add the best model

README.md

@@ -7,6 +7,7 @@ The goal of the project is to create a system that recognizes emotions in real t
 ## Start system
 
 - unpack input.zip file
+- <code> pip install -r < requirements.txt <code>>
 - <code>python project.py</code>
 
 ## Train and use model

project.py

@@ -27,22 +27,11 @@ while True:
         pred = loaded_model.predict(roi[np.newaxis, :, :, np.newaxis])
         text_idx=np.argmax(pred)
         text_list = ['Angry', 'Disgust', 'Fear', 'Happy', 'Neutral', 'Sad', 'Surprise']
-        if text_idx == 0:
+        try:
-            text= text_list[0]
+            text = text_list[text_idx]
-        if text_idx == 1:
+        except:
-            text= text_list[1]
+            text = 'err'
-        elif text_idx == 2:
+        cv2.putText(img, text, (x, y-5), cv2.FONT_HERSHEY_SIMPLEX, 2.5, (255, 0, 255), 2)
-            text= text_list[2]
-        elif text_idx == 3:
-            text= text_list[3]
-        elif text_idx == 4:
-            text= text_list[4]
-        elif text_idx == 5:
-            text= text_list[5]
-        elif text_idx == 6:
-            text= text_list[6]
-        cv2.putText(img, text, (x, y-5),
-           cv2.FONT_HERSHEY_SIMPLEX, 0.45, (255, 0, 255), 2)
         img = cv2.rectangle(img, (x,y), (x+w, y+h), (0,0,255), 2)
             
     

requirements.txt

@@ -0,0 +1,13 @@
+tensorflow-addons==0.16.1
+tensorflow-datasets==4.6.0
+tensorflow-estimator==2.10.0
+tensorflow==2.11.0
+tensorflow-metadata==1.10.0
+opencv-contrib-python==4.5.5.62
+numpy==1.23.3
+matplotlib==3.6.0
+matplotlib-inline==0.1.6
+pandas==1.5.2
+kaggle==1.5.12
+keras==2.10.0
+Keras-Preprocessing==1.1.2