add dnn::Net functions

src/OpenCvSharp/Modules/dnn/Net.cs

@@ -253,6 +253,42 @@ public void Forward(IEnumerable<Mat> outputBlobs, IEnumerable<string> outBlobNam
             GC.KeepAlive(this);
         }
 
+        /// <summary>
+        /// Compile Halide layers.
+        /// Schedule layers that support Halide backend. Then compile them for 
+        /// specific target.For layers that not represented in scheduling file 
+        /// or if no manual scheduling used at all, automatic scheduling will be applied.
+        /// </summary>
+        /// <param name="scheduler">Path to YAML file with scheduling directives.</param>
+        public void SetHalideScheduler(string scheduler)
+        {
+            ThrowIfDisposed();
+            NativeMethods.dnn_Net_setHalideScheduler(ptr, scheduler);
+            GC.KeepAlive(this);
+        }
+
+        /// <summary>
+        /// Ask network to use specific computation backend where it supported.
+        /// </summary>
+        /// <param name="backendId">backend identifier.</param>
+        public void SetPreferableBackend(int backendId)
+        {
+            ThrowIfDisposed();
+            NativeMethods.dnn_Net_setPreferableBackend(ptr, backendId);
+            GC.KeepAlive(this);
+        }
+
+        /// <summary>
+        /// Ask network to make computations on specific target device.
+        /// </summary>
+        /// <param name="targetId">target identifier.</param>
+        public void SetPreferableTarget(int targetId)
+        {
+            ThrowIfDisposed();
+            NativeMethods.dnn_Net_setPreferableTarget(ptr, targetId);
+            GC.KeepAlive(this);
+        }
+
         /// <summary>
         /// Sets the new value for the layer output blob
         /// </summary>
@@ -272,6 +308,38 @@ public void SetInput(Mat blob, string name = "")
             GC.KeepAlive(this);
         }
 
+        /// <summary>
+        /// Enables or disables layer fusion in the network.
+        /// </summary>
+        /// <param name="fusion">true to enable the fusion, false to disable. The fusion is enabled by default.</param>
+        public void EnableFusion(bool fusion)
+        {
+            ThrowIfDisposed();
+            NativeMethods.dnn_Net_enableFusion(ptr, fusion ? 1 : 0);
+            GC.KeepAlive(this);
+        }
+
+        /// <summary>
+        /// 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.
+        /// </summary>
+        /// <param name="timings">vector for tick timings for all layers.</param>
+        /// <returns>overall ticks for model inference.</returns>
+        public long GetPerfProfile(out double[] timings)
+        {
+            ThrowIfDisposed();
+
+            using (var timingsVec = new VectorOfDouble())
+            {
+                var ret = NativeMethods.dnn_Net_getPerfProfile(ptr, timingsVec.CvPtr);
+                GC.KeepAlive(this);
+
+                timings = timingsVec.ToArray();
+                return ret;
+            }
+        }
+
         #endregion
     }
 }

src/OpenCvSharp/PInvoke/dnn/NativeMethods_dnn_Net.cs

@@ -44,8 +44,23 @@ public static extern void dnn_Net_forward2(
         [DllImport(DllExtern, CallingConvention = CallingConvention.Cdecl, ExactSpelling = true, BestFitMapping = false, ThrowOnUnmappableChar = true)]
         public static extern void dnn_Net_forward3(
             IntPtr net, IntPtr[] outputBlobs, int outputBlobsLength, string[] outBlobNames, int outBlobNamesLength);
+
+        [DllImport(DllExtern, CallingConvention = CallingConvention.Cdecl, ExactSpelling = true, BestFitMapping = false, ThrowOnUnmappableChar = true)]
+        public static extern void dnn_Net_setHalideScheduler(IntPtr net, [MarshalAs(UnmanagedType.LPStr)] string scheduler);
+
+        [DllImport(DllExtern, CallingConvention = CallingConvention.Cdecl, ExactSpelling = true, BestFitMapping = false, ThrowOnUnmappableChar = true)]
+        public static extern void dnn_Net_setPreferableBackend(IntPtr net, int backendId);
+
+        [DllImport(DllExtern, CallingConvention = CallingConvention.Cdecl, ExactSpelling = true, BestFitMapping = false, ThrowOnUnmappableChar = true)]
+        public static extern void dnn_Net_setPreferableTarget(IntPtr net, int targetId);
 
         [DllImport(DllExtern, CallingConvention = CallingConvention.Cdecl, ExactSpelling = true, BestFitMapping = false, ThrowOnUnmappableChar = true)]
         public static extern void dnn_Net_setInput(IntPtr net, IntPtr blob, [MarshalAs(UnmanagedType.LPStr)] string name);
+
+        [DllImport(DllExtern, CallingConvention = CallingConvention.Cdecl, ExactSpelling = true, BestFitMapping = false, ThrowOnUnmappableChar = true)]
+        public static extern void dnn_Net_enableFusion(IntPtr net, int fusion);
+
+        [DllImport(DllExtern, CallingConvention = CallingConvention.Cdecl, ExactSpelling = true, BestFitMapping = false, ThrowOnUnmappableChar = true)]
+        public static extern Int64 dnn_Net_getPerfProfile(IntPtr net, IntPtr timings);
     }
 }

src/OpenCvSharpExtern/dnn_Net.h

@@ -81,10 +81,35 @@ CVAPI(void) dnn_Net_forward3(
 	net->forward(outputBlobsVec, outBlobNamesVec);
 }
 
+CVAPI(void) dnn_Net_setHalideScheduler(cv::dnn::Net* net, const char *scheduler)
+{
+    net->setHalideScheduler(scheduler);
+}
+
+CVAPI(void) dnn_Net_setPreferableBackend(cv::dnn::Net* net, int backendId)
+{
+    net->setPreferableBackend(backendId);
+}
+
+CVAPI(void) dnn_Net_setPreferableTarget(cv::dnn::Net* net, int targetId)
+{
+    net->setPreferableTarget(targetId);
+}
+
 CVAPI(void) dnn_Net_setInput(cv::dnn::Net* net, const cv::Mat *blob, const char *name)
 {
-	const cv::String nameStr = (name == nullptr) ? "" : cv::String(name);
-	net->setInput(*blob, name);
+    const cv::String nameStr = (name == nullptr) ? "" : cv::String(name);
+    net->setInput(*blob, name);
+}
+
+CVAPI(void) dnn_Net_enableFusion(cv::dnn::Net* net, int fusion)
+{
+    net->enableFusion(fusion != 0);
+}
+
+CVAPI(int64) dnn_Net_getPerfProfile(cv::dnn::Net* net, std::vector<double> *timings)
+{
+    return net->getPerfProfile(*timings);
 }
 
 #endif