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Simple and streamlined conversion of custom models to coreml
Motivation & Examples
this feature would help to deploy custom trained models on ios devices
the feature could be as simple as a saving format to coreml
Note
We only consider adding new features if they are relevant to many users.
If you request implementation of research papers -- we only consider papers that have enough significance and prevalance in the object detection field.
We do not take requests for most projects in the projects/ directory, because they are research code release that is mainly for other researchers to reproduce results.
"Make X faster/accurate" is not a valid feature request. "Implement a concrete feature that can make X faster/accurate" can be a valid feature request.
Instead of adding features inside detectron2,
you can implement many features by extending detectron2.
The projects/ directory contains many of such examples.
The text was updated successfully, but these errors were encountered:
🚀 Feature
Simple and streamlined conversion of custom models to coreml
Motivation & Examples
this feature would help to deploy custom trained models on ios devices
the feature could be as simple as a saving format to coreml
Note
We only consider adding new features if they are relevant to many users.
If you request implementation of research papers -- we only consider papers that have enough significance and prevalance in the object detection field.
We do not take requests for most projects in the
projects/
directory, because they are research code release that is mainly for other researchers to reproduce results."Make X faster/accurate" is not a valid feature request. "Implement a concrete feature that can make X faster/accurate" can be a valid feature request.
Instead of adding features inside detectron2,
you can implement many features by extending detectron2.
The projects/ directory contains many of such examples.
The text was updated successfully, but these errors were encountered: