Input
- Video - From Downloaded Files, or
- Webcam
Output
Run the Code:
#Created by MediaPipe
#Modified by Augmented Startups 2021
#FaceDetection at 70+ FPS in 5 Minutes
#Watch 5 Minute Tutorial at www.augmentedstartups.info/YouTube
import cv2
import mediapipe as mp
import time
mp_face_detection = mp.solutions.face_detection
mp_drawing = mp.solutions.drawing_utils
#For webcam input:
cap = cv2.VideoCapture(0)
#For Video input:
#cap = cv2.VideoCapture("1.mp4")
prevTime = 0
with mp_face_detection.FaceDetection(
min_detection_confidence=0.5) as face_detection:
while True:
success, image = cap.read()
if not success:
print("Ignoring empty camera frame.")
break
#Convert the BGR image to RGB.
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
image.flags.writeable = False
results = face_detection.process(image)
# Draw the face detection annotations on the image.
image.flags.writeable = True
image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
if results.detections:
for detection in results.detections:
mp_drawing.draw_detection(image, detection)
currTime = time.time()
fps = 1 / (currTime - prevTime)
prevTime = currTime
cv2.putText(image, f'FPS: {int(fps)}', (20, 70), cv2.FONT_HERSHEY_PLAIN, 3, (0, 196, 255), 2)
cv2.imshow('BlazeFace Face Detection', image)
if cv2.waitKey(5) & 0xFF == 27:
break
cap.release()
# Learn more AI in Computer Vision by Enrolling in our AI_CV Nano Degree:
# https://bit.ly/AugmentedAICVPRO
