Face detection

1. Experimental purpose

Face detection for driving the car

2. Experimental path source code

Enter the car system, end the car program, enter "ip (ip is the car's ip): 8888" in the browser, enter the password "yahboom" Then log in Enter the path Rider-pi_class/5.AI Visual Recognition Course/11. Face detection and run 12_Face_detection.ipynb.

Or enter the command in the terminal to directly start the python script

cd /home/pi/Rider-pi_class/5.AI Visual Recognition Course/11. Face detection
python3 FaceDetection_USB.py

3. Experimental phenomenon

After running the source code, you can see that the car will detect the face and select it

4. Main source code analysis

​x
if __name__ == '__main__':
    capture = cv.VideoCapture(0)
    # capture.set(0, cv.VideoWriter.fourcc('M', 'J', 'P', 'G'))
    capture.set(cv.CAP_PROP_FRAME_WIDTH, 320)
    capture.set(cv.CAP_PROP_FRAME_HEIGHT, 240)
    print("capture get FPS : ", capture.get(cv.CAP_PROP_FPS))
    pTime, cTime = 0, 0
    face_detector = FaceDetector(0.75)
    display(image_widget) 
    try:
        while capture.isOpened():
            ret, frame = capture.read()
            # frame = cv.flip(frame, 1)
            frame,_ = face_detector.findFaces(frame)
            if cv.waitKey(1) & 0xFF == ord('q'): break
            cTime = time.time()
            fps = 1 / (cTime - pTime)
            pTime = cTime
            text = "FPS : " + str(int(fps))
            cv.putText(frame, f"FPS: {fps:.1f}", (10, 30), cv.FONT_HERSHEY_SIMPLEX, 0.9, (0, 255, 0), 2)
            image_widget.value = bgr8_to_jpeg(frame)
​
            #Display the image on the LCD screen
            b, g, r = cv.split(frame)
            image = cv.merge((r, g, b))
            imgok = Image.fromarray(image)
            mydisplay.ShowImage(imgok)
            
    except KeyboardInterrupt:
        capture.release()

The car calls the detected face model, selects the recognized face results, and displays the recognition rate.