Simple Simp Detector 🫠

SimpDetector.py

# DEPENDENCIES:
#  pip3 install opencv-python deepface

# TODO:
#  Add multithreading support so face detection is done in a different thread independent form video feed and display
#  Add good support for multiple face detection (that is not linear)

# ヾ(=`ω´=)ノ” ..nyaa

import cv2
from deepface import DeepFace

# Filename with which currently detected face will be saved
face_file = "face.png"
# File path that will be used to detect simp (required)
target_name = "simp.png"

# Interface using which video will be captured
cap = cv2.VideoCapture(0)

# Set resolution for video feed (lower = faster)
cap.set(cv2.CAP_PROP_FRAME_WIDTH, 640)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 480)

while True:
    ret, frame = cap.read()
    if not ret:
        break

    # Model for isolating face from the whole frame
    face_cascade = cv2.CascadeClassifier(
        cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
    
    # Convert image to BW for faster processing
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    
    # Isolate faces
    faces = face_cascade.detectMultiScale(
        gray, scaleFactor=1.3, minNeighbors=5, minSize=(30, 30), flags=cv2.CASCADE_SCALE_IMAGE)

    # iterate over faces
    for (x, y, w, h) in faces:
        face_img = frame[y:y + h, x:x + w, :]
        face_img = cv2.resize(face_img, (160, 160))
        
        # Save face to file
        cv2.imwrite(face_file, face_img)

        # use deepface to match detected face with the simp.png face
        preds = DeepFace.verify(face_file, target_name,
                                enforce_detection=False)

        # If there is a match, draw a swuare and send a SIMP ALERT!
        if preds["verified"]:
            cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
            cv2.putText(frame, "SIMP DETECTED", (x, y - 10),
                        cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 255, 0), 2)

    cv2.imshow("Simp Detector", frame)

    if cv2.waitKey(1) & 0xFF == ord('q'):
        break


cap.release()
cv2.destroyAllWindows()