def run():
"""
通过先检测，进行更新话题列表，以类进行搜索
:return:
"""
print len(WeiboPage.detected_tpdict)
detection() # 检测新事件，进而更新话题列表
muL_ss() # 对新的话题列表进行重新分类，并开始搜索
def run():
"""
通过先检测，进行更新话题列表，以类进行搜索
:return:
"""
print len(WeiboPage.detected_tpdict)
detection() # 检测新事件，进而更新话题列表
muL_ss() # 对新的话题列表进行重新分类，并开始搜索
def run(self):
"""
调用更新方法，更新完毕后进行新话题检测
:return:
"""
print "再次更新长度为x的话题", len(WeiboPage.afore_all_uid)
if WeiboPage.afore_all_uid:
print "开始更新"
Update(self.one_user).update()
else:
print "无内容，不更新，开始检测"
detection()
def consumer(q1, q,namespace):
global finished
global token
print os.getpid(), 'consumer start'
while True:
try:
if finished: break
if q.qsize() == 0:
time.sleep(2.0)
continue
w = q.get(False)
try:
detection(w)
res = csv_filename
post_result(token,res)
except:
traceback.print_exc()
q.put(w,False)
except:
traceback.print_exc()
print os.getpid(), 'consumer done'
def detection(w):
# TODO implement coding here
detection(w)
print 'handling %d.jpg'%w
def original_per_sites_bouger(cdoc, usb):
for i in range(0, len(cdoc)):
for value in usb.values():
if cdoc[i] == value[1]:
value[3] = value[3] + 1
return usb
print('nombre de site bouger = {}'.format(len(nombre_de_site_bouger)))
from detection import *
seuil = 0.1
res = detection(aaa, cle1, seuil, delta, 2)
print("detecte = ", res)
usb = unique_sites_bouger(sites_bouger)
usb1 = original_per_sites_bouger(aa_copy, usb)
print("len usb = ", len(usb))
print(usb1)
print("----------------------")
print(sites_bouger)
print("----------------------")
ESU(forCounter)
dataName = "data" + str(forCounter)
b = np.ones((2, 1))
b[0][0] = x_position_initial
b[1][0] = y_position_initial
pastSL = np.concatenate((pastSL, b), axis=1)
objeCordinates, destinationPoints = dataMeas(dataName, pastSL)
print("obje Cordinates ADPM", objeCordinates)
# for j in range(objeCordinates.shape[0]):
# pastObjeCoordinateX = np.append(pastObjeCoordinateX,objeCordinates[j][0])
# pastObjeCoordinateY = np.append(pastObjeCoordinateY,objeCordinates[j][1])
if p == 1:
xc1, yc1, xc2, yc2, modeC, rmin = detection(forCounter,
x_position_initial,
y_position_initial,
angle * math.pi / 180)
print(xc1, yc1, xc2, yc2, modeC)
if (rmin < 120):
desired_x_position = x_position_initial + (
280 - rmin) * math.cos(angle * math.pi / 180 - math.pi)
desired_y_position = y_position_initial + (
280 - rmin) * math.sin(angle * math.pi / 180 - math.pi)
[x_position, y_position,
angle] = self_localization_part(x_position_initial,
y_position_initial, angle_initial,
desired_x_position,
desired_y_position, forCounter)
print("x_pos ", x_position, "y_pos ", y_position, "angle ", angle)
x_position_initial = x_position
y_position_initial = y_position
