OAK Information#22501
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| Depth sensors compatible with DepthAI library are supported through OpenCV Graph API (or G-API) module. Depth map, RGB image and some other formats of output can be retrieved by using familiar interface of G-API module. | ||
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| In order to use DepthAI sensor with OpenCV you should do the following preliminary steps: | ||
| -# Install Intel DepthAI library/depthai-core (from here <https://github.com/luxonis/depthai-core>). |
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Luxonis DepthAI library
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Why it has been resolved?
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@cabelo Intel -> Luxonis. Also it makes sense to use markdown notation for the link.
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@cabelo Please resolve CI warnings: https://pullrequest.opencv.org/buildbot/builders/precommit_docs/builds/101063/steps/make%20doxygen/logs/warnings%20%281%29 |
Sorry done. |
done |
@dmatveev I removed you from the request unintentionally. sorry |
dmatveev
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Thanks @cabelo for your contribution!
While this tutorial might be a good starting point, there's a number of points how it can be improved to bring more value to the users:
- See comments for the changeset
- Ideally we need to explain what happens here, and what can & can't be done with the OAK backend. Why do we need copy, why there's a certain camera input source needs to be used, etc. Let @smirnov-alexey help with that
-Dmitry
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Hi @cabelo! Thanks for your contribution! There are some things to consider here:
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@smirnov-alexey Thanks for the support, I changed the example to oak_basic_infer.cpp Can we close this request like this? I'm interested in extending the tutorial in next request ok? |
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@dmatveev have something else to do? |
@smirnov-alexey have something else to do? |
Hi @cabelo there are some minor fixes left. However, I still think that tutorial could be extended (explaining |
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Sorry I was away for quite a while. Sure I am fine with the tutor now. Thanks a lot!
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@cabelo Please squash the commits before merge. |
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@cabelo I squashed commits and fixed several formatting issues and typos. Will merge the final PR soon. |
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Patch to opencv_extra has the same branch name.