def update(self, data):
#print('Updating')
newGrid = self.grid.copy()
Array = serial.readSensors(ser, sensor_num)
newGrid = serial.matrixConvert(Array, num_rows, num_cols)
self.mat.set_data(newGrid)
self.grid = newGrid
def update(self, data):
#gets stuck at this line???
Array = serial.readSensors(ser, sensor_num)
data = serial.matrixConvert(Array, num_rows, num_cols)
#return data
#print("updating")
# self.ax.clear()
#mat.set_data(data)
self.ax.matshow(data)
plt.axis('off')
def __init__(self):
super(Press_Mat, self).__init__()
for i in range (4):
Array = serial.readSensors(ser, 28)
self.figure = plt.figure()
self.figure2 = plt.figure()
self.canvas = FigureCanvas(self.figure)
self.grid = serial.matrixConvert(Array, num_rows, num_cols)
self.grid[0,0] = 1000
self.start()
def generate_data(self):
#gets stuck at this line???
Array = serial.readSensors(ser, self.sensor_num)
data = serial.matrixConvert(Array, self.num_rows, self.num_cols)
return data
from psychopy import visual, event, core
#import Image, time, pylab, cv, numpy
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
import SerialCommunication as serial
#constants
num_rows = 10
num_cols = 5
sensor_num = num_rows*num_cols
ser = serial.sensorInit()
for i in range (4):
Array = serial.readSensors(ser, 28)
from functools import partial
class CamWorker(QtCore.QThread):
def __init__(self):
super(CamWorker, self).__init__()
self.cap = cv.CaptureFromCAM(0)
capture_size = (640,480)
cv.SetCaptureProperty(self.cap, cv.CV_CAP_PROP_FRAME_WIDTH, capture_size[0])
cv.SetCaptureProperty(self.cap, cv.CV_CAP_PROP_FRAME_HEIGHT, capture_size[1])
def run(self):
while 1:
time.sleep(0.01)
frame = cv.QueryFrame(self.cap)
