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Commit b50ebac

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genquan9dizcology
genquan9
authored and
dizcology
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Vision edge prediction (GoogleCloudPlatform#2146)
* AutoML Vision Edge Container Predict sample * add one blank line after the function definition * Refine README with clarifications and sample outputs, and rename encoded_string as encoded_image * change port number and add docker link * rewrite tests in pytest * update port number from 8501 to 8505 to be consistent in README * rename test names and move run/stop dockders to setup/teardown * add comments to clarify the predictions with multiple images * add comments to clarify the predictions with multiple images in prediction * update indents from 2 to 4 spaces * update files with too long lines * fix trailing white spaces. * skip tests for now and add a TODO to enable it infuture * update readme with correct test file
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‎vision/automl/edge_container_predict/README.md

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# AutoML Vision Edge Container Prediction
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This is an example to show how to predict with AutoML Vision Edge Containers.
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The test (freeze_meta_graph_lib_test.py) shows an automatical way to run the
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prediction.
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The test (automl_vision_edge_container_predict_test.py) shows an automatical way
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to run the prediction.
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If you want to try the test manually with a sample model, please install
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[gsutil tools](https://cloud.google.com/storage/docs/gsutil_install) and

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