# MULTIPROCESSING
from multiprocessing import Process
import os
def squared_number():
for i in range(1000):
i * i
if __name__ == "__main__":
processes = []
num_process = os.cpu_count()
for i in range (num_process):
process = Process(target=squared_number)
process.append(process)
for process in processes:
process.start()
for process in processes:
process.join()
# MultiProcessing share data for one value
from multiprocessing import Process, Value, Array
import os
def squared_Number():
for i in range(1000):
i * i
if __name__ == "__main__":
shared_number = Value('i',1)
print("Number at starting point is ", shared_number.value) # 1
cf = str(f.get())
for g in q.get():
percentage = g['percentage_probability']
x1 = g['box_points'][0]
y1 = g['box_points'][1]
x2 = g['box_points'][2]
y2 = g['box_points'][3]
if percentage > 70:
# print(x)
xc = (x1 + x2) / 2
yc = (y1 + y2) / 2
# print("center x: ", xc.__str__(), " - y: " + yc.__str__())
if cf in centroids.keys():
p = centroids[cf]['points']
p.append(Point(xc, yc, percentage, int(cf)))
else:
centroids[cf] = {
'points': [Point(xc, yc, percentage, int(cf))]
}
if centroids.__len__() > 3:
rf = str(int(cf) - 3)
centroids.pop(rf)
cs = centroids[cf]['points']
if centroids.__len__() > 2:
cs_pre = centroids[str(int(cf) - 1)]['points']
for p in cs_pre:
counter = 1
found = False
import sys
from multiprocessing import Process
def EchoSever(client,addr):
while 1:
data = client.recv(1024)
if data:
client.send(data)
else:
client.close()
return
s = socket.socket(socket.AF_INET,socket.SOCK_STREAM)
s.bind(('0.0.0.0',int(sys.argv[1]))
s.listen(2)
threads=[]
while 1:
client,addr = s.accept()
thread = Process(target = EchoServer, args = ((client,addr)))
thread.start()
thread.append(thread)
while running == 1:
cf = str(f.get())
for g in q.get():
percentage = g['percentage_probability']
x1 = g['box_points'][0]
y1 = g['box_points'][1]
x2 = g['box_points'][2]
y2 = g['box_points'][3]
if percentage > 70:
# print(x)
xc = (x1 + x2) / 2
yc = (y1 + y2) / 2
# print("center x: ", xc.__str__(), " - y: " + yc.__str__())
if cf in centroids.keys():
p = centroids[cf]['points']
p.append(Point(xc, yc, percentage))
else:
centroids[cf] = {'points': [Point(xc, yc, percentage)]}
if centroids.__len__() > 3:
rf = str(int(cf) - 3)
centroids.pop(rf)
cs = centroids[cf]['points']
if centroids.__len__() > 2:
cs_pre = centroids[str(int(cf) - 1)]['points']
for p in cs_pre:
found = False
for c in cs:
close = distance(p.x, p.y, c.x, c.y)
if close < 15:
