Tkinter and OpenCV

[VHS]

Hi everyone !

I'm a beginner in python. I would like to know how to use a facial recognition program that I made in a graphical interface with Tkinter?

Thank you for your help

[Larz60+]

Please show your code.

[VHS]

Hi, I only have the code for recognition.

import cv2
import operator

face_cascade = cv2.CascadeClassifier("./haarcascade_frontalface_alt2.xml")  
profile_cascade = cv2.CascadeClassifier("./haarcascade_profileface.xml")

webcam = cv2.VideoCapture(0)  

width = int(webcam.get(3)) 
marge = 80

while True:
    ret, frame = webcam.read() 
    tab_face = [] 

    speed = cv2.getTickCount() 

    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

    face = face_cascade.detectMultiScale(gray, scaleFactor=1.2, minNeighbors=4)   

    for x, y, w, h in face:
        tab_face.append([x, y, x+w, y+h]) 


    face = profile_cascade.detectMultiScale(gray, scaleFactor=1.2, minNeighbors=4)
    for x, y, w, h in face:
        tab_face.append([x, y, x+w, y+h])

    gray2 = cv2.flip(gray, 1) 

    face = profile_cascade.detectMultiScale(gray2, scaleFactor=1.2, minNeighbors=4)
    for x, y, w, h in face:
        tab_face.append([width - x, y, width - (x+w), y+h])

    tab_face = sorted(tab_face, key=operator.itemgetter(0, 1)) 
    
    index = 0

    for x, y, x2, y2 in tab_face:
        if not index or (x - tab_face[index - 1][0] > marge or y - tab_face[index - 1][1] > marge):
            cv2.rectangle(frame, (x, y), (x2, y2), (0, 0, 255), 2)
        index += 1

    if cv2.waitKey(1) == ord('q'):
        break
    fps = cv2.getTickFrequency() / (cv2.getTickCount()-speed) 
    cv2.putText(frame, "FPS : {:05.2f}".format(fps), (10, 30), cv2.FONT_HERSHEY_PLAIN, 2, (255, 0, 0), 2)
    cv2.imshow('video', frame)

webcam.release()
cv2.destroyAllWindows()

[nilamo]

I don't have the time to try it right now, but the frame returned from webcam.read() is a numpy array of pixel colors, so it should be fairly easy to convert.

A quick google search shows something like this should work (PIL is part of the pillow package):

import cv2
import tkinter as tk
import PIL
import PIL.Image
import PIL.ImageTk

app = tk.Tk()

webcam = cv2.VideoCapture(0)
width = webcam.get(cv2.CAP_PROP_FRAME_WIDTH)
height = webcam.get(cv2.CAP_PROP_FRAME_HEIGHT)

canvas = tk.Canvas(app, width=width, height=height)
canvas.pack()

def update():
    ret, frame = webcam.read()

    cv2.putText(frame, "example write, before converting to image",
                (10, 30), cv2.FONT_HERSHEY_PLAIN, 2, (255, 0, 0), 2)

    image = PIL.ImageTk.PhotoImage(image=PIL.Image.fromarray(frame))
    canvas.create_image(0, 0, image=image, anchor=tk.NW)
    app.after(1000, update)


update()
app.mainloop()

webcam.release()
cv2.destroyAllWindows()

That doesn't work (at least for me), but it should be very close to a working solution.

[VHS]

Thank you very much for your answer.
I found this solution to work but I don't understand everything that is being done. I will inquire.

import tkinter as tk
import cv2
from PIL import Image, ImageTk

width, height = 800, 600
cap = cv2.VideoCapture(0)
cap.set(cv2.CAP_PROP_FRAME_WIDTH, width)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT, height)

root = tk.Tk()
root.bind("<Escape>", lambda e: root.quit())
lmain = tk.Label(root)
lmain.pack()

def show_frame():
    ref, frame = cap.read()
    frame = cv2.flip(frame, 1)
    cv2image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGBA)
    img = Image.fromarray(cv2image)
    imgtk = ImageTk.PhotoImage(image=img)
    lmain.imgtk = imgtk
    lmain.configure(image=imgtk)
    lmain.after(10, show_frame)

show_frame()
root.mainloop()