RVC  1.15.0
a product by RVBUST.
X2 Get Auto Capture Setting
import PyRVC as RVC
import numpy as np
import cv2
import os
from Utils.Tools import *
if __name__ == "__main__":
# Initialize RVC system
# Choose RVC Camera type (USB, GigE or All)
opt = RVC.SystemListDeviceTypeEnum.All
# Scan all RVC Camera devices
ret, devices = RVC.SystemListDevices(opt)
print("RVC Camera devices number:", len(devices))
# Find whether any RVC Camera is connected or not
if len(devices) == 0:
print("Can not find any RVC Camera!")
exit(1)
if devices[0].IsFirmwareMatch() == False:
print("device firmware mismatch, Please use RVCManager to upgrade the firmware")
exit(1)
# Create and open RVC Camera
device = devices[0]
x = RVC.X2.Create(device)
x.Open()
if x.IsOpen() == False:
print("Failed to open camera! Please check whether the camera is connected and make sure it is not occupied and supports X2.")
exit(1)
ret, info = device.GetDeviceInfo()
camera_id = RVC.CameraID_Left
if info.support_extra:
camera_id = RVC.CameraID_Extra
# 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()
ret,cap_opt = x.LoadCaptureOptionParameters()
# Transform point map's coordinate camera
cap_opt.transform_to_camera = camera_id
# Set 2d and 3d exposure time. Capture with white light, range [11, 100]ms, others [3, 100]ms.
cap_opt.exposure_time_2d = 20
cap_opt.exposure_time_3d = 100
# Set 2d and 3d gain. the default value is 0. The gain value of each series cameras is different, you can call function GetGainRange() to get specific range.
cap_opt.gain_2d = 0
cap_opt.gain_3d = 0
# Set 2d and 3d gamma. the default value is 1. The gamma value of each series cameras is different, you can call function GetGammaRange() to get specific range.
cap_opt.gamma_2d = 1
cap_opt.gamma_3d = 1
# range in [0, 10]. the default value is 3. The contrast of point less than this value will be treat * as invalid point and be removed.
cap_opt.light_contrast_threshold = 3
# Set projector color. the default value is RVC.ProjectorColor_Blue.
cap_opt.projector_color = RVC.ProjectorColor_Blue
# ROI Setting
start_x = 10
start_y = 10
width = 200
height = 200
roi = RVC.ROI(start_x, start_y, width, height)
# Get auto capture setting, exposure_time_2d, exposure_time_3d, projector_brightness,
# light_contrast_threshold will be adjusted automatically
ret2, cap_opt = x.GetAutoCaptureSetting(cap_opt, roi)
if ret2:
print("get auto capture setting success!")
print("auto exposure_time_2d: {} ms".format(cap_opt.exposure_time_2d))
print("auto exposure_time_3d: {} ms".format(cap_opt.exposure_time_3d))
print("auto projector_brightness: {}".format(cap_opt.projector_brightness))
print("auto light_contrast_threshold: {}".format(cap_opt.light_contrast_threshold))
else:
print("get auto capture setting failed, custom setting will be used.")
# Capture a point map and a image.
ret3 = x.Capture(cap_opt)
# Create saving address of image and point map.
save_dir = "Data"
if not os.path.exists(save_dir):
os.makedirs(save_dir)
if ret3 == True:
# Get image data. choose left or right side. the point map is map to left image.
img = x.GetImage(camera_id)
# Save image
if img.SaveImage(save_dir + "/image.png"):
print("Save image successed!")
else:
print("Save image failed!")
# Save point map (m) to file.
if x.GetPointMap().Save("{}/test.ply".format(save_dir), RVC.PointMapUnitEnum.Meter):
print("Save point map successed!")
else:
print("Save point map failed!")
else:
print("RVC Camera capture failed!")
x.Close()
exit(0)
# Close RVC Camera
x.Close()
# Destroy RVC Camera
# Shut Down RVC System