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Merge pull request #29220 from omrope79:doc_optimizations_v4

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[FOLLOW UP] : Documentation optimizations for the new Sphinx structure #29220

### Pull Request Readiness Checklist

This PR serves as a follow-up to the new documentation system introduced in [#29206](https://github.com/opencv/opencv/pull/29206)
Co-authored by: @abhishek-gola @kirtijindal14 @Akansha-977 @Prasadayus @varun-jaiswal17

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
This commit is contained in:
omrope79
2026-06-05 16:48:27 +05:30
committed by GitHub
parent c9e7878a1d
commit 04aee009aa
43 changed files with 3468 additions and 650 deletions
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doc/tutorials/introduction/android_binary_package/android_dnn_intro.markdown
+4 -4
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@@ -26,9 +26,9 @@ Tutorial was written for Android Studio 2022.2.1.
- Get the latest pre-built OpenCV for Android release from https://github.com/opencv/opencv/releases
and unpack it (for example, `opencv-4.X.Y-android-sdk.zip`, minimum version 4.9 is required).
- Download MobileNet object detection model from https://github.com/chuanqi305/MobileNet-SSD.
Configuration file `MobileNetSSD_deploy.prototxt` and model weights `MobileNetSSD_deploy.caffemodel`
are required.
- Download the MobileNet-SSD object detection model in ONNX format and save it as
`mobilenet.onnx`. This single file contains both the network topology and its
trained weights.
## Create an empty Android Studio project and add OpenCV dependency
@@ -59,7 +59,7 @@ a correct screen orientation and allow to use a camera.
@snippet android/mobilenet-objdetect/src/org/opencv/samples/opencv_mobilenet/MainActivity.java mobilenet_tutorial_package
@snippet android/mobilenet-objdetect/src/org/opencv/samples/opencv_mobilenet/MainActivity.java mobilenet_tutorial
- Put downloaded `deploy.prototxt` and `mobilenet_iter_73000.caffemodel`
- Put the downloaded `mobilenet.onnx`
into `app/src/main/res/raw` folder. OpenCV DNN model is mainly designed to load ML and DNN models
from file. Modern Android does not allow it without extra permissions, but provides Java API to load
bytes from resources. The sample uses alternative DNN API that initializes a model from in-memory