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