openvino: Make checkNet to verify multiple layers

Dockerfile.opencv-openvino

@@ -5,13 +5,15 @@ LABEL maintainer="hybridgroup"
 ENV DEBIAN_FRONTEND=noninteractive
 USER root
 RUN apt-get update && apt-get install -y --no-install-recommends \
-            git build-essential cmake pkg-config unzip libgtk2.0-dev \
+            git build-essential cmake pkg-config unzip libgtk2.0-dev libgtk-3-0 \
             wget curl ca-certificates libcurl4-openssl-dev libssl-dev \
             libavcodec-dev libavformat-dev libswscale-dev libtbb2 libtbb-dev \
-            libjpeg-dev libpng-dev libtiff-dev libdc1394-22-dev && \
+            libjpeg-dev libpng-dev libtiff-dev libdc1394-22-dev libcanberra-gtk-module \
+            libcanberra-gtk3-module && \
             rm -rf /var/lib/apt/lists/*
 
 ARG OPENCV_VERSION="4.6.0"
+
 ENV OPENCV_VERSION $OPENCV_VERSION
 
 RUN curl -Lo opencv.zip https://github.com/opencv/opencv/archive/${OPENCV_VERSION}.zip && \
@@ -39,7 +41,6 @@ RUN curl -Lo opencv.zip https://github.com/opencv/opencv/archive/${OPENCV_VERSIO
             -D BUILD_opencv_python3=NO \
             -D WITH_TBB=ON \
             -D WITH_OPENVINO=1 \
-            -D ENABLE_FAST_MATH=1 \
             -D OPENCV_GENERATE_PKGCONFIG=ON .. && \
     make -j $(nproc --all) && \
     make preinstall && make install && ldconfig && \

dnn.cpp

@@ -143,7 +143,6 @@ void Net_GetLayerNames(Net net, CStrings* names) {
 
     names->length = cstrs.size();
     names->strs = strs;
-    return;
 }
 
 Mat Net_BlobFromImage(Mat image, double scalefactor, Size size, Scalar mean, bool swapRB,

dnn_test.go

@@ -56,8 +56,27 @@ func checkNet(t *testing.T, net Net) {
 		t.Errorf("Invalid len layer names in ReadNet test: %d\n", len(lnames))
 	}
 
-	if len(lnames) == 142 && lnames[1] != "conv1/relu_7x7" {
-		t.Errorf("Invalid layer name in ReadNet test: %s\n", lnames[1])
+	m := map[int]string{
+		0:   "conv1/7x7_s2",
+		10:  "inception_3a/1x1",
+		20:  "inception_3a/pool",
+		30:  "inception_3b/5x5_reduce",
+		40:  "inception_4a/relu_1x1",
+		50:  "inception_4a/pool_proj",
+		60:  "inception_4b/relu_5x5_reduce",
+		70:  "inception_4c/relu_3x3_reduce",
+		80:  "inception_4c/output",
+		90:  "inception_4d/relu_5x5",
+		100: "inception_4e/relu_3x3",
+		110: "inception_5a/1x1",
+		120: "inception_5a/pool",
+		130: "inception_5b/5x5_reduce",
+		140: "loss3/classifier"}
+
+	for k, v := range m {
+		if lnames[k] != v {
+			t.Errorf("Invalid layer name in ReadNet test: \"%s\" (expected=\"%s\")\n", lnames[k], v)
+		}
 	}
 
 	prob := net.ForwardLayers([]string{"prob"})