Exemple #1
0
import cv2
import numpy as np
from runBeeBo import beebo, logger

logger.info('-vision.py: running...')


# Set video capture to default camera
cap = cv2.VideoCapture(0)


# Begin vision loop
while True:

    ret, frame = cap.read()

    if ret:

        cv2.imshow('frame',frame)





        key = cv2.waitKey(25) & 0xFF
        if key == ord('q'):
            break
    else:
        break

import time

from runBeeBo import beebo, logger

from keras.layers.core import Dense, Activation, Flatten
from keras.models import Sequential
from keras.layers.convolutional import Convolution2D, MaxPooling2D

logger.info('-learnNewFace.py: running...')

while True:

    
    time.sleep(2)

    # Check if beebo is alive
    if not beebo.brainConn.execute("SELECT * FROM status;").fetchall()[0][0]:
        logger.info('-learnNewFace.py: acknowlege beebo shutdown, exiting...')
        break