https://github.com/trieutuanvnu/Raspberry-Face-Recognition

Use Python and Open CV to recognize multi face and show the name
https://github.com/trieutuanvnu/Raspberry-Face-Recognition

Last synced: 8 days ago
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Use Python and Open CV to recognize multi face and show the name

• Host: GitHub
• URL: https://github.com/trieutuanvnu/Raspberry-Face-Recognition
• Owner: trieutuanvnu
• Created: 2017-07-23T07:19:41.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2017-10-16T15:03:26.000Z (about 7 years ago)
• Last Synced: 2024-08-01T13:32:53.910Z (3 months ago)
• Language: Python
• Size: 134 KB
• Stars: 89
• Watchers: 9
• Forks: 67
• Open Issues: 3
• Metadata Files:
  • Readme: README.md

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README

        
# Raspberry-Face-Recognition

Use Python and Open CV to recognize multi face and show the name

#Sample to get video from PiCam

# import the necessary packages

from picamera.array import PiRGBArray

from picamera import PiCamera

import time

import cv2

 

# initialize the camera and grab a reference to the raw camera capture

camera = PiCamera()

camera.resolution = (640, 480)

camera.framerate = 32

rawCapture = PiRGBArray(camera, size=(640, 480))

 

# allow the camera to warmup

time.sleep(0.1)

 

# capture frames from the camera

for frame in camera.capture_continuous(rawCapture, format="bgr", use_video_port=True):

	# grab the raw NumPy array representing the image, then initialize the timestamp

	# and occupied/unoccupied text

	image = frame.array

 

	# show the frame

	cv2.imshow("Frame", image)

	key = cv2.waitKey(1) & 0xFF

 

	# clear the stream in preparation for the next frame

	rawCapture.truncate(0)

 

	# if the `q` key was pressed, break from the loop

	if key == ord("q"):

		break