RVC  1.15.0
a product by RVBUST.
X1 Get Auto Capture Setting
# Copyright (c) RVBUST, Inc - All rights reserved.
import PyRVC as RVC
import os
import numpy as np
import cv2
import time
from numpy.lib.npyio import save
from IPython import embed
from Utils.Tools import *
def App():
# 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:%d" % len(devices))
# Find whether any RVC Camera is connected or not.
if len(devices) == 0:
print("Can not find any RVC Camera!")
return 1
print("devices size = %d" % len(devices))
if devices[0].IsFirmwareMatch() == False:
print("device firmware mismatch, Please use RVCManager to upgrade the firmware")
return 1
# Create a RVC Camera and choose use left side camera.
x = RVC.X1.Create(devices[0], RVC.CameraID_Left)
# Test RVC Camera is valid or not.
if x.IsValid() == True:
print("RVC Camera is valid!")
else:
print("RVC Camera is not valid!")
return 1
#PrintCaptureMode(devices[0])
# Open RVC Camera.
ret1 = x.Open()
# Test RVC Camera is opened or not.
if x.IsOpen() == True:
print("RVC Camera is opened!")
else:
print("Failed to open camera! Please check whether the camera is connected and make sure it is not occupied and supports X1.")
return 1
# Print ExposureTime Range
_, exp_range_min, exp_range_max = x.GetExposureTimeRange()
print("ExposureTime Range:[{}, {}]".format(exp_range_min, exp_range_max))
cap_opt = RVC.X1_CaptureOptions()
ret,cap_opt = x.LoadCaptureOptionParameters()
cap_opt.transform_to_camera = True
# Set 2d and 3d exposure time. Capture with white light, range [11, 100]ms, others [3, 100]ms.
exposure_time = 100
cap_opt.exposure_time_2d = exposure_time
cap_opt.exposure_time_3d = exposure_time
cap_opt.filter_range = 0
cap_opt.phase_filter_range = 0
cap_opt.projector_brightness = 240
cap_opt.light_contrast_threshold = 3
# 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_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_address = "Data"
TryCreateDir(save_address)
if ret3 == True:
print("RVC Camera capture successed!")
# Get image data and image size.
img = x.GetImage()
width = img.GetSize().cols
height = img.GetSize().rows
# Save image
if img.SaveImage(save_address + "/image.png"):
print("Save image successed!")
else:
print("Save image failed!")
# 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 Camera capture failed!")
x.Close()
return 1
# Close RVC Camera.
x.Close()
# Destroy RVC Camera.
# Shutdown RVC System.
return 0
if __name__ == "__main__":
App()