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import mediapipe as mp
import cv2
from handTracking import HandTracking
from touchSensing import TouchSensing
from multiprocessing import Process, Queue
#from userStudy1 import UserStudy1
#from userStudy1Client import Window, PalmPad
from palmPadClient import Window
from PyQt5 import QtGui
from PyQt5.QtWidgets import QApplication, QMainWindow
import sys
mp_drawing = mp.solutions.drawing_utils
mp_drawing_styles = mp.solutions.drawing_styles
mp_hands = mp.solutions.hands
class UserStudy1():
def __init__(self):
pass
def run(self):
imageQueue = Queue()
getImageProcess = Process(target=self.getImage, args=(imageQueue,))
handTrackingResultQueue = Queue()
handTrackingProcess = Process(target=self.handTrackingFunction, args=(imageQueue, handTrackingResultQueue))
touchSensingResultQueue = Queue()
touchSensingProcess = Process(target=self.touchSensingFunction, args=(touchSensingResultQueue,))
getImageProcess.start()
handTrackingProcess.start()
touchSensingProcess.start()
App = QApplication(sys.argv)
window = Window(handTrackingResultQueue, touchSensingResultQueue)
sys.exit(App.exec_())
getImageProcess.join()
handTrackingProcess.join()
touchSensingProcess.join()
return
def getImage(self, q):
mp_hands = mp.solutions.hands
cap = cv2.VideoCapture(0)
with mp_hands.Hands(
model_complexity=0,
min_detection_confidence=0.5,
min_tracking_confidence=0.5) as hands:
while cap.isOpened():
success, image = cap.read()
if not success:
print("Empty camera frame")
else:
image.flags.writeable = False
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
image = cv2.flip(image, 1)
q.put(image)
results = hands.process(image)
if not results.multi_hand_landmarks:
continue
image.flags.writeable = True
image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
for hand_landmarks in results.multi_hand_landmarks:
mp_drawing.draw_landmarks(
image,
hand_landmarks,
mp_hands.HAND_CONNECTIONS,
mp_drawing_styles.get_default_hand_landmarks_style(),
mp_drawing_styles.get_default_hand_connections_style())
#cv2.imshow('MediaPipe Hands', cv2.flip(image, 1))
cv2.imshow('MediaPipe Hands', image)
if cv2.waitKey(5) & 0xFF == 27:
break
cap.release()
def handTrackingFunction(self, q1, q2):
handTracking = HandTracking(q1, q2)
handTracking.run()
def touchSensingFunction(self, q):
touchSensing = TouchSensing(q, port="/dev/cu.usbserial-AL03KLV2", baudrate=115200)
touchSensing.getSensorData()
def getImage(q):
mp_hands = mp.solutions.hands
cap = cv2.VideoCapture(0)
with mp_hands.Hands(
model_complexity=0,
min_detection_confidence=0.5,
min_tracking_confidence=0.5) as hands:
while cap.isOpened():
success, image = cap.read()
if not success:
print("Empty camera frame")
else:
image.flags.writeable = False
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
image = cv2.flip(image, 1)
q.put(image)
results = hands.process(image)
if not results.multi_hand_landmarks:
continue
image.flags.writeable = True
image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
for hand_landmarks in results.multi_hand_landmarks:
mp_drawing.draw_landmarks(
image,
hand_landmarks,
mp_hands.HAND_CONNECTIONS,
mp_drawing_styles.get_default_hand_landmarks_style(),
mp_drawing_styles.get_default_hand_connections_style())
#cv2.imshow('MediaPipe Hands', cv2.flip(image, 1))
cv2.imshow('MediaPipe Hands', image)
if cv2.waitKey(5) & 0xFF == 27:
break
cap.release()
def handTrackingFunction(q1, q2):
handTracking = HandTracking(q1, q2)
handTracking.run()
def touchSensingFunction(q):
touchSensing = TouchSensing(q, port="/dev/cu.usbserial-AL03KLV2", baudrate=115200)
touchSensing.getSensorData()
if __name__ == '__main__':
# userStudy1 = UserStudy1()
# userStudy1.run()
imageQueue = Queue()
getImageProcess = Process(target=getImage, args=(imageQueue,))
handTrackingResultQueue = Queue()
handTrackingProcess = Process(target=handTrackingFunction, args=(imageQueue, handTrackingResultQueue))
touchSensingResultQueue = Queue()
touchSensingProcess = Process(target=touchSensingFunction, args=(touchSensingResultQueue,))
getImageProcess.start()
handTrackingProcess.start()
touchSensingProcess.start()
App = QApplication(sys.argv)
window = Window(handTrackingResultQueue, touchSensingResultQueue)
#window = Window()
sys.exit(App.exec_())
getImageProcess.join()
handTrackingProcess.join()
touchSensingProcess.join()