app.py

import cv2 as cv
import numpy as np
import gradio as gr
import os

from FaceMeshModule import FaceMeshGenerator
from utils import DrawingUtils

PASSWORD_FILE = "blink_password.txt"


class BlinkCounter:
    def __init__(self, ear_threshold=0.3, consec_frames=4):
        self.generator = FaceMeshGenerator()

        self.RIGHT_EYE_EAR = [33, 159, 158, 133, 153, 145]
        self.LEFT_EYE_EAR = [362, 380, 374, 263, 386, 385]

        self.ear_threshold = ear_threshold
        self.consec_frames = consec_frames
        self.blink_counter = 0
        self.frame_counter = 0

    def eye_aspect_ratio(self, eye, landmarks):
        A = np.linalg.norm(np.array(landmarks[eye[1]]) - np.array(landmarks[eye[5]]))
        B = np.linalg.norm(np.array(landmarks[eye[2]]) - np.array(landmarks[eye[4]]))
        C = np.linalg.norm(np.array(landmarks[eye[0]]) - np.array(landmarks[eye[3]]))
        return (A + B) / (2.0 * C)

    def update(self, frame):
        frame, landmarks = self.generator.create_face_mesh(frame, draw=False)

        if landmarks:
            right_ear = self.eye_aspect_ratio(self.RIGHT_EYE_EAR, landmarks)
            left_ear = self.eye_aspect_ratio(self.LEFT_EYE_EAR, landmarks)
            ear = (right_ear + left_ear) / 2

            if ear < self.ear_threshold:
                self.frame_counter += 1
            else:
                if self.frame_counter >= self.consec_frames:
                    self.blink_counter += 1
                self.frame_counter = 0

            DrawingUtils.draw_text_with_bg(
                frame,
                f"Blinks: {self.blink_counter}",
                (30, 60),
                font_scale=1,
                thickness=2
            )

        return frame, self.blink_counter


blink_system = BlinkCounter()


def process_frame(frame):
    frame = cv.cvtColor(frame, cv.COLOR_RGB2BGR)
    output, count = blink_system.update(frame)
    output = cv.cvtColor(output, cv.COLOR_BGR2RGB)
    return output, f"Blink Count: {count}"


demo = gr.Interface(
    fn=process_frame,
    inputs=gr.Image(sources=["webcam"], type="numpy"),
    outputs=[
    gr.Image(type="numpy", label="Output Frame"),
    gr.Text(label="Blink Count")
]
,
    title="Eye Blink Password Authentication (MediaPipe)",
    description="Blink-based authentication using MediaPipe & OpenCV"
)

demo.launch(share=True)