EYE DETECTION IN VIDEO USING OPENCV AND PYTHON

-

Program :

# Eye detection in video
import cv2

# trained dataset for face (from github)
face_cascade = cv2.CascadeClassifier("face detection/haarcascade_frontalface_default.xml")
# trained dataset for eyes (from github)
eye_cascade = cv2.CascadeClassifier("face detection/haarcascade_eye_tree_eyeglasses.xml")

# for detecting eye in video pass the location of the video as a argument
video = cv2.VideoCapture(0)  # 0 is for accessing webcam

while True:
    success, frame = video.read()
    if success == True:
        # converting color frame to grayscale frame
        gray_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

        # getting values of x-axis, y-axis, width, height
        faces = face_cascade.detectMultiScale(gray_frame)
        """ print(faces) -> return values of x-axis, y-axis, width, height """

        # creating rectangle around the face
        for x, y, w, h in faces:
            # cv2.rectangle(frame, (x, y), ((x + w), (y + h)), (0, 0, 255), 2)

            # roi means region of interest
            roi_gray = gray_frame[y:y + h, x:x + w]
            roi_color = frame[y:y + h, x:x + w]

            # getting values of x-axis, y-axis, width, height for eyes
            eyes = eye_cascade.detectMultiScale(roi_gray)
            """ print(eyes) -> return values of x-axis, y-axis, width, height """

            # creating rectangle around the eyes
            for ex, ey, ew, eh in eyes:
                cv2.rectangle(roi_color, (ex, ey), ((ex + ew), (ey + eh)), (255, 0, 0), 2)

        # Showing the eye detected video
        cv2.imshow("Detecting...", frame)
        key = cv2.waitKey(1)
        if key == 13:
            break
    else:
        break

Comments

Post a Comment

Popular posts from this blog

MOTION DETECTION AND TRACKING USING OPENCV AND PYTHON

-
In this post, we are going to see how to detect and track movements(simply motion detection and tracking) using the OpenCV module. At first, you need to install the OpenCV-python module, to install the module just open your command prompt and type, pip install OpenCV-python Then hit enter, it will install the module automatically. After installing the module, just import the module and write the basic code to read the video. # import the opencv module import cv2 # capturing video capture = cv2.VideoCapture( "videos/input.mp4" ) After that, we have to get the two frames from the video or webcam and find the difference between the two frames, which is nothing but if there is a movement that occurs between the frames there might be a difference.  So, here we are trying to get the difference using the  cv2.absdiff() function in the OpenCV module and this method takes two parameters which are the two frames. # find difference between two frames diff = cv2.absdiff(img_1 , img_2) T...
Read more

BASIC HAND TRACKING USING PYTHON

-
Image
     Basically, the hand tracking is based on the 21 landmarks in 3D with multi-hand support, based on high-performance palm detection and hand landmark model. The 21 hand landmarks will be like,  And, The output will be like this,  Packages to install :  pip install opencv-python. pip install mediapipe. Program :  # Hand Tracking with python import cv2 import mediapipe as mp import time # Capturing video from the web cam video = cv2.VideoCapture( 0 ) # Creating objects for hands mpHands = mp.solutions.hands hands = mpHands.Hands() previousTime = 0 currentTime = 0 while True : success , img = video.read() # Converting BGR image to RGB image RGBimg = cv2.cvtColor(img , cv2.COLOR_BGR2RGB) # Getting landmark points and storing in multiHandLandmarks variable result = hands.process(RGBimg) multiHandLandmarks = result.multi_hand_landmarks # This 'if' block will run when it's having the handlandmark points if multiHandLandmarks...
Read more

PARANTHESIS CHECKER IMPLEMENTATION USING PYTHON - STACK APPLICATON👩‍💻👨‍💻

-
In this post, we are going to see one of the stack application's implementations which is a parenthesis checker and also the stack has several other applications like      🎯 R everse a string,       🎯 U ndo mechanism in editors,       🎯 R ecursion,       🎯 E xpression conversion, and so on. Here, I am using the 'queue' module to implement the stack in python. You can implement the stack without using the 'queue' module and you can check out  here x Code😃 :  I hope it will help you😊
Read more