commit 76a1580861210e0310db23acbc29e1064ae30ead
author Kshitij Sisodia <kshitij.sisodia@arm.com> Fri Dec 24 11:05:11 2021 +0000
committer Liam Barry <liam.barry@arm.com> Fri Dec 24 14:20:36 2021 +0000
tree f947145cffd944aa3724c90745fc0e9d8e2fb2f4
parent 871fcdc755173b9f7ecb8cf9dc8dc6306329958c

MLECO-2599: Replace DSCNN with MicroNet for KWS

Added SoftMax function to Mathutils to allow MicroNet
to output probability as it does not nativelu have this layer.
Minor refactoring to accommodate Softmax Calculations
Extensive renaming and updating of documentation and resource download script.
Added SoftMax function to Mathutils to allow MicroNet
to output probability.

Change-Id: I7cbbda1024d14b85c9ac1beea7ca8fbffd0b6eb5
Signed-off-by: Liam Barry <liam.barry@arm.com>

source/application/main/include/Classifier.hpp

diff --git a/source/application/main/include/Classifier.hpp b/source/application/main/include/Classifier.hpp
index 3ee3148..d899e8e 100644
--- a/source/application/main/include/Classifier.hpp
+++ b/source/application/main/include/Classifier.hpp
@@ -42,18 +42,33 @@
          *                             populated by this function.
          * @param[in]   labels         Labels vector to match classified classes.
          * @param[in]   topNCount      Number of top classifications to pick. Default is 1.
+         * @param[in]   useSoftmax     Whether Softmax normalisation should be applied to output. Default is false.
          * @return      true if successful, false otherwise.
          **/
+
         virtual bool GetClassificationResults(
             TfLiteTensor* outputTensor,
             std::vector<ClassificationResult>& vecResults,
-            const std::vector <std::string>& labels, uint32_t topNCount);
+            const std::vector <std::string>& labels, uint32_t topNCount,
+            bool use_softmax = false);
+
+        /**
+        * @brief       Populate the elements of the Classification Result object.
+        * @param[in]   topNSet        Ordered set of top 5 output class scores and labels.
+        * @param[out]  vecResults     A vector of classification results.
+        *                             populated by this function.
+        * @param[in]   labels         Labels vector to match classified classes.
+        **/
+
+        void SetVectorResults(
+            std::set<std::pair<float, uint32_t>>& topNSet,
+            std::vector<ClassificationResult>& vecResults,
+            const std::vector <std::string>& labels);
 
     private:
         /**
          * @brief       Utility function that gets the top N classification results from the
          *              output vector.
-         * @tparam T value type
          * @param[in]   tensor       Inference output tensor from an NN model.
          * @param[out]  vecResults   A vector of classification results
          *                           populated by this function.
@@ -61,8 +76,8 @@
          * @param[in]   labels       Labels vector to match classified classes.
          * @return      true if successful, false otherwise.
          **/
-        template<typename T>
-        bool GetTopNResults(TfLiteTensor* tensor,
+
+        bool GetTopNResults(const std::vector<float>& tensor,
                             std::vector<ClassificationResult>& vecResults,
                             uint32_t topNCount,
                             const std::vector <std::string>& labels);