bug fixed

0_Introduction.py

@@ -7,47 +7,32 @@ initialize_level()
 
 LEVEL = 0
 
-import cv2
-
-
-
 def intro_page():
-    st.title("Webcam Live Feed")
-    run = st.checkbox('Run')
-    FRAME_WINDOW = st.image([])
-    camera = cv2.VideoCapture(0)
-
-    while run:
-        _, frame = camera.read()
-        frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
-        FRAME_WINDOW.image(frame)
-    else:
-        st.write('Stopped')
-    # st.header("Face Recognition")
-    # st.subheader("Introduction")
-
-    # st.write(
-    #     """
-    #     Welcome to the interactive tutorial on creating your very own Face Recognition Application!
-    #     """
-    # )
-    #
-    # st.image(
-    #     "https://static.wixstatic.com/media/abb909_35aa4b27e4b840659a20fd69f0a18354~mv2.gif",
-    #     use_column_width=True,
-    # )
-    #
-    # st.write(
-    #     """
-    #     In this tutorial, you will learn how to build a simple application that can detect and recognise faces from a given photo. Face recognition has revolutionized
-    # various industries, including security, entertainment, and personal identification. Are you ready to dive into the exciting world of face recognition?
-    # """
-    # )
-    #
-    # st.info(f"Click on the button below to start the tutorial!")
-    #
-    # if st.button("I am Ready!"):
-    #     complete_level(LEVEL)
+    st.header("Face Recognition")
+    st.subheader("Introduction")
+
+    st.write(
+        """
+        Welcome to the interactive tutorial on creating your very own Face Recognition Application!
+        """
+    )
+
+    st.image(
+        "https://static.wixstatic.com/media/abb909_35aa4b27e4b840659a20fd69f0a18354~mv2.gif",
+        use_column_width=True,
+    )
+
+    st.write(
+        """
+        In this tutorial, you will learn how to build a simple application that can detect and recognise faces from a given photo. Face recognition has revolutionized
+    various industries, including security, entertainment, and personal identification. Are you ready to dive into the exciting world of face recognition?
+    """
+    )
+
+    st.info(f"Click on the button below to start the tutorial!")
+
+    if st.button("I am Ready!"):
+        complete_level(LEVEL)
 
 
 render_page(intro_page, LEVEL)

assets/quiz.json

@@ -1,92 +1,89 @@
 [
     {
-        "question": "Which of the following best describes emotion detection?",
+        "question": "What is face recognition?",
         "options": [
-            "Teaching computers to understand human emotions",
-            "Teaching humans to understand computer languages",
-            "Teaching computers to create video games",
-            "Teaching humans to recognize facial features"
+            "The ability to detect emotions through facial expressions.",
+            "The process of identifying or verifying a person's identity through their facial features.",
+            "The act of analyzing facial beauty and attractiveness."
         ],
-        "answer": "Teaching computers to understand human emotions"
+        "answer": "The process of identifying or verifying a person's identity through their facial features."
     },
     {
-        "question": "What programming language is commonly used in developing emotion detection applications?",
+        "question": "Which technology is commonly used for face recognition?",
         "options": [
-            "Python",
-            "Java",
-            "C++",
-            "Ruby"
+            "Voice recognition",
+            "Fingerprint recognition",
+            "Iris recognition",
+            "All of the above"
         ],
-        "answer": "Python"
+        "answer": "Iris recognition"
     },
     {
-        "question": "What is the purpose of OpenCV in an emotion detection application?",
-        "options": [
-            "To analyze and manipulate images and videos",
-            "To recognize and understand human emotions",
-            "To create graphical user interfaces",
-            "To generate statistical reports"
-        ],
-        "answer": "To analyze and manipulate images and videos"
+        "question": "True or False: Face recognition can only be used for security purposes.",
+        "options": ["True", "False"],
+        "answer": "False"
     },
     {
-        "question": "Why is it important to have a diverse dataset when training an emotion detection model?",
+        "question": "What is the primary biometric characteristic used in face recognition?",
         "options": [
-            "It helps the model better understand different facial expressions",
-            "It improves the performance of the computer's processor",
-            "It makes the application run faster",
-            "It reduces the training time for the model"
+            "Eye color",
+            "Facial hair",
+            "Facial structure",
+            "Skin color"
         ],
-        "answer": "It helps the model better understand different facial expressions"
+        "answer": "Facial structure"
     },
     {
-        "question": "What is the final step after training the model in an emotion detection application?",
+        "question": "Which of the following is a potential application of face recognition technology?",
         "options": [
-            "Collect more data for training",
-            "Test the model's accuracy and performance",
-            "Install additional software plugins",
-            "Optimize the application's user interface"
+            "Unlocking smartphones",
+            "Airport security",
+            "Monitoring attendance in schools",
+            "All of the above"
         ],
-        "answer": "Test the model's accuracy and performance"
+        "answer": "All of the above"
     },
     {
-        "question": "How does the inference process work in an emotion detection application?",
+        "question": "What is the main advantage of face recognition over other biometric methods?",
         "options": [
-            "It analyzes facial features and predicts the associated emotion",
-            "It collects user feedback and improves the model's accuracy",
-            "It converts emotions into numerical values for analysis",
-            "It adjusts the application's settings based on user preferences"
+            "It is less expensive to implement.",
+            "It is more secure and accurate.",
+            "It can be easily altered or manipulated."
         ],
-        "answer": "It analyzes facial features and predicts the associated emotion"
+        "answer": "It is more secure and accurate."
+    },
+    {
+        "question": "True or False: Face recognition systems work equally well for all individuals, regardless of race or ethnicity.",
+        "options": ["True", "False"],
+        "answer": "False"
     },
     {
-        "question": "What is an example of a real-world application of emotion detection technology?",
+        "question": "What is the term used to describe the process of training a face recognition system to recognize specific individuals?",
         "options": [
-            "Virtual reality gaming",
-            "Weather forecasting",
-            "Online shopping",
-            "Recipe suggestions"
+            "Calibration",
+            "Enrollment",
+            "Authorization",
+            "Validation"
         ],
-        "answer": "Virtual reality gaming"
+        "answer": "Enrollment"
     },
     {
-        "question": "What is the importance of ethical considerations in emotion detection applications?",
+        "question": "Which of the following factors can affect the accuracy of face recognition systems?",
         "options": [
-            "Ensuring privacy and consent when collecting data",
-            "Optimizing the application's performance",
-            "Reducing the complexity of the model",
-            "Enhancing the visual appearance of the application"
+            "Lighting conditions",
+            "Changes in facial appearance (e.g., aging, makeup)",
+            "Occlusions (e.g., wearing glasses, masks)",
+            "All of the above"
         ],
-        "answer": "Ensuring privacy and consent when collecting data"
+        "answer": "All of the above"
     },
     {
-        "question": "What can students do to further explore and improve their emotion detection application?",
+        "question": "How does face recognition technology work?",
         "options": [
-            "Experiment with different image preprocessing techniques",
-            "Rewrite the entire code from scratch",
-            "Avoid using real-time video feeds for testing",
-            "Skip the testing phase and move directly to deployment"
+            "By analyzing the unique patterns in a person's eyes",
+            "By comparing the shape and structure of a person's face with stored templates",
+            "By measuring the temperature of a person's face"
         ],
-        "answer": "Experiment with different image preprocessing techniques"
+        "answer": "By comparing the shape and structure of a person's face with stored templates"
     }
 ]

pages/4_Trying It Out.py

@@ -30,7 +30,7 @@ def step4_page():
     )
     # Select input type
     st.info("Select your input type to analyze!")
-    input_type = st.radio("Select the Input Type", ["Image upload", "Camera", "Live Video"])
+    input_type = st.radio("Select the Input Type", ["Image upload", "Camera"])
     # Put slide to adjust tolerance
     tolerance = st.slider("Tolerance", 0.0, 1.0, 0.5, 0.01)
     st.info(