Improve document of cv::RotatedRect for #23335#23342fix#23335
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don't ignore documentation for cv::format in doxygen #23555
Issue https://github.com/opencv/opencv/issues/23553
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AGP 8.0 build.gradle namespace and aidl buildFeature requirement added #23447
Hello,
Android Gradle Plugin version 8.0 is asking for namespace. This is become mandatory and after I update my AGP to 8.0, I got this error
```
Namespace not specified. Please specify a namespace in the module's build.gradle file like so:
android {
namespace 'com.example.namespace'
}
If the package attribute is specified in the source AndroidManifest.xml, it can be migrated automatically to the namespace value in the build.gradle file using the AGP Upgrade Assistant; please refer to https://developer.android.com/studio/build/agp-upgrade-assistant for more information.
```
This change fix this future releases. However I am not sure how opencv wants to user namespace I used "org.opencv" if there is a different namespace please let me know so I can changed that too. Also should I add namepsace into "opencv/modules/java/android_sdk/android_gradle_lib/build.gradle" here ?
### Sources
Android developer link: https://developer.android.com/studio/preview/features#namespace-dsl
Issue Tracker Google: https://issuetracker.google.com/issues/191813691?pli=1#comment19
### Pull Request Readiness Checklist
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Fixed a typo in `documentation.yml` and `feature_request.yml` #23538
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- N/A There is a reference to the original bug report and related work
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Add charuco pattern into calibration.cpp #23486
Added charuco pattern into calibration.cpp. Added charuco pattern with predefined aruco dictionary and with dictionary from file.
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Import and inference INT8 quantized TFLite model #23409
### Pull Request Readiness Checklist
* Support quantized TFLite models
* Enable fused activations (FP32, INT8)
**Merge with extra**: https://github.com/opencv/opencv_extra/pull/1048
on the image, green boxes are from TFLite and red boxes from OpenCV
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Fix ONNX parser for single-layer LSTM hidden and cell states #23475
### Fix ONNX parser for single-layer LSTM hidden and cell states
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This PR addresses #21118 [issue](https://github.com/opencv/opencv/issues/21118). The problem is that the ONNX parser is unable to read the hidden state and cell state for single-layer LSTMs. This PR fixes the issue by updating the parser to correctly read hidden and cell states.
Add python sample of how to use Orbbec camera. #23531
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DNN: Add New API blobFromImageParam #22750
The purpose of this PR:
1. Add new API `blobFromImageParam` to extend `blobFromImage` API. It can support the different data layout (NCHW or NHWC), and letter_box.
2. ~~`blobFromImage` can output `CV_16F`~~
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dnn: Support more operators in CANN backend #23401
This PR adds the support of following layers:
- [x] Sub
- [x] PRelu
- [x] DeConv
- [x] Also warn users if backend is switched back to default if some of the layers are not supported.
- [ ] [Dropped] LSTM: some hacks (adding layers) were introduced which makes it even harder to build the graph for CANN backend.
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Added LSTM and GRU tests for various batch and input length sizes #23501
Added tests with various sequence length and batch sizes
Test data: https://github.com/opencv/opencv_extra/pull/1057
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* Replaced most remaining sprintf with snprintf
* Deprecated encodeFormat and introduced new method that takes the buffer length
* Also increased buffer size at call sites to be a little bigger, in case int is 64 bit
