本文整理汇总了Python中video.Video.loadCalibration方法的典型用法代码示例。如果您正苦于以下问题：Python Video.loadCalibration方法的具体用法？Python Video.loadCalibration怎么用？Python Video.loadCalibration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video.Video的用法示例。
在下文中一共展示了Video.loadCalibration方法的2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: Gui
# 需要导入模块: from video import Video [as 别名]
# 或者: from video.Video import loadCalibration [as 别名]
#.........这里部分代码省略.........
"""
Uncomment to gether affine calibration matrix numbers
on terminal
"""
print self.video.aff_matrix
if self.video.aff_flag == 2:
mouse_coord = np.array([[(x-MIN_X)], [(y-MIN_Y)],[1]])
self.world_coord = np.dot(self.video.aff_matrix, mouse_coord)
if self.define_template_flag == 0:
self.click_point1 = copy.deepcopy(self.last_click)
self.define_template_flag = 1
elif self.define_template_flag == 1:
self.click_point2 = copy.deepcopy(self.last_click)
self.template = copy.deepcopy(self.video.bwFrame[2*self.click_point1[1]:2*self.click_point2[1],2*self.click_point1[0]:2*self.click_point2[0]])
print self.click_point1
print self.click_point2
self.define_template_flag = -1
cv2.imwrite('./template.png', self.template)
def affine_cal(self):
"""
Function called when affine calibration button is called.
Note it only chnage the flag to record the next mouse clicks
and updates the status text label
"""
self.video.aff_flag = 1
self.ui.rdoutStatus.setText("Affine Calibration: Click point %d"
%(self.video.mouse_click_id + 1))
def load_camera_cal(self):
print "Load Camera Cal"
self.video.loadCalibration()
def tr_initialize(self):
self.wayPointsPos = []
self.wayPointsSpeed = []
self.wayPointsTime = []
print "Teach and Repeat"
def tr_add_waypoint(self):
#waypoints1 = copy.deepcopy(self.rex.joint_angles_fb)
#waypoints2 = copy.deepcopy(self.rex.joint_angles_fb)
#self.wayPointsPos.append(waypoints1)
#self.wayPointsTime.append([self.currtime, self.currtime, self.currtime, self.currtime])
#self.wayPointsSpeed.append([0.1, 0.1, 0.1, 0.1])
#self.currtime += 70000
#waypoints2[1] -= 0.7
#self.wayPointsPos.append(waypoints2)
#self.wayPointsTime.append([self.currtime, self.currtime, self.currtime, self.currtime])
#self.wayPointsSpeed.append([0.1, 0.1, 0.1, 0.1])
#self.currtime += 70000
#self.waypointsfp.writerow(waypoints1)
#self.waypointsfp.writerow(waypoints2)
#np.save("waypointsPos",self.wayPointsPos)
#np.save("waypointsSpeed", self.wayPointsSpeed)
#np.save("waypointsTime", self.wayPointsTime)
self.wayPointsPos.append(copy.deepcopy(self.rex.joint_angles_fb))
self.wayPointsSpeed.append(copy.deepcopy(self.rex.speed_fb))
self.wayPointsTime.append(copy.deepcopy(self.rex.time_fb))
np.save("waypointsPos",self.wayPointsPos)
np.save("waypointsSpeed", self.wayPointsSpeed)
np.save("waypointsTime", self.wayPointsTime)
#print self.wayPoints
print "Add Waypoint"示例2: Gui
# 需要导入模块: from video import Video [as 别名]
# 或者: from video.Video import loadCalibration [as 别名]
#.........这里部分代码省略.........
"""
Uncomment to gether affine calibration matrix numbers
on terminal
"""
#print self.video.aff_matrix
if self.get_template == 1:
self.template_point = [(x-MIN_X)*(960.0/480.0), (y-MIN_Y)*(1280.0/640.0)]
self.get_template += 1
elif self.get_template == 2:
self.get_template = 0
bottom_point = [(x-MIN_X)*(960.0/480.0), (y-MIN_Y)*(1280.0/640.0)]
dx = bottom_point[0] - self.template_point[0]
dy = bottom_point[1] - self.template_point[1]
grey_frame = cv2.cvtColor(self.video.currentFrame, cv2.COLOR_BGR2GRAY)
self.template = grey_frame[self.template_point[1]-dy:bottom_point[1], self.template_point[0]-dx:bottom_point[0]]
#self.template = cv2.cvtColor(self.template, cv2.COLOR_BGR2GRAY)
cv2.imwrite('./template.png', self.template)
print "Got Template"
def affine_cal(self):
"""
Function called when affine calibration button is called.
Note it only chnage the flag to record the next mouse clicks
and updates the status text label
"""
self.video.aff_flag = 1
self.ui.rdoutStatus.setText("Affine Calibration: Click point %d"
%(self.video.mouse_click_id + 1))
def load_camera_cal(self):
print "Load Camera Cal"
self.video.loadCalibration()
def tr_initialize(self):
print "Teach and Repeat"
self.path_start_time = micro_time()
self.rex.plan = []
self.rex.plan_status = 0
self.rex.wpt_number = 0
self.rex.max_torque = 0.0
self.ui.sldrMaxTorque.setValue(0.0)
def tr_add_waypoint(self):
print "Add Waypoint"
self.rex.plan.append([micro_time() - self.path_start_time, self.rex.joint_angles_fb[:], [0,0,0,0]])
self.rex.wpt_total += 1
def tr_smooth_path(self):
print "Smooth Path"
#Basic smoothing
new_plan = []
#for i, (t, p) in enumerate(self.rex.plan):
# np = p[:]
# nt = t + 1000000 * i + 500000
# if p[1] < 0:
# np[1] += 10*D2R
# else:
# np[1] -= 10*D2R
#
# new_plan.append([nt-500000, np])
# new_plan.append([nt, p[:]])
# new_plan.append([nt+500000, np])
self.rex.plan = [[0, [0, 0, 0, 0], [0,0,0,0]]] + self.rex.plan