X2HDR
双目模式设置 HDR 参数。
# Copyright (c) RVBUST, Inc - All rights reserved.
import PyRVC as RVC
import numpy as np
import cv2
import os
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)
# 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
x = RVC.X2.Create(devices[0])
# 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.X2.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.X2.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 capture parameters.
cap_opt = RVC.X2_CaptureOptions()
# Set HDR exposure times [0, 2, 3]. 0 presents not use hdr. 2 and 3 presents hdr times.
# Capture with white light, range [11, 100]ms, others [3, 100]ms.
cap_opt.hdr_exposure_times = 3
# Set the first capture exposure time
cap_opt.SetHDRExposureTimeContent(0, 11)
# Set the second capture exposure time
cap_opt.SetHDRExposureTimeContent(1, 20)
# Set the third capture exposure time
cap_opt.SetHDRExposureTimeContent(2, 100)
# Capture a point map and a image with default setting.
ret2 = x.Capture(cap_opt)
# Create saving address of image and point map.
save_address = "Data"
TryCreateDir(save_address)
if ret2 == True:
print("RVC X Camera capture successed!")
# Get image data.
left_img = x.GetImage(RVC.CameraID_Left)
right_img = x.GetImage(RVC.CameraID_Right)
width = left_img.GetSize().cols
height = left_img.GetSize().rows
# Get image size and color information.
print("width=%d, height=%d" % (width, height))
if left_img.GetType() == RVC.ImageTypeEnum.Mono8:
print("This is mono camera")
else:
print("This is color camera")
# convert image to array and save it.
left_img = np.array(left_img, copy=False)
cv2.imwrite("Data/left.png", left_img)
right_img = np.array(right_img, copy=False)
cv2.imwrite("Data/right.png", right_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.X2.Destroy(x)
RVC.SystemShutdown()
return 1
# Close RVC X Camera.
x.Close()
# Destroy RVC X Camera.
RVC.X2.Destroy(x)
# Shut Down RVC X System.
RVC.SystemShutdown()
return 0
if __name__ == "__main__":
App()