* Update dnn.hpp
getPerfProfile is not supported by the CUDA backend, see https://github.com/opencv/opencv/issues/20077
* dnn.hpp: fix doxygen formatting
CV_WRAP void enableFusion(bool fusion);
/** @brief Returns overall time for inference and timings (in ticks) for layers.
+ *
* Indexes in returned vector correspond to layers ids. Some layers can be fused with others,
- * in this case zero ticks count will be return for that skipped layers.
- * @param timings vector for tick timings for all layers.
+ * in this case zero ticks count will be return for that skipped layers. Supported by DNN_BACKEND_OPENCV on DNN_TARGET_CPU only.
+ *
+ * @param[out] timings vector for tick timings for all layers.
* @return overall ticks for model inference.
*/
CV_WRAP int64 getPerfProfile(CV_OUT std::vector<double>& timings);