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_MONO8)
print('Color Mode:', cam.get_colormode())
# print(ueye.IS_CM_BGR8_PACKED)
cam.set_aoi(0, 0, 1280, 4)
aoi = cam.get_aoi()
print('AOI:', aoi.x, aoi.y, aoi.width, aoi.height)
print('Framerate Range:', cam.get_FrameTimeRange()[0], cam.get_FrameTimeRange()[1],cam.get_FrameTimeRange()[2])
# cam.set_fps(10)
cam.set_fps(1/cam.get_FrameTimeRange()[0])
cam.set_exposure(0.1)
print('Exposure Time:', cam.get_exposure())
# print(cam.get_colordepth()[0], cam.get_colordepth()[1])
cam.alloc()
cam.capture_video()
#a thread that waits for new images and processes all connected views
thread = FrameThread(cam, view)
# thread.setDaemon(True)
thread.start()
# cleanup
app.exit_connect(thread.stop)
app.exec_()
print('Frame Rate:', cam.get_fps())
thread.stop()
thread.join()
cam.stop_video()
cam.exit()
def main():
# 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)
thread.start()
time.sleep(60)
thread.stop()
thread.join()
cam.stop_video()
cam.exit()
def main():
parent_conn, child_conn = Pipe()
cpt = 0
max_frames = int(input("How many pictures would you like?: "))
# camera class to simplify uEye API access
cam = Camera()
cam.init()
cam.set_colormode(ueye.IS_CM_BGR8_PACKED)
cam.set_aoi(0, 0, 1920, 1080)
cam.alloc()
cam.capture_video()
# a thread that waits for new images and processes all connected views
thread = FrameThread(cam, child_conn)
thread.start()
while cpt < max_frames:
img = parent_conn.recv()
cv.imshow("Image", img)
cv.waitKey(200)
cv.imwrite('train_file/image%04i.jpg' % cpt, img)
print("image captured")
#print(input_q.qsize())
time.sleep(5)
cpt += 1
#time.sleep(10)
thread.stop()
#thread.join()
cam.stop_video()
cam.exit()
print("Exiting the program")
# Number of objects detected
num_detections = detection_graph.get_tensor_by_name('num_detections:0')
# Initialize the pipeline connecting the thread and the main function
parent_conn, child_conn = Pipe()
# camera class to simplify uEye API access
cam = Camera()
cam.init()
cam.set_colormode(ueye.IS_CM_BGR8_PACKED)
cam.set_aoi(0, 0, 2048, 2048)
cam.alloc()
cam.capture_video()
cam.set_full_auto()
# a thread that waits for new images and processes all connected views
thread = FrameThread(cam, child_conn)
thread.start()
time.sleep(8)
while(True):
# Acquire frame and expand frame dimensions to have shape: [1, None, None, 3]
# i.e. a single-column array, where each item in the column has the pixel RGB value
#print("check this point-1")