def main():
# we need a QApplication, that runs our QT Gui Framework
app = PyuEyeQtApp()
# a basic qt window
view = PyuEyeQtView()
view.show()
view.user_callback = process_image
# camera class to simplify uEye API access
cam = Camera()
cam.init()
cam.set_colormode(ueye.IS_CM_BGR8_PACKED)
cam.set_aoi(0, 0, 640, 480)
cam.alloc()
cam.capture_video()
# a thread that waits for new images and processes all connected views
thread = FrameThread(cam, view)
thread.start()
# cleanup
app.exit_connect(thread.stop)
app.exec_()
thread.stop()
thread.join()
cam.stop_video()
cam.exit()
def main(config_path="/home/oran/Pictures/Settings/default-camera-settings.ini"
):
print(config_path)
# we need a QApplication, that runs our QT Gui Framework
app = PyuEyeQtApp()
# a basic qt window
view = PyuEyeQtView()
view.resize(1920 / 1.5, 1080 / 1.5)
view.show()
#update_config_gain(update={'red': '0','green' : '0','blue':'0'},set=True)
#update_config_exposure(update=70,set=True)
# view.user_callback = adjust_manually
view.user_callback = print_means
# view.user_callback = adjust_manually
# camera class to simplify uEye API access
cam = Camera()
cam.init()
# cam.set
cam.set_colormode(ueye.IS_CM_BGR8_PACKED)
pParam = ueye.wchar_p()
pParam.value = config_path
ueye.is_ParameterSet(1, ueye.IS_PARAMETERSET_CMD_LOAD_FILE, pParam, 0)
# cam.set(cv2.cv.CV_CAP_PROP_EXPOSURE, 10)
# cam.__getattribute__('is_CameraStatus')
# cam.__setattr__('GetCameraInfo',0)
#cam.set_aoi(0,0, 1280, 1024)
cam.set_aoi(0, 0, 4912, 3684)
cam.alloc()
cam.capture_video()
ueye._is_GetError
ueye.is_Exposure(1,
ueye.c_uint(1),
ueye.c_void_p(),
cbSizeOfParam=ueye.c_int(0))
# ueye.IS_EXPOSURE_CMD_GET_FINE_INCREMENT_RANGE_MIN = 20
# ueye.IS_EXPOSURE_CMD_GET_FINE_INCREMENT_RANGE_MAX = 21
# a thread that waits for new images and processes all connected views
thread = FrameThread(cam, view)
thread.start()
# update_config_gain()
# cleanup
app.exit_connect(thread.stop)
app.exec_()
thread.stop()
thread.join()
cam.stop_video()
cam.exit()
def main():
# we need a QApplication, that runs our QT Gui Framework
print 'a'
app = PyuEyeQtApp()
print 'b'
# a basic qt window
view = PyuEyeQtView()
print 'c'
view.show()
print 'd'
view.user_callback = process_image
print 'e'
# camera class to simplify uEye API access
cam = Camera()
print 'f'
cam.init()
cam.set_colormode(ueye.IS_CM_BGR8_PACKED)
#cam.set_colormode(ueye.IS_CM_SENSOR_RAW8)
#cam.set_aoi(0,0, 1280, 1024)
cam.set_aoi(300, 300, 400, 400)
#cam.set_aoi(500,500,900,900)
print 'g'
cam.alloc()
print 'h'
cam.capture_video()
print 'i'
# a thread that waits for new images and processes all connected views
print 'j'
thread = FrameThread(cam, view)
print 'k'
thread.start()
print 'l'
# cleanup
app.exit_connect(thread.stop)
print '1'
app.exec_()
print '2'
thread.stop()
print '3'
thread.join()
print '4'
cam.stop_video()
print '5'
cam.exit()
print '6'
def main():
# we need a QApplication, that runs our QT Gui Framework
##app = PyuEyeQtApp()
# a basic qt window
#view = PyuEyeQtView()
#view.show()
#view.user_callback = process_image
# camera class to simplify uEye API access
cam = Camera(1)
cam.init()
cam.set_colormode(ueye.IS_CM_BGR8_PACKED)
#ret = cam.set_exposure(30.0)
#ret = cam.set_LUT()
#
width, height = cam.get_size()
x = 0
y = 0
ret = cam.set_aoi(x, y, width, height)
cam.alloc(buffer_count=100)
ret = cam.capture_video(True) # start to capture;
fourcc = cv2.VideoWriter_fourcc(*'XVID')
out = cv2.VideoWriter('_output.avi', fourcc, 20.0, (width, height))
# a thread that waits for new images and processes all connected views
#thread = FrameThread(cam)
#thread.start()
running = True
img_buffer = ImageBuffer()
DATA = ImageData(cam.handle(), img_buffer)
while (ret == 0) and running:
#img_buffer = ImageBuffer()
ret = ueye.is_WaitForNextImage(cam.handle(), 1000, img_buffer.mem_ptr,
img_buffer.mem_id)
#print(img_buffer.mem_id)
if ret == ueye.IS_SUCCESS:
#DATA = ImageData(cam.handle(), img_buffer)
DATA.getdata(img_buffer)
#print(DATA.array.shape)
image = DATA.as_1d_image()
DATA.unlock()
# make a gray image
#imag = cv2.cvtColor(image, cv2.COLOR_BGR)
cv2.imshow("Simple_black", image)
out.write(image)
if cv2.waitKey(1) == 27:
break
#cv2.Mat(ImageData.array)
# cleanup
#app.exit_connect(thread.stop)
#app.exec_()
#thread.stop()
#thread.join()
cam.stop_video()
cam.exit()
cv2.destroyAllWindows()
out.release()
from pyueye import ueye from pyueye_example_camera import Camera from pyueye_example_utils import FrameThread import cv2 import numpy as np cam = Camera() cam.init() cam.set_colormode(ueye.IS_CM_BGR8_PACKED) cam.set_aoi(0, 0, 1280, 1024) cam.alloc() cam.capture_video() thread = FrameThread(cam, view) thread.start() ''' is_SetBinning is_SetSubSampling is_AOI is_Exposure is_SetFrameRate is_EdgeEnhancement is_Measure (blurriness detection) is_CaptureVideo is_ColorTemperature '''
