Committing the implementation of the Gaze estimation period statistics in Lecturer Home Page

FirstApp/admin.py

@@ -12,3 +12,4 @@ admin.site.register(LecturerCredentials)
 admin.site.register(FacultyTimetable)
 admin.site.register(LectureVideo)
 admin.site.register(LectureActivity)
+admin.site.register(LectureGazeEstimation)
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FirstApp/api.py

@@ -668,10 +668,15 @@ class GetStudentBehaviorSummaryForPeriod(APIView):
         isRecordFound = False
         activity_percentages = {}
         emotion_percentages = {}
+        gaze_estimation_percentages = {}
+
         individual_lec_activties = []
         individual_lec_emotions = []
+        individual_lec_gaze_estimations = []
+
         activity_labels = []
         emotion_labels = []
+        gaze_estimation_labels = []
 
 
         current_date = datetime.datetime.now().date()
@@ -705,13 +710,29 @@ class GetStudentBehaviorSummaryForPeriod(APIView):
             emotion_percentages, individual_lec_emotions, emotion_labels = ed.get_student_emotion_summary_for_period(emotion_data)
 
 
+        # retrieving lecture gaze estimations
+        lec_gaze_estimation = LectureGazeEstimation.objects.filter(
+            lecture_video_id__date__gte=previous_date,
+            lecture_video_id__date__lte=current_date,
+            lecture_video_id__lecturer=lecturer
+        )
+
+        # if there are gaze estimation data
+        if len(lec_gaze_estimation) > 0:
+            gaze_estimation_serializer = LectureGazeEstimationSerializer(lec_gaze_estimation, many=True)
+            gaze_estimation_data = gaze_estimation_serializer.data
+            gaze_estimation_percentages, individual_lec_gaze_estimations, gaze_estimation_labels = hge.get_student_gaze_estimation_summary_for_period(gaze_estimation_data)
+
 
         return Response({
             "activity_response": activity_percentages,
             "emotion_response": emotion_percentages,
+            "gaze_estimation_response": gaze_estimation_percentages,
             "individual_activities": individual_lec_activties,
             "individual_emotions": individual_lec_emotions,
+            "individual_gaze_estimations": individual_lec_gaze_estimations,
             "activity_labels": activity_labels,
             "emotion_labels": emotion_labels,
+            "gaze_estimation_labels": gaze_estimation_labels,
             "isRecordFound": isRecordFound
         })

FirstApp/logic/head_gaze_estimation.py

@@ -555,3 +555,57 @@ def get_lecture_gaze_esrimation_for_frames(video_name):
 
 
     return frame_detections, frame_rate
+
+
+def get_student_gaze_estimation_summary_for_period(gaze_estimation_data):
+    # declare variables to add percentage values
+    phone_checking_perct_combined = 0.0
+    listening_perct_combined = 0.0
+    note_taking_perct_combined = 0.0
+
+    looking_up_right_perct_combined = 0.0
+    looking_up_left_perct_combined = 0.0
+    looking_down_right_perct_combined = 0.0
+    looking_down_left_perct_combined = 0.0
+    looking_front_perct_combined = 0.0
+
+    # get the number of activties to calculate average
+    no_of_gaze_estimations = len(gaze_estimation_data)
+
+    individual_lec_gaze_estimations = []
+
+    gaze_estimation_labels = ["looking_up_and_right_perct", "looking_up_and_left_perct", "looking_down_and_right_perct", "looking_down_and_left_perct", "looking_front_perct"]
+
+    # iterate through the activities
+    for gaze_estimation in gaze_estimation_data:
+        individual_gaze_estimation = {}
+        individual_gaze_estimation["looking_up_and_right_perct"] = float(gaze_estimation['looking_up_and_right_perct'])
+        individual_gaze_estimation["looking_up_and_left_perct"] = float(gaze_estimation['looking_up_and_left_perct'])
+        individual_gaze_estimation["looking_down_and_right_perct"] = float(gaze_estimation['looking_down_and_right_perct'])
+        individual_gaze_estimation["looking_down_and_left_perct"] = float(gaze_estimation['looking_down_and_left_perct'])
+        individual_gaze_estimation["looking_front_perct"] = float(gaze_estimation['looking_front_perct'])
+
+        looking_up_right_perct_combined += float(gaze_estimation['looking_up_and_right_perct'])
+        looking_up_left_perct_combined += float(gaze_estimation['looking_up_and_left_perct'])
+        looking_down_right_perct_combined += float(gaze_estimation['looking_down_and_right_perct'])
+        looking_down_left_perct_combined += float(gaze_estimation['looking_down_and_left_perct'])
+        looking_front_perct_combined += float(gaze_estimation['looking_front_perct'])
+
+        # append to the list
+        individual_lec_gaze_estimations.append(individual_gaze_estimation)
+
+    # calculate the average percentages
+    looking_up_right_average_perct = round((looking_up_right_perct_combined / no_of_gaze_estimations), 1)
+    looking_up_left_perct = round((looking_up_left_perct_combined / no_of_gaze_estimations), 1)
+    looking_down_right_average_perct = round((looking_down_right_perct_combined / no_of_gaze_estimations), 1)
+    looking_down_left_average_perct = round((looking_down_left_perct_combined / no_of_gaze_estimations), 1)
+    looking_front_average_perct = round((looking_front_perct_combined / no_of_gaze_estimations), 1)
+
+    percentages = {}
+    percentages["looking_up_and_right_perct"] = looking_up_right_average_perct
+    percentages["looking_up_and_left_perct"] = looking_up_left_perct_combined
+    percentages["looking_down_and_right_perct"] = looking_down_right_perct_combined
+    percentages["looking_down_and_left_perct"] = looking_down_left_perct_combined
+    percentages["looking_front_perct"] = looking_front_average_perct
+
+    return percentages, individual_lec_gaze_estimations, gaze_estimation_labels
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