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A clear and concise description of the feature proposal.
For easying the distribution of my programs with detectron2 on windows platforms I want to can launch predictions of detectron2 with C++ DLLs and onnx converted models
Motivation & Examples
Tell us why the feature is useful.
onnx speeds up prediction and C++ Dlls are more distributables than entire Python environments
Describe what the feature would look like, if it is implemented.
Best demonstrated using code examples in addition to words.
a complete example of code source with detectron2 all models compatible examples sources in Visual Studio C++
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
A clear and concise description of the feature proposal.
For easying the distribution of my programs with detectron2 on windows platforms I want to can launch predictions of detectron2 with C++ DLLs and onnx converted models
Motivation & Examples
Tell us why the feature is useful.
onnx speeds up prediction and C++ Dlls are more distributables than entire Python environments
Describe what the feature would look like, if it is implemented.
Best demonstrated using code examples in addition to words.
a complete example of code source with detectron2 all models compatible examples sources in Visual Studio C++
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: