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'
class idscamera(object):
def __init__(self,
camhand=1,
AOIwidth=1280,
AOIheight=1024,
buffer_count=100):
self.camhandle = camhand
self.cam = Camera(self.camhandle)
self.cam.init()
self.cam.set_colormode(ueye.IS_CM_BGR8_PACKED)
# ret = self.cam.set_exposure(30.0)
#ret = cam.set_LUT()
# ret = self.cam.set_aoi(0, 0, AOIwidth, AOIheight)
self.cam.alloc(buffer_count)
ret = self.cam.capture_video(True) # start to capture;
self.img_buffer = ImageBuffer()
self.DATA = ImageData(self.camhandle, self.img_buffer)
def extract(self):
ret = ueye.is_GetActSeqBuf(self.camhandle, self.img_buffer.mem_id,
self.img_buffer.mem_ptr,
self.img_buffer.mem_ptrlast)
# ret = ueye.is_WaitForNextImage(self.camhandle,
# 100,
# self.img_buffer.mem_ptr,
# self.img_buffer.mem_id)
# print(self.img_buffer.mem_id)
if ret == ueye.IS_SUCCESS:
#DATA = ImageData(cam.handle(), img_buffer)
self.DATA.lock()
self.DATA.getdata(self.img_buffer)
image = self.DATA.as_1d_image()
#print(DATA.array.shape)
self.DATA.unlock()
return image
else:
return None
def get_size(self):
return self.cam.get_size()
def stop(self):
self.cam.stop_video()
self.cam.exit()
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 '''
from pyueye_example_camera import Camera from pyueye_example_utils import ImageData, ImageBuffer import time import numpy as np # Initialize camera cam = Camera() cam.init() nRet = ueye.is_ResetToDefault(cam.handle()) # Change the format to 1280x960 formatID = ueye.UINT(8) nRet = ueye.is_ImageFormat(cam.handle(), ueye.IMGFRMT_CMD_SET_FORMAT, formatID, ueye.sizeof(formatID)) cam.alloc() # Allocate image memory # Disable auto exposure dblEnable = ueye.DOUBLE(0) dblDummy = ueye.DOUBLE(0) ueye.is_SetAutoParameter(cam.handle(), ueye.IS_SET_ENABLE_AUTO_SENSOR_GAIN_SHUTTER, dblEnable, dblDummy) newExposure = ueye.DOUBLE(30) ret = ueye.is_Exposure(cam.handle(), ueye.IS_EXPOSURE_CMD_SET_EXPOSURE, newExposure, ueye.sizeof(newExposure)) ueye.is_Focus(cam.handle(), ueye.FOC_CMD_SET_DISABLE_AUTOFOCUS, None, 0) # Disable autofocus focus_overview = ueye.INT(205) # Focus value for overview image (taken from 570mm above table) focus_closeup = ueye.INT(144) # Focus value for closeup image (taken from 190mm above table)
def IDSCamera(cfgfile, weightfile, useGPU):
from ctypes import byref
# Python external libraries
from pyueye import ueye #importing this too early would require IDS camera drivers to be installed just to run the "StandardCamera" code
# Python modules
from pyueye_example_camera import Camera
from pyueye_example_utils import ImageData, Rect, ImageBuffer
### IDS camera initializations
cam = Camera()
cam.init()
cam.set_colormode(ueye.IS_CM_BGR8_PACKED)
cam.alloc()
cam.capture_video()
### startup of thread that pulls image frames from the IDS camera
input_q = Queue(8)
output_q = Queue(8)
thread = FrameThread(cam, 1, cfgfile, weightfile, useGPU, input_q,
output_q)
thread.start()
loop = True
m = Darknet(cfgfile)
### initialization for creation of a .avi file for sharing of proof of concept
fourcc = cv2.VideoWriter_fourcc(*'DIVX')
out = cv2.VideoWriter('output.avi', fourcc, 5.0, (480, 360))
if m.num_classes == 20:
namesfile = 'C:/Users/Catharina/Documents/GitHub/VisionSystem/data/voc.names'
elif m.num_classes == 80:
namesfile = 'C:/Users/Catharina/Documents/GitHub/VisionSystem/data/coco.names'
else:
namesfile = 'data/names'
class_names = load_class_names(namesfile)
num_workers = 2
pool = Pool(num_workers, IDS_worker,
(input_q, output_q, cfgfile, weightfile, useGPU))
while loop:
cv2.waitKey(10)
image, bboxes = output_q.get()
print('------')
draw_img, waitsignal = plot_boxes_cv2(
image, bboxes, None, class_names
) #draw boxes associated with detections onto the base images | AlarmDetection.py is called in here
cv2.imshow(
'cfgfile', draw_img
) #show the image frame that now has detections drawn onto it | draw_image will be entirely green/yellow/red after a judgement is made by AlarmDetection.py for verification or alarm
'''uncomment the following line to record video | file is named output.avi and will overwrite any existing files with same name'''
#out.write(draw_img)
if waitsignal == True:
cv2.waitKey(2000)
waitsignal = False
if cv2.waitKey(1) & 0xFF == ord('q'):
loop = False
out.release()
cv2.destroyAllWindows()
thread.stop()
thread.join()
print('join')
pool.terminate()
print('terminate')
cam.stop_video()
print('stop_video')
cam.exit()
print('cam exit')
break
print('IDS_Camera close')