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[MLOps 1.5] Expand the built-ins: CV#862
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January 10, 2023 16:48
dbogunowicz
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Jan 11, 2023
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What does a configuration of actually using these look like? If I wanted to use a classes thing and an image thing I'd have to specify something like: pipeline_outputs.image:
- std_per_channel
pipeline_outputs.classes:
- count_num_classes? |
corey-nm
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Jan 11, 2023
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lgtm, would be good to see some frontend examples to see how usable these all are
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bfineran
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Jan 11, 2023
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looks great overall, few comments
Co-authored-by: Benjamin Fineran <[email protected]>
Co-authored-by: Benjamin Fineran <[email protected]>
bfineran
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Jan 13, 2023
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Feature description
detected_classes, number_detected_objects, mean_score_per_detection, std_score_per_detection.float/intor a dictionary (so that in the future we can easily extract the information from the built-in functions and send them to loggers viaFunctionLogger).Coverage:
As specified in the PRD: