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main.py
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import threading
from cv2 import BORDER_DEFAULT
from video import *
from detector import *
import time
import queue
from utils import data_package as dp
from utils import *
from constant import *
rq = queue.Queue(5)
dq = queue.Queue(10)
cap = VideoCap(720, 1080, '')
obj = objDetector('windowmodel.tflite', 720, 1080, conf_thre=0.6)
move = movementDetector(cap.read().copy())
pose = poseDetector()
sensor = Sensor(115200, '/dev/usbtty0')
# sqlconn = SqlConn()
warn = warning_gen(iou_thre=0.5)
pose_thre = 0.5
counter = Counter()
def obj_f(rq: queue.Queue, dq: queue.Queue) -> None:
" 窗户目标检测的函数\n\n 内部有sleep()控制运行频率\n\n 该函数为多线程准备\n\n 参数\n ----------\n rq : 帧数据队列\n\n dq : 计算数据队列\n\n 信息交互\n ----------\n 从 rq 中获取帧\n 将计算数据存入 dq\n\n 当从 rq 中读到 None 时才退出\n"
while True:
data = rq.get(block=True)
if data is None:
break
pdt_l = obj.detect(data)
dq.put(dp(pdt_l, DETECT_TYPE_OBJ), block=True)
time.sleep(10)
def move_f(rq: queue.Queue, dq: queue.Queue) -> None:
" 判断运动物体的函数\n\n 该函数为多线程准备\n\n 参数\n ----------\n rq : 帧数据队列\n\n dq : 计算数据队列\n\n 信息交互\n ----------\n 从 rq 中获取帧\n 将计算数据存入 dq\n\n 当从 rq 中读到 None 时才退出\n\n 性能\n ----------\n 单独运行时FPS≈10\n"
while True:
data = rq.get(block=True)
if data is None:
break
counter.start('move')
framediff, thresh, diffbox = move.detect(data)
dq.put(dp((diffbox, thresh), DETECT_TYPE_DIFF), block=True)
print(counter.end('move'))
# time.sleep(0.1)
def pose_f(f):
" 计算姿态的函数\n\n 参数\n ----------\n f : BGR格式的帧\n\n 返回\n ----------\n tuple(攀爬姿态的几率, landmarks, connection)\n"
# while True:
#data = rq.get(block=True)
if f is None:
# break
return
landmarks, connection = pose.detect(f)
print('pose detect')
p = pose.pose_invoke(landmarks)
#dq.put(dp((landmarks, connection),DETECT_TYPE_POSE),block=True)
return p, landmarks, connection
# time.sleep(1)
def sensor_f(rq:queue.Queue, dq:queue.Queue):
while True:
if rq.empty():
break
data = sensor.read()
dq.put(dp(data, DETECT_TYPE_SENSOR),block=True)
time.sleep(30)
t_d1 = threading.Thread(target=obj_f, args=(rq, dq))
t_d2 = threading.Thread(target=move_f, args=(rq, dq))
# t_d1.start()
t_d2.start()
d = [None, None, None, None]
while True:
counter.start('main')
f = cap.read().copy()
key = cv2.waitKey(1)
thresh = None
isdgrs = False
if not f.any() or key == ord('q'):
# 没读到帧或按下q时退出循环
# 向帧队列放入None 提示子线程退出
for i in range(2):
rq.put(None, block=True)
cap.release()
cv2.destroyAllWindows()
break
if not rq.full():
rq.put(f, block=True)
if not dq.empty():
# 一次读帧只获取一次计算数据
# 因为读帧速度远大于计算速度,因此不会导致数据队列堵塞
package = dq.get(block=True)
TYPE = package.type
# 按类型更新计算数据
if TYPE == DETECT_TYPE_OBJ:
# e[0]:box[ymin,xmin,ymax,xmax]
# e[1]:class
# e[2]:score
d[0] = package.load
load = np.array(d[0])
if np.size(load) != 0:
warn.update_window(
load[load[:, 1] == OBJ_IDX_OPENWINDOW][:, 0])
# 更新窗户或运动物体时进行判断
isdgrs = warn.close_window()
else:
warn.update_window(None)
elif TYPE == DETECT_TYPE_DIFF:
d[1] = package.load[0]
thresh = package.load[1]
if np.size(d[1]) != 0:
warn.update_move(d[1])
else:
warn.update_move(None)
# 更新窗户或运动物体时进行判断
isdgrs = warn.close_window()
elif TYPE == DETECT_TYPE_SENSOR:
print(package.load)
# sqlconn.update_sensor(package.load)
if(isdgrs):
# 运动物体靠近打开窗户时才进行姿态检测
print('danger start pose')
prob, lm, conn = pose_f(f)
d[2] = lm
d[3] = conn
print(prob)
if prob is not None and prob[0] > pose_thre:
print('danger pose')
else:
#print('no danger')
d[2] = None
d[3] = None
if(warn.is_disapr()):
print('child disapr')
if(d[0]):
cap.draw_bbox(d[0])
if(d[1]):
cap.draw_diffbox(d[1])
if(d[2]):
cap.draw_pose(d[2], d[3])
cv2.imshow('frame', cap.frame)
# if not thresh.all():
# cap.write()
#cv2.imshow('thresh', thresh)
if key == ord('r'):
# 按下r时重置运动检测的基准帧
move.reset_frame(rq.get(block=True))
print(counter.end('main'))
# t_d1.join()
t_d2.join()
print('quit')