Revision history [back]

Why i got stuck in faces = face_detector.detectMultiScale(gray, 1.3, 5)

I used this code for dataset recognition :

#

Modified by Nazmi Asri

Original code: http://thecodacus.com/

All right reserved to the respective owner

#

Import OpenCV2 for image processing

import cv2

Start capturing video

vid_cam = cv2.VideoCapture(0)

Detect object in video stream using Haarcascade Frontal Face

face_detector = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

For each person, one face id

face_id = 1

Initialize sample face image

count = 0

Start looping

while(True):

# Capture video frame
_, image_frame = vid_cam.read()

# Convert frame to grayscale
gray = cv2.cvtColor(image_frame, cv2.COLOR_BGR2GRAY)

# Detect frames of different sizes, list of faces rectangles
faces = face_detector.detectMultiScale(gray, 1.3, 5)

# Loops for each faces
for (x,y,w,h) in faces:

    # Crop the image frame into rectangle
    cv2.rectangle(image_frame, (x,y), (x+w,y+h), (255,0,0), 2)

    # Increment sample face image
    count += 1

    # Save the captured image into the datasets folder
    cv2.imwrite("dataset/User." + str(face_id) + '.' + str(count) + ".jpg", gray[y:y+h,x:x+w])

    # Display the video frame, with bounded rectangle on the person's face
    cv2.imshow('frame', image_frame)

# To stop taking video, press 'q' for at least 100ms
if cv2.waitKey(100) & 0xFF == ord('q'):
    break

# If image taken reach 100, stop taking video
elif count>100:
    break

Stop video

vid_cam.release()

Close all started windows

cv2.destroyAllWindows()

sometime i got stuck in : cv2.waitKey(100) & 0xFF == ord('q'): break Most of time i got stuck in: faces = face_detector.detectMultiScale(gray, 1.3, 5)

Why i got stuck in faces = face_detector.detectMultiScale(gray, 1.3, 5)

I used this code for dataset recognition :

#

#################################################### # Modified by Nazmi Asri
Asri # # Original code: http://thecodacus.com/ http://thecodacus.com/ # # All right reserved to the respective owner # owner # #################################################### # Import OpenCV2 for image processing processing import cv2 cv2 # Start capturing video video vid_cam = cv2.VideoCapture(0) cv2.VideoCapture(0) # Detect object in video stream using Haarcascade Frontal Face Face face_detector = cv2.CascadeClassifier('haarcascade_frontalface_default.xml') cv2.CascadeClassifier('haarcascade_frontalface_default.xml') # For each person, one face id id face_id = 1 1 # Initialize sample face image image count = 0 0 # Start looping while(True): looping while(True): # Capture video frame _, image_frame = vid_cam.read() # Convert frame to grayscale gray = cv2.cvtColor(image_frame, cv2.COLOR_BGR2GRAY) # Detect frames of different sizes, list of faces rectangles faces = face_detector.detectMultiScale(gray, 1.3, 5) # Loops for each faces for (x,y,w,h) in faces: # Crop the image frame into rectangle cv2.rectangle(image_frame, (x,y), (x+w,y+h), (255,0,0), 2) # Increment sample face image count += 1 # Save the captured image into the datasets folder cv2.imwrite("dataset/User." + str(face_id) + '.' + str(count) + ".jpg", gray[y:y+h,x:x+w]) # Display the video frame, with bounded rectangle on the person's face cv2.imshow('frame', image_frame) # To stop taking video, press 'q' for at least 100ms if cv2.waitKey(100) & 0xFF == ord('q'): break # If image taken reach 100, stop taking video elif count>100: break # Stop video vid_cam.release() video vid_cam.release() # Close all started windows cv2.destroyAllWindows()

windows
cv2.destroyAllWindows()

sometime i got stuck in : :

 cv2.waitKey(100) & 0xFF == ord('q'):
     break

Most of time i got stuck ~~in:~~ in:

 faces = face_detector.detectMultiScale(gray, 1.3, 5)5)

Why i got stuck in faces = face_detector.detectMultiScale(gray, 1.3, 5)

I used this code for dataset recognition :

####################################################
# Modified by Nazmi Asri                           #
# Original code: http://thecodacus.com/            #
# All right reserved to the respective owner       #
####################################################

# Import OpenCV2 for image processing
import cv2

# Start capturing video 
vid_cam = cv2.VideoCapture(0)

# Detect object in video stream using Haarcascade Frontal Face
face_detector = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

# For each person, one face id
face_id = 1

# Initialize sample face image
count = 0

# Start looping
while(True):

    # Capture video frame
    _, image_frame = vid_cam.read()

    # Convert frame to grayscale
    gray = cv2.cvtColor(image_frame, cv2.COLOR_BGR2GRAY)

    # Detect frames of different sizes, list of faces rectangles
    faces = face_detector.detectMultiScale(gray, 1.3, 5)

    # Loops for each faces
    for (x,y,w,h) in faces:

        # Crop the image frame into rectangle
        cv2.rectangle(image_frame, (x,y), (x+w,y+h), (255,0,0), 2)

        # Increment sample face image
        count += 1

        # Save the captured image into the datasets folder
        cv2.imwrite("dataset/User." + str(face_id) + '.' + str(count) + ".jpg", gray[y:y+h,x:x+w])

        # Display the video frame, with bounded rectangle on the person's face
        cv2.imshow('frame', image_frame)

    # To stop taking video, press 'q' for at least 100ms
    if cv2.waitKey(100) & 0xFF == ord('q'):
        break

    # If image taken reach 100, stop taking video
    elif count>100:
        break

# Stop video
vid_cam.release()

# Close all started windows
cv2.destroyAllWindows()

sometime i got stuck in :

 cv2.waitKey(100) & 0xFF == ord('q'):
    break

Most of time i got stuck in:

 faces = face_detector.detectMultiScale(gray, 1.3, 5)