class ObjetDeLaVie:
"""Unobjet avec les propriete Newton"""
def __init__(self, can, poids, coeff, py0, px0):
self.can = can
self.poids = poids
self.py0 = py0
self.px0 = px0
self.py = py0
self.px = px0
self.coeff = coeff
self.moov = 0
self.timer = MyTimer(0.001, self.deplace)
def shoot(self, vitesse, angle):
self.angle = angle
self.vitesse = vitesse
self.vx = cos(self.angle * 0.0174) * vitesse
self.vy = sin(self.angle * 0.0174) * vitesse
self.tps = 0
self.timer.start()
def deplace(self):
self.moov = 1
if (self.vitesse > 2):
if (self.py > 340):
self.timer.stop()
self.px0 = self.px
self.py0 = 340
self.vitesse *= self.coeff
self.shoot(self.vitesse, self.angle)
if (self.px < -20):
self.vx = -self.vx
self.px = -20
self.angle = self.angle - 2 * (self.angle - 90)
self.px0 = -20 - self.px0
elif (self.px > 1000):
self.vx = -self.vx
self.px = 1000
self.angle = self.angle - 2 * (self.angle - 90)
self.px0 = 2 * 1000 - self.px0
if (self.px >= -20 and self.px <= 1000):
self.px = self.vx * self.tps + self.px0
self.py = (
(self.poids * 9.81) /
2) * self.tps * self.tps - self.vy * self.tps + self.py0
self.can.coords(self.image, self.px, self.py)
self.tps += 0.018
else:
self.moov = 0
self.timer.stop()
class ObjetDeLaVie:
"""Unobjet avec les propriete Newton"""
def __init__(self, can, poids, coeff, py0, px0):
self.can = can;
self.poids = poids
self.py0 = py0
self.px0 = px0
self.py = py0
self.px = px0
self.coeff = coeff
self.moov = 0
self.timer = MyTimer(0.001, self.deplace)
def shoot(self, vitesse, angle):
self.angle = angle
self.vitesse = vitesse
self.vx = cos(self.angle * 0.0174) * vitesse
self.vy = sin(self.angle * 0.0174) * vitesse
self.tps = 0
self.timer.start()
def deplace(self):
self.moov = 1
if (self.vitesse > 2):
if (self.py > 340):
self.timer.stop()
self.px0 = self.px
self.py0 = 340
self.vitesse *= self.coeff
self.shoot(self.vitesse, self.angle)
if (self.px < -20):
self.vx = -self.vx
self.px = -20
self.angle = self.angle - 2*(self.angle - 90)
self.px0 = -20 - self.px0
elif (self.px > 1000):
self.vx = -self.vx
self.px = 1000
self.angle = self.angle - 2*(self.angle - 90)
self.px0 = 2*1000 - self.px0
if (self.px >= -20 and self.px <= 1000):
self.px = self.vx*self.tps + self.px0
self.py = ((self.poids*9.81)/2)*self.tps*self.tps - self.vy*self.tps + self.py0
self.can.coords(self.image, self.px, self.py)
self.tps += 0.018
else:
self.moov = 0
self.timer.stop()
def get_camera_images(self):
'''
截取摄像头图片，存入全局变量中
'''
reactTimer = MyTimer()
waitTimer = MyTimer()
reactTime = 0.5
imageSize = (640, 480)
images = []
reactTime = int(reactTime * 1000)
reactTimer.start(reactTime)
waitTime = 100
while reactTimer.isTimeOut() == False:
waitTimer.start(waitTime)
flag, image = self.cap.read()
image = cv2.resize(image, imageSize)
images.append(image)
waitTimer.waitTimeOut()
gl.GL_Images = images
gl.GL_Images_Length = images.__len__()
print("length={}".format(images.__len__()))
def run(self):
#获取全局变量数据并更新全局数据
self.info = gl.GL_VInfo
self.model = gl.GL_Model
self.isEnd = False
gl.GL_TalScore = 0
#清空全局队列
while gl.GL_CurScoreQueue.empty() == False:
gl.GL_CurScoreQueue.get()
startTimer = MyTimer()
startTimer.start(1000) #开始计时
temp = 0
for oneInfo in self.info:
timeid = oneInfo['timeid'] #演示视频播放时间ms
reactime = float(oneInfo['reactime']) #反应时间
poseSocre = oneInfo['score'] #分数
posepoints = oneInfo['posepoints'] #关节点信息
posepoints = mxnet.nd.array(posepoints) #类型转换
temp += 1
print('*************这是第{}次'.format(temp))
print("timeid={}".format(timeid))
startTimer.resetWaitTime(timeid) #设置等待时间
startTimer.waitTimeOut() #等待时间，相当于 sleep
self.now_to_getImages.emit() #发送截取视频图像的信号
#等待截取的图片存入全局变量
while bool(gl.GL_Images == []) | bool(
gl.GL_Images.__len__() < gl.GL_Images_Length):
if self.isEnd == True: #当需要线程关闭时，退出
break
time.sleep(0.02)
if self.isEnd == True: #当需要线程关闭时，退出
break
images = gl.GL_Images #获取全局变量 (截取的图片list)
#跟新全局变量数据
gl.GL_Images = []
gl.GL_Images_Length = 0
use_gpu = False
maxScore = 0
score = 0
#给每一个图片匹配示范骨架，获取最大分数
for image in images:
if self.isEnd == True:
break
playerPre, playerImage = net.detection(self.model, image,
use_gpu) #模型预测骨架
if playerPre != None:
playerDis, playerSkeleton = tools.normalization(
playerPre['pred_coords'][0]) #结果归一化
score = tools.matching(playerSkeleton,
posepoints,
use_gpu=use_gpu) #计算匹配结果
if maxScore < score:
maxScore = score
if self.isEnd == True:
break
print("mxScore={}".format(maxScore))
#当分数超过10，认定匹配成功
if maxScore > 10:
#将分数更新在全局变量中
gl.GL_CurScoreQueue.put(poseSocre)
gl.GL_TalScore += poseSocre
self.update_date.emit(poseSocre) #发送信号，传递动作得分
else:
self.update_date.emit(0) #发送信号，传递动作得分
startTimer.end()