jupyter notebook, after this i tried to deploy this model by following this tutorial

I execute

bazel build -c opt //tensorflow_serving/example:mnist_saved_model

bazel-bin/tensorflow_serving/example/mnist_saved_model /tmp/mnist_model

it runs successfully.

How to export my own model and deploy? my model name is "GoogleTensorflow"

I created this model using

python3 export_inference_graph.py 
--input_type image_tensor 
--pipeline_config_path training/ssd_mobilenet_v1_pets.config 
--trained_checkpoint_prefix training/model.ckpt-26456 
--output_directory GoogleTensorflow

Upvotes: 0

Views: 168

Answers (1)

Vivek Gupta
Vivek Gupta

Reputation: 76

Move your custom training folder to tmp folder and that model should have version ex 1 folder inside it

Upvotes: 1

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