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I just added the README.md description to explain how to use body-pose-detection model
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# Body Pose Invocation asynchronous invocation | ||
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This example uses the pre-trained classification model by DEEP-Hybrid-DataCloud | ||
[Body Pose Detection](https://marketplace.deep-hybrid-datacloud.eu/modules/deep-oc-posenet-tf.html) | ||
and is prepared to be used with asynchronous invocations. | ||
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In order to invoke the function, first you have to do is create a service, | ||
either by the OSCAR UI or by using the FLD within the following command. | ||
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``` sh | ||
oscar-cli apply body-pose-detection-async.yaml | ||
``` | ||
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Once the service is created you can make the invocation with the following | ||
command, which will store the output on a minio bucket. | ||
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``` sh | ||
oscar-cli service put-file body-pose-detection-async minio images/001.jpg body-pose-detection-async/input/001.jpg | ||
``` | ||
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