X1SetTransformation
单目模式下通过转换矩阵设置用户坐标系,将原坐标系下的点云转换至用户坐标系。
# Copyright (c) RVBUST, Inc - All rights reserved.
import PyRVC as RVC
import os
import numpy as np
import cv2
from Utils.Tools import *
def App():
# Initialize RVC X system.
RVC.SystemInit()
# Choose RVC X Camera type (USB, GigE or All)
opt = RVC.SystemListDeviceTypeEnum.All
# Scan all RVC X Camera devices.
ret, devices = RVC.SystemListDevices(opt)
print("RVC X Camera devices number:%d" % len(devices))
# Find whether any RVC X Camera is connected or not.
if len(devices) == 0:
print("Can not find any RVC X Camera!")
RVC.SystemShutdown()
return 1
print("devices size =%d" % len(devices))
# Create a RVC X Camera and choose use left side camera.
x = RVC.X1.Create(devices[0], RVC.CameraID_Left)
# Test RVC X Camera is valid or not.
if x.IsValid() == True:
print("RVC X Camera is valid!")
else:
print("RVC X Camera is not valid!")
RVC.X1.Destroy(x)
RVC.SystemShutdown()
return 1
#PrintCaptureMode(devices[0])
# Open RVC X Camera.
ret1 = x.Open()
# Test RVC X Camera is opened or not.
if ret1 and x.IsOpen() == True:
print("RVC X Camera is opened!")
else:
print("RVC X Camera is not opened!")
RVC.X1.Destroy(x)
RVC.SystemShutdown()
return 1
# Print ExposureTime Range
_, exp_range_min, exp_range_max = x.GetExposureTimeRange()
print("ExposureTime Range:[{}, {}]".format(exp_range_min, exp_range_max))
# Set custom transformation.To get your transformation,please see GetCaliBoardPose.py
# Note: coordinate select here should be the same as the capture setting when you
# get your transformation. The correctness of transformation matrix will be check
# in SetCustomTransformation()
transformation = np.array([[-0.99532179, -0.0892033, -0.03711218, 0.26125841],
[-0.08950467, 0.99596495, 0.00653654, 0.1388469],
[0.03637935, 0.00982767, -0.99928973, 0.99669197],
[0., 0., 0., 1.]])
custom_transform_opt = RVC.X1_CustomTransformOptions()
custom_transform_opt.coordinate_select = RVC.X1CustomTransformCoordinate.CoordinateSelect_CaliBoard
custom_transform_opt.SetTransform(transformation)
ret2 = x.SetCustomTransformation(custom_transform_opt)
if ret2:
print("set transformation success")
else:
print("set transformation failed!custom transformation will not be used!")
print(RVC.GetLastErrorMessage())
# Set capture parameters
cap_opt = RVC.X1_CaptureOptions()
# Transform point map's coordinate to left/right(RVC.CameraID_Left/RVC.CameraID_Right) camera or reference
# plane(RVC.CameraID_NONE)
cap_opt.transform_to_camera = True
# Set camera exposure time (3~100) ms
cap_opt.exposure_time_2d = 20
cap_opt.exposure_time_3d = 20
# Capture a point map and a image.
ret3 = x.Capture(cap_opt)
# Create saving address of image and point map.
save_address = "Data"
TryCreateDir(save_address)
if ret3 == True:
print("RVC X Camera capture successed!")
# Get image data and image size.
img = x.GetImage()
width = img.GetSize().cols
height = img.GetSize().rows
# Check the camera color information.
print("width=%d, height=%d" % (width, height))
if img.GetType() == RVC.ImageTypeEnum.Mono8:
print("This is mono camera")
else:
print("This is color camera")
# Convert image to array and save it.
img = np.array(img, copy=False)
cv2.imwrite("Data/test.png", img)
print("Save image successed!")
# Save point map (m) to file.
if x.GetPointMap().Save("Data/test.ply", RVC.PointMapUnitEnum.Meter):
print("Save point map successed!")
else:
print("Save point map failed!")
else:
print("RVC X Camera capture failed!")
print(RVC.GetLastErrorMessage())
x.Close()
RVC.X1.Destroy(x)
RVC.SystemShutdown()
return 1
# Close RVC X Camera.
x.Close()
# Destroy RVC X Camera.
RVC.X1.Destroy(x)
# Shutdown RVC X System.
RVC.SystemShutdown()
return 0
if __name__ == "__main__":
App()