def sleep():
global voiceState
if voiceState=="WAKEUP":
voiceState="SLEEP"
MMC.setBrightness(0)
else:
voiceState="WAKEUP" #退出设置
print(voiceState)
import PC as P
import MMC as MarkovCls
import SMM as SupportMarkov
import scr.SamplePathClasses as PathCls
import scr.FigureSupport as Figs
# create a cohort
cohort = MarkovCls.Cohort(id=0, therapy=P.Therapies.ANTICOAGULATION)
# simulate the cohort
simOutputs = cohort.simulate()
# graph survival curve
PathCls.graph_sample_path(sample_path=simOutputs.get_survival_curve(),
title='Survival curve, Anticoagulation',
x_label='Simulation time step',
y_label='Number of alive patients')
# create a cohort
cohort2 = MarkovCls.Cohort(id=0, therapy=P.Therapies.NO_DRUG)
# simulate the cohort
simOutputs2 = cohort2.simulate()
# graph survival curve
PathCls.graph_sample_path(sample_path=simOutputs2.get_survival_curve(),
title='Survival curve, no drug',
x_label='Simulation time step',
y_label='Number of alive patients')
def gestureDetect():
global voiceState,clockFlag
lastRes=0
while voiceState=="CLOCK" or voiceState=="NEWS":
"""1.拍照 """
camera.start_preview()
time.sleep(1)
#mixer.music.stop()
camera.capture('./image.jpg')
camera.stop_preview()
image = get_file_content('./image.jpg')
""" 2.调用手势识别 """
raw = str(client.gesture(image))
text = demjson.decode(raw) # decode 返回的json
try:
res = text['result'][0]['classname']
except:
print('Nothing detected!' )
else:
if res==lastRes:
print('Nothing detected!' )
else:
lastRes=res
print('Detect' + hand[res])
if state=="CLOCK":
if clockFlag== "appear" and hand[res]=="Previous News or clock disappear":
#MMC.showAlert("Hide clock! Got it!",2000)
#time.sleep(2)
MMC.hideModule("clock")
clockFlag="disappear"
else if clockFlag=="disappear" and hand[res]== "Next News or clock appear":
#MMC.showAlert("Show clock! Got it!",2000)
#time.sleep(2)
MMC.showModule("clock")
clockFlag="appear"
if state == "NEWS":
if hand[res]=="Previous News or clock disappear":
#MMC.showAlert("Previous news! Got it!",2000)
#sleep(2)
MMC.previousArtical()
if hand[res]=="Next News or clock appear":
#MMC.showAlert("Next news! Got it!",2000)
#sleep(2)
MMC.nextArtical()
if hand[res]=="Read More":
#MMC.showAlert("Read the news! Got it!",1000)
MMC.readMore()
if hand[res]=="Read Less":
MMC.readLess()
def news():
global voiceState
MMC.showAlert("Read the news! Got it!",1000)
voiceState="NEWS"
print(voiceState)
def clock():
global voiceState
MMC.showAlert("Set clock! Got it!",2000)
time.sleep(2)
voiceState="CLOCK"
print(voiceState)
def wakeup():
global voiceState
voiceState="WAKEUP"
MMC.setBrightness(100)
print(voiceState)
camera.resolution = (1280, 720)
#声音设置
#logging.basicConfig()
#logger = logging.getLogger("snowboy") # 终端打印提示信息
voiceState="SLEEP"; # WAKEUP,CLOCK,HELLO,NEWS;control gesture
clockFlag="appear" # appear,disappear
interrupted = False
# confirm the num of models
if len(sys.argv) != 6:
print("Error: need to specify 5 model names")
print("Usage: python demo.py 1st.model 2nd.model ... 5th.model")
sys.exit(-1)
models = sys.argv[1:]
MMC.setBrightness(0)
# capture SIGINT signal, e.g., Ctrl+C
signal.signal(signal.SIGINT, singalHandler)
sensitivity = [0.5]*len(models)
detector = snowboydecoder.HotwordDetector(models, sensitivity=sensitivity)
callbacks = [lambda: wakeup(),
lambda: sleep(),
lambda: clock(),
lambda: hello(),
lambda: news()]
print('Listening... Press Ctrl+C to exit')
voiceThread = Thread(target=voiceDetect(), args=())
gestureThread =Thread(target=gestureDetect(), args=())
import PC as P import MMC as MarkovCls import SMM as SMarkov import scr.SamplePathClasses as PathCls import scr.FigureSupport as Figs # create a cohort cohort = MarkovCls.Cohort(id=0, therapy=P.Therapies.NO_DRUG) # simulate the cohort simOutputs = cohort.simulate() # print the outcomes of this simulated cohort SMarkov.print_outcomes(simOutputs, 'No drug:')
def gestureDetect():
global voiceState, clockFlag
print("start gestureDetect!")
lastRes = 0
while True:
#if voiceState!="CLOCK" and voiceState!="NEWS":
#continue
"""1.拍照 """
#camera.start_preview(fullscreen=False,window=(100,20,620,540))
time.sleep(1)
camera.capture('./image.jpg')
#camera.stop_preview()
image = get_file_content('./image.jpg')
""" 2.调用手势识别 """
raw = str(client.gesture(image))
text = demjson.decode(raw) # decode 返回的json
try:
res = text['result'][0]['classname']
except:
print('Nothing detected!')
lastres = "None"
else:
if res == lastRes:
print('Nothing detected!')
else:
lastRes = res
print('Detect ' + hand[res])
if voiceState == "CLOCK":
if clockFlag == "appear" and (res == "Thumb_up"
or res == "One"):
print("hide clock")
MMC.hideModule("clock")
clockFlag = "disappear"
elif clockFlag == "disappear" and res == "Thumb_down":
#MMC.showAlert("Show clock! Got it!",2000)
#time.sleep(2)
print("show clock")
MMC.showModule("clock")
clockFlag = "appear"
if voiceState == "NEWS":
if hand[res] == "Previous News or clock disappear":
#MMC.showAlert("Previous news! Got it!",2000)
#sleep(2)
MMC.previousArtical()
if hand[res] == "Next News or clock appear":
#MMC.showAlert("Next news! Got it!",2000)
#sleep(2)
MMC.nextArtical()
if hand[res] == "Read More":
#MMC.showAlert("Read the news! Got it!",1000)
MMC.readMore()
if hand[res] == "Read Less":
MMC.readLess()
def hello():
global voiceState
voiceState = "HELLO"
MMC.showAlert("Good afterNoon, my darling!", 2000)
time.sleep(2)
print(voiceState)
def wakeup():
global voiceState
if voiceState == "SLEEP":
voiceState = "WAKEUP"
MMC.setBrightness(100)
print(voiceState)