def associations():
if flask_request.method == 'POST':
try:
#register the associations here.
gestureDict = {}
gestureDict['gest_1'] = flask_request.form['gest_1']
gestureDict['gest_2'] = flask_request.form['gest_2']
gestureDict['gest_3'] = flask_request.form['gest_3']
gestureDict['gest_4'] = flask_request.form['gest_4']
gestureDict['gest_5'] = flask_request.form['gest_5']
print(str(gestureDict))
print(comms.user)
db = DBHelper(True) #open in passive mode
for key in gestureDict:
db.addGesture(comms.user, key, gestureDict[key])
db.disconnect()
return render_template('active.html')
except:
return "Error processing form. "
else:
SRO = comms.getSRO()
states = ujson.loads(SRO)['lab-cam']['States']
states_str = ','.join(states)
db = DBHelper(True)
current_states = []
for x in range(1, 6):
gest = db.getGestureFunction(comms.user, 'gest_' + str(x))
current_states.append(
gest) if gest != None else current_states.append('')
current_states = ','.join(current_states)
resp = make_response(
render_template('associations.html',
default=states_str,
data=current_states))
return resp
def onMessage(self, data, isBinary):
"""
Description: Decodes the image sent from the camera
"""
#STEP 1: Load in, convert, and decompress frame for use
frame = ujson.loads(data.decode("utf8"))
frame = np.asarray(frame, np.uint8)
frame = cv2.imdecode(frame, cv2.IMREAD_COLOR)
#post users client name here.
#frame = message
if (self.factory.bridge.user is not None):
print(self.factory.bridge.user)
frame, username, gesture = self.factory.rec.processFrame(
frame, self.factory.bridge.user)
if (gesture != '0'): #gesture is '0' by default
db = DBHelper(True)
gest_func = db.getGestureFunction(username,
"gest_" + str(gesture))
acu = db.getACUByUsername(username)
tag = acu + ",," + str(gest_func)
if gest_func != None:
self.factory.bridge.sendTag(tag)
if (self.factory.rec.is_registering == False
and self.factory.rec.reg_complete == True):
self.factory.bridge.web_factory.connections["client1"].sendMessage(
"registration".encode("UTF8"))
frame = cv2.UMat(frame)
frame = cv2.imencode('.jpg', frame, [cv2.IMWRITE_JPEG_QUALITY, 20])[1]
frame = base64.b64encode(frame)
#send to web factory
self.factory.bridge.web_factory.post(self.factory.bridge.user, frame)
