fixed batch emotion

src/ofApp.cpp

@@ -70,7 +70,7 @@ void ofApp::update(){
                 Create a dummy initial input of batch_size = 5, as 
                 when initialising the model, it will attempt to create a space in memory for this array.
                 If the batch_size does change it will completely slow down inference, due to how the cudnn_search_algo is set.
-                None of the other search alogithms bar EXHAUSTIVE will work.. no idead why.
+                None of the other search alogithms bar EXHAUSTIVE will work.. no idea why.
             */
             for(int i = 0; i < emotionImageMaxBatchSize; i++){
                 tempImage.setFromPixels(emoteImage.getPixels());
@@ -137,19 +137,17 @@ void ofApp::inferEmotionalState(){
     auto output_shap = output_tensor.GetTensorTypeAndShapeInfo().GetShape();
     size_t batch_size = output_shap[0]; // Number of images in the batch
     size_t num_classes = output_shap[1]; // Number of emotion classes
-    std::cout << batch_size << " : " << num_classes << std::endl;
-
-    // for(int i = 0; i < max_faces_to_process; ++i){
-    //     auto& face = detected_faces[i];
-    //     faceDetector.CropFaceToImage(img, face, emoteImage);
-    //     tempImage.setFromPixels(emoteImage.getPixels());
-    //     auto emotion_output_tensor = emotion.Run(tempImage);
-    //     float* emotional_data = emotion_output_tensor.front().GetTensorMutableData<float>();
-    //     emotion.Softmax(emotional_data, 7);
-    //     face.box.SetEmotionState(emotional_data);
-    // }
-
-    std::cout << croppedFaces.size() << std::endl;
+
+    float* emotional_data = output_tensor.GetTensorMutableData<float>();
+
+    for (size_t i = 0; i < max_faces_to_process; i++){
+
+        float* emotion_values = emotional_data + i * num_classes;
+
+        emotion.Softmax(emotion_values, num_classes);
+
+        detected_faces[i].box.SetEmotionState(emotion_values);
+    }
 }
 
 //--------------------------------------------------------------