rknn-toolkit2-v2.1.0-2024-08-08
/
rknpu2
/examples
/3rdparty
/opencv
/opencv-linux-aarch64
/include
/opencv2
/dnn.hpp
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| //M*/ | |
| // This is an umbrella header to include into you project. | |
| // We are free to change headers layout in dnn subfolder, so please include | |
| // this header for future compatibility | |
| /** @defgroup dnn Deep Neural Network module | |
| @{ | |
| This module contains: | |
| - API for new layers creation, layers are building bricks of neural networks; | |
| - set of built-in most-useful Layers; | |
| - API to construct and modify comprehensive neural networks from layers; | |
| - functionality for loading serialized networks models from different frameworks. | |
| Functionality of this module is designed only for forward pass computations (i.e. network testing). | |
| A network training is in principle not supported. | |
| @} | |
| */ | |
| /** @example samples/dnn/classification.cpp | |
| Check @ref tutorial_dnn_googlenet "the corresponding tutorial" for more details | |
| */ | |
| /** @example samples/dnn/colorization.cpp | |
| */ | |
| /** @example samples/dnn/object_detection.cpp | |
| Check @ref tutorial_dnn_yolo "the corresponding tutorial" for more details | |
| */ | |
| /** @example samples/dnn/openpose.cpp | |
| */ | |
| /** @example samples/dnn/segmentation.cpp | |
| */ | |
| /** @example samples/dnn/text_detection.cpp | |
| */ | |