本文整理汇总了Python中sensor.Sensor.connect方法的典型用法代码示例。如果您正苦于以下问题：Python Sensor.connect方法的具体用法？Python Sensor.connect怎么用？Python Sensor.connect使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类sensor.Sensor的用法示例。
在下文中一共展示了Sensor.connect方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: main
# 需要导入模块: from sensor import Sensor [as 别名]
# 或者: from sensor.Sensor import connect [as 别名]
def main():
global sensor
sensor = Sensor()
try:
sensor.connect()
except:
print("Error connecting to sensor")
raise
return
#cv.namedWindow("Threshold", cv.WINDOW_AUTOSIZE);
cv.namedWindow("Contours", cv.WINDOW_AUTOSIZE);
nfunc = np.vectorize(normalize)
images = get_next_image()
baseline_frame = images[-1]
baseline = baseline_frame['image']
width = baseline_frame['cols']
height = baseline_frame['rows']
while 1:
images = get_next_image();
frame = images[-1]
pixels = np.array(frame['image'])
pixels_zeroed = np.subtract(baseline, pixels);
min = np.amin(pixels_zeroed)
max = np.amax(pixels_zeroed)
pixels_normalized = nfunc(pixels_zeroed, min, max)
large = sp.ndimage.zoom(pixels_normalized, 10, order=1)
large = large.astype(np.uint8);
large = cv.medianBlur(large,7)
#large = cv.GaussianBlur(large,(7,7),0)
#stuff, blobs = cv.threshold(large,150,255,cv.THRESH_BINARY)
stuff, blobs = cv.threshold(large,160,255,cv.THRESH_BINARY+cv.THRESH_OTSU)
contours, hierarchy = cv.findContours(blobs, cv.RETR_EXTERNAL, cv.CHAIN_APPROX_SIMPLE)
out = np.zeros((height*10,width*10,3), np.uint8)
cv.drawContours(out,contours,-1,(255,255,0),3)
regions_found = len(contours)
contours = np.vstack(contours).squeeze()
rect = cv.minAreaRect(contours)
box = cv.cv.BoxPoints(rect)
box = np.int0(box)
cv.drawContours(out,[box],0,(0,255,255),2)
#cv.imshow("Threshold", blobs);
cv.imshow("Contours", out)
cv.waitKey(1)
x = rect[0][0]
y = rect[0][1]
angle = rect[2];
if(regions_found < 10):
send(x, y, angle)
time.sleep(0.4)
sensor.close()
print "Done. Everything cleaned up."