Replies: 5 comments
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You might be better asking in the Slack channel: https://slack.fluentd.org/ There's also Observability Day at KubeCon this week to chat to maintainers directly. |
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Hi @patrick-stephens , thanks for your answer. |
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Hi @canob, I am the author of the TensorFlow plugin for Fluent Bit. You can find examples in this repository (the external plugin support GPU inference as well): https://github.com/koleini/fluent-bit-external-plugins/tree/main/filter_tensorflow You can also directly message me on Fluent Bit slack channel if you had questions or facing issues. |
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Thanks @koleini ! I'm going to review the provided link to try to understand how to use the plugin. |
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If you decided to use NVIDIA Jetson Nano board, this external Fluent Bit plugin can read images from the camera and pass them to the TensorFlow plugin for inference: https://github.com/koleini/fluent-bit-external-plugins/tree/main/in_csi_camera |
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Hi everyone,
Is there any additional information or blog post of how to use TensorFlow pipeline filter on FluentBit that you know?
Because I reviewed the docs, https://docs.fluentbit.io/manual/pipeline/filters/tensorflow, and is not clear for me or there are not many examples.
I'm trying to do "Anomaly Detection" on the edge. I'm reviewing another options, like OpenSearch Data Prepper Anomaly Detector processor, https://opensearch.org/docs/latest/data-prepper/pipelines/configuration/processors/anomaly-detector/, but my best option is only use FluentBit for all the pipeline processing, including Anomaly Detection.
Thanks in advance for your help!
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