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Update tutorials #26441 ### Pull Request Readiness Checklist 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 - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake
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Deep Neural Networks (dnn module)
@tableofcontents
- @subpage tutorial_dnn_googlenet
- @subpage tutorial_dnn_halide
- @subpage tutorial_dnn_halide_scheduling
- @subpage tutorial_dnn_openvino
- @subpage tutorial_dnn_yolo
- @subpage tutorial_dnn_javascript
- @subpage tutorial_dnn_custom_layers
- @subpage tutorial_dnn_OCR
- @subpage tutorial_dnn_text_spotting
- @subpage tutorial_dnn_face
PyTorch models with OpenCV
In this section you will find the guides, which describe how to run classification, segmentation and detection PyTorch DNN models with OpenCV.
- @subpage pytorch_cls_tutorial_dnn_conversion
- @subpage pytorch_cls_c_tutorial_dnn_conversion
- @subpage pytorch_segm_tutorial_dnn_conversion
TensorFlow models with OpenCV
In this section you will find the guides, which describe how to run classification, segmentation and detection TensorFlow DNN models with OpenCV.
- @subpage tf_cls_tutorial_dnn_conversion
- @subpage tf_det_tutorial_dnn_conversion
- @subpage tf_segm_tutorial_dnn_conversion