Change the code for Emotion detection video

Presently/presently/users/emotiondetectionvideo.py

@@ -5,7 +5,7 @@ import sys
 import pandas as pd
 import numpy as np
 
-location_videofile = "F:\\CDAP-PRESENTLY\\21_22-j-02\\Presently\\presently\\media\\video\\22\\publicspeech.mp4"
+location_videofile = "F:\\CDAP-PRESENTLY\\21_22-j-02\\Presently\\presently\\media\\video\\22\\testvideo.mp4"
 cascPath = "F:\\CDAP-PRESENTLY\\21_22-j-02\\Presently\\presently\\users\\models\\abc.xml"
 
 def _get_labels():
@@ -68,9 +68,11 @@ from collections import OrderedDict
 from matplotlib import pyplot as plt
 import cv2
 from tensorflow.keras.models import load_model
+
 def detect_emotions(location_videofile, NumberofFrames):
 
   PADDING = 40
+  NumberofFrames = 50
   emotion_labels = _get_labels()
   arry = {}
 
@@ -126,7 +128,7 @@ def detect_emotions(location_videofile, NumberofFrames):
                 except Exception as e:
                   continue
                 
-                gray_face = __preprocess_input(gray_face, True)
+                #gray_face = __preprocess_input(gray_face, True)
                 gray_face = np.expand_dims(np.expand_dims(gray_face, 0), -1)
 
                 emotion_prediction = model.predict(gray_face)[0]
@@ -150,8 +152,8 @@ def detect_emotions(location_videofile, NumberofFrames):
           vidcap.release()
           break
   if len(arry) == 0:
-    return "Cannot detect emotion", arry
+    return "Neutral"
   else:
-    return max(arry, key=arry.get), arry
+    return max(arry, key=arry.get)
 
 emo, arr1 = detect_emotions(location_videofile, 300)