Fix anomaly task

Was missing reverse input channels

Author: RHeckerIntel

src/cpp/src/tasks/anomaly.cpp

@@ -23,6 +23,7 @@ cv::Size Anomaly::serialize(std::shared_ptr<ov::Model>& ov_model) {
     std::vector<float> mean_values;
     if (ov_model->has_rt_info("model_info")) {
         auto config = ov_model->get_rt_info<ov::AnyMap>("model_info");
+        reverse_input_channels = utils::get_from_any_maps("reverse_input_channels", config, ov::AnyMap{}, reverse_input_channels);
         scale_values = utils::get_from_any_maps("scale_values", config, ov::AnyMap{}, scale_values);
         mean_values = utils::get_from_any_maps("mean_values", config, ov::AnyMap{}, mean_values);
     }

src/cpp/src/utils/preprocessing.cpp

@@ -54,7 +54,9 @@ std::shared_ptr<ov::Model> embedProcessing(std::shared_ptr<ov::Model>& model,
         ppp.input(inputName).preprocess().scale(scale);
     }
 
-    return ppp.build();
+    auto ov_model = ppp.build();
+    ov::set_batch(ov_model, 1);
+    return ov_model;
 }
 
 ov::preprocess::PostProcessSteps::CustomPostprocessOp createResizeGraph(RESIZE_MODE resizeMode,

tests/cpp/test_accuracy.cpp

@@ -104,7 +104,15 @@ TEST_P(ModelParameterizedTest, AccuracyTest) {
     } else if (data.type == "MaskRCNNModel") {
         GTEST_SKIP();
     } else if (data.type == "AnomalyDetection") {
-        GTEST_SKIP();
+        auto model = Anomaly::load(model_path);
+
+        for (auto& test_data : data.test_data) {
+            std::string image_path = DATA_DIR + '/' + test_data.image;
+            cv::Mat image = cv::imread(image_path);
+            auto result = model.infer(image);
+
+            EXPECT_EQ(std::string{result}, test_data.reference[0]);
+        }
     } else {
         FAIL() << "No implementation for model type " << data.type;
     }