dnn.hpp 3.3 KB

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  40. //M*/
  41. #ifndef OPENCV_DNN_HPP
  42. #define OPENCV_DNN_HPP
  43. // This is an umbrella header to include into you project.
  44. // We are free to change headers layout in dnn subfolder, so please include
  45. // this header for future compatibility
  46. /** @defgroup dnn Deep Neural Network module
  47. @{
  48. This module contains:
  49. - API for new layers creation, layers are building bricks of neural networks;
  50. - set of built-in most-useful Layers;
  51. - API to construct and modify comprehensive neural networks from layers;
  52. - functionality for loading serialized networks models from different frameworks.
  53. Functionality of this module is designed only for forward pass computations (i.e. network testing).
  54. A network training is in principle not supported.
  55. @}
  56. */
  57. /** @example samples/dnn/classification.cpp
  58. Check @ref tutorial_dnn_googlenet "the corresponding tutorial" for more details
  59. */
  60. /** @example samples/dnn/colorization.cpp
  61. */
  62. /** @example samples/dnn/object_detection.cpp
  63. Check @ref tutorial_dnn_yolo "the corresponding tutorial" for more details
  64. */
  65. /** @example samples/dnn/openpose.cpp
  66. */
  67. /** @example samples/dnn/segmentation.cpp
  68. */
  69. /** @example samples/dnn/text_detection.cpp
  70. */
  71. #include <opencv2/dnn/dnn.hpp>
  72. #endif /* OPENCV_DNN_HPP */