vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e

2026-08-22 00:11:13 +08:00
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+Upscaling video {#tutorial_dnn_superres_upscale_video}
+===========================
+
+In this tutorial you will learn how to use the 'dnn_superres' interface to upscale video via pre-trained neural networks.
+
+Building
+----
+
+When building OpenCV, run the following command to build all the contrib module:
+
+```make
+cmake -D OPENCV_EXTRA_MODULES_PATH=<opencv_contrib>/modules/
+```
+
+Or only build the dnn_superres module:
+
+```make
+cmake -D OPENCV_EXTRA_MODULES_PATH=<opencv_contrib>/modules/dnn_superres
+```
+
+Or make sure you check the dnn_superres module in the GUI version of CMake: cmake-gui.
+
+Source Code of the sample
+-----------
+
+@includelineno dnn_superres/samples/dnn_superres_video.cpp
+
+Explanation
+-----------
+
+-#  **Set header and namespaces**
+    @code{.cpp}
+    #include <opencv2/dnn_superres.hpp>
+    using namespace std;
+    using namespace cv;
+    using namespace dnn_superres;
+    @endcode
+-#  **Create the Dnn Superres object**
+    @code{.cpp}
+    DnnSuperResImpl sr;
+    @endcode
+    Instantiate a dnn super-resolution object.
+-#  **Read the model**
+    @code{.cpp}
+    path = "models/ESPCN_x2.pb"
+    sr.readModel(path);
+    sr.setModel("espcn", 2);
+    @endcode
+    Read the model from the given path and sets the algorithm and scaling factor.
+-#  **Upscale a video**
+    @code{.cpp}
+    for(;;)
+    {
+        Mat frame, output_frame;
+        input_video >> frame;
+        if ( frame.empty() )
+            break;
+        sr.upsample(frame, output_frame);
+        ...
+    }
+    @endcode
+    Process and upsample video frame by frame.