def __init__(self):
pvc.init_pvcam()
name = pvc.get_cam_name(0)
VCamera.__init__(self, name)
Camera.__init__(self)
self.open()
self.exp_time = 1
def main():
# Initialize PVCAM and find the first available camera.
pvc.init_pvcam()
cam = [cam for cam in Camera.detect_camera()][0]
cam.open()
cam.speed_table_index = 0
cam.exp_mode = 'Software Trigger Edge'
# Start a thread for executing the trigger
t1 = TriggerThreadRun(cam)
t1.start()
# Collect frames in live mode
cam.start_live()
framesReceived = collectFrames(cam)
cam.finish()
print('Received live frames: ' + str(framesReceived) + '\n')
# Collect frames in sequence mode
cam.start_seq(num_frames=NUM_FRAMES)
framesReceived = collectFrames(cam)
cam.finish()
print('Received seq frames: ' + str(framesReceived) + '\n')
t1.stop()
cam.close()
pvc.uninit_pvcam()
print('Done')
def main():
# Initialize PVCAM and find the first available camera.
pvc.init_pvcam()
cam = [cam for cam in Camera.detect_camera()][0]
cam.open()
cam.start_seq(exp_time=EXPOSE_TIME_ms, num_frames=NUM_FRAMES)
# Wait for 3 frames to be captured. Frames take a slightly longer than expose time, so wait a little extra time
time.sleep(3 * EXPOSE_TIME_ms * 1e-3 + 0.1)
cnt = 0
while cnt < NUM_FRAMES:
frame, fps, frame_count = cam.poll_frame(oldestFrame=False)
printFrameDetails(frame, fps, frame_count, 'newest')
frame, fps, frame_count = cam.poll_frame()
printFrameDetails(frame, fps, frame_count, 'oldest')
cnt += 1
cam.finish()
cam.close()
pvc.uninit_pvcam()
print('\nTotal frames: {}'.format(cnt))
def main():
pvc.init_pvcam()
cam = next(Camera.detect_camera())
cam.open()
cam.meta_data_enabled = True
cam.roi = (0, 1000, 0, 1000)
num_frames = 1
cnt = 0
cam.start_seq(exp_time=20, num_frames=num_frames)
while cnt < num_frames:
frame, fps, frame_count = cam.poll_frame()
low = np.amin(frame['pixel_data'])
high = np.amax(frame['pixel_data'])
average = np.average(frame['pixel_data'])
print(
'Min:{}\tMax:{}\tAverage:{:.0f}\tFrame Rate: {:.1f}\tFrame Count: {:.0f}\n'
.format(low, high, average, fps, frame_count))
cnt += 1
time.sleep(0.05)
cam.finish()
cam.close()
pvc.uninit_pvcam()
print('Total frames: {}\n'.format(cnt))
def __init__(self, cam_num=0, readout_port=0):
"""Constructor method.
readout_port is camera mode:
- readout_port = 0 ("Sensitivity") 12 bits, max fps = 88
- readout_port = 1 ("Speed") 8 bits, max fps = 500
- readout_port = 2 ("Dynamic Range") 16 bits, max fps = 83
"""
global pvc_initialized
if not pvc_initialized:
print("pvc.init_pvcam")
pvc.init_pvcam()
pvc_initialized = True
for num, cam in enumerate(PVCamera.detect_camera()):
if num == cam_num:
break
else:
raise (f"Unable to find camera num {cam_num:}.")
self.cam = cam
self.cam.open()
self.cam.readout_port = readout_port
self.cam.meta_data_enabled = True
print(self.cam.name)
def init_camera(self):
print("initializing camera")
pvc.init_pvcam()
self.cam = [cam for cam in Camera.detect_camera()][0]
self.cam.open()
self.cam.gain = self.cam_gain
self.cam.binning = self.cam_binning
self.cam.exp_mode = "Timed"
self.cam.exp_out_mode = 0
def main():
pvc.init_pvcam()
cam = next(Camera.detect_camera())
cam.open()
frame = cam.get_frame(exp_time=20).reshape(cam.sensor_size[::-1])
plt.imshow(frame, cmap="gray")
plt.show()
cam.close()
pvc.uninit_pvcam()
def main():
# Initialize PVCAM and find the first available camera.
pvc.init_pvcam()
cam = [cam for cam in Camera.detect_camera()][0]
cam.open()
cam.speed_table_index = 0
for i in range(5):
frame = cam.get_frame(exp_time=20)
print("First five pixels of frame: {}, {}, {}, {}, {}".format(
*frame[:5]))
cam.close()
pvc.uninit_pvcam()
def main():
pvc.init_pvcam()
cam = next(Camera.detect_camera())
cam.open()
NUM_FRAMES = 10
cnt = 0
cam.start_seq(exp_time=20, num_frames=NUM_FRAMES)
while cnt < NUM_FRAMES:
frame, fps, frame_count = cam.poll_frame()
low = np.amin(frame['pixel_data'])
high = np.amax(frame['pixel_data'])
average = np.average(frame['pixel_data'])
print(
'Min:{}\tMax:{}\tAverage:{:.0f}\tFrame Rate: {:.1f}\tFrame Count: {:.0f}\n'
.format(low, high, average, fps, frame_count))
cnt += 1
time.sleep(0.05)
cam.finish()
# Test basic sequence methods
frames = cam.get_sequence(NUM_FRAMES)
for frame in frames:
low = np.amin(frame)
high = np.amax(frame)
average = np.average(frame)
print('Min:{}\tMax:{}\tAverage:{:.0f}\tFrame Count: {:.0f}\n'.format(
low, high, average, cnt))
cnt += 1
time_list = [i * 10 for i in range(1, NUM_FRAMES + 1)]
frames = cam.get_vtm_sequence(time_list, constants.EXP_RES_ONE_MILLISEC,
NUM_FRAMES)
for frame in frames:
low = np.amin(frame)
high = np.amax(frame)
average = np.average(frame)
print('Min:{}\tMax:{}\tAverage:{:.0f}\tFrame Count: {:.0f}\n'.format(
low, high, average, cnt))
cnt += 1
cam.close()
pvc.uninit_pvcam()
print('Total frames: {}\n'.format(cnt))
def on_activate(self):
""" Initialisation performed during activation of the module.
"""
self.const = const
pvc.init_pvcam()
# Generator function to detect a connected camera
self.cam = next(Camera.detect_camera())
self.cam.open()
self.cam.exp_mode = "Ext Trig Internal"
self.cam.exp_res = 0
self.exp_time = self.cam.exp_time = 1
nx_px, ny_px = self._get_detector()
self._width, self._height = nx_px, ny_px
self._live = False
def main():
pvc.init_pvcam()
cam = next(Camera.detect_camera())
cam.open()
cam.meta_data_enabled = True
cam.set_roi(0, 0, 250, 250)
cam.set_roi(300, 100, 400, 900)
cam.set_roi(750, 300, 200, 200)
NUM_FRAMES = 1
cnt = 0
cam.start_seq(exp_time=20, num_frames=NUM_FRAMES)
while cnt < NUM_FRAMES:
frame, fps, frame_count = cam.poll_frame()
num_rois = len(frame['pixel_data'])
for roi_index in range(num_rois):
low = np.amin(frame['pixel_data'][roi_index])
high = np.amax(frame['pixel_data'][roi_index])
average = np.average(frame['pixel_data'][roi_index])
s1 = frame['meta_data']['roi_headers'][roi_index]['roi']['s1']
s2 = frame['meta_data']['roi_headers'][roi_index]['roi']['s2']
p1 = frame['meta_data']['roi_headers'][roi_index]['roi']['p1']
p2 = frame['meta_data']['roi_headers'][roi_index]['roi']['p2']
print('ROI:{:2} ({:4}, {:4}) ({:4}, {:4})\tMin:{}\tMax:{}\tAverage:{:.0f}\tFrame Rate: {:.1f}\tFrame Count: {:.0f}'.format(roi_index, s1, p1, s2, p2, low, high, average, fps, frame_count))
alpha = 2.0 # Contrast control (1.0-3.0)
beta = 10 # Brightness control (0-100)
img = cv2.convertScaleAbs(frame['pixel_data'][roi_index], alpha=alpha, beta=beta)
window_name = 'Region: {}'.format(roi_index)
cv2.imshow(window_name, img)
cv2.moveWindow(window_name, s1, p1)
cnt += 1
cv2.waitKey(0)
cam.finish()
cam.close()
pvc.uninit_pvcam()
print('Total frames: {}\n'.format(cnt))
def main():
# Initialize PVCAM and find the first available camera.
pvc.init_pvcam()
cam = [cam for cam in Camera.detect_camera()][0]
cam.open()
cam.gain = 1
cam.exp_mode = "Timed"
cam.binning = 2 #Binning to set camera to collect at
#cam.update_mode()
cam.exp_out_mode = 0
#cam.speed_table_index = 0
#With the CoolLED pE-300 Ultra in sequence mode, this will cycle through the 3 lamps.
t0 = time.time()
frame1 = cam.get_frame(exp_time=50) #Exposure channel 1
frame2 = cam.get_frame(exp_time=10) #Exposure channel 2
frame3 = cam.get_frame(exp_time=300) #Exposure channel 3
im_stk = np.zeros((3, frame1.shape[0], frame2.shape[1]))
im_stk[0, :, :] = frame1
im_stk[1, :, :] = frame2
im_stk[2, :, :] = frame3
out_file_path = "../../../Desktop/2020_11_13_training_imgs/"
from os import listdir
from os.path import isfile, join
onlyfiles = [
f for f in listdir(out_file_path) if isfile(join(out_file_path, f))
]
leng = onlyfiles.__len__()
lenstr = str(leng + 1).zfill(5)
tifffile.imsave(out_file_path + 'pos' + lenstr + '.tif',
im_stk.astype(np.uint16),
imagej=True)
t1 = time.time()
print(np.round(t1 - t0, 3), "s to acquire")
cam.close()
pvc.uninit_pvcam()
f, axes = plt.subplots(3, 2)
axes[0, 0].imshow(frame1, cmap=plt.get_cmap('Blue1'))
axes[0, 1].hist(frame1.flatten(), bins=np.arange(0, 65535, 1000))
axes[1, 0].imshow(frame2, cmap=plt.get_cmap('Green1'))
axes[1, 1].hist(frame2.flatten(), bins=np.arange(0, 65535, 1000))
axes[2, 0].imshow(frame3, cmap=plt.get_cmap('Red1'))
axes[2, 1].hist(frame3.flatten(), bins=np.arange(0, 65535, 1000))
plt.show()
def InitializeInstruments():
"""
Initializes the camera and rotators to the desired names.
TODO: Figure out how to set the camera to 'quantview' mode.
Parameters
----------
Returns
-------
cam : object
Named pyvcam camera object.
A : object
Named Instrumental instrument object.
B : object
Named Instrumental instrument object.
C : object
Named Instrumental instrument object.
"""
pvc.init_pvcam() # Initialize PVCAM
try:
cam = next(Camera.detect_camera()) # Use generator to find first camera
cam.open() # Open the camera.
if cam.is_open:
print("Camera open")
except:
raise Exception("Error: camera not found")
Rotational = "K10CR1"
if Rotational == "K10CR1":
l = ["55001000", "55114554","55114654"]
L = [K10CR1(i) for i in l] # There is no serial number
for i in L:
print(f'Homing stage {i}')
i.home()
elif Rotational == "thorlabs_apt":
l = apt.list_available_devices()
L = [apt.Motor(i[1]) for i in l]
for i in L:
i.set_move_home_parameters(2, 1, 10, 0)
i.set_velocity_parameters(0, 10, 10)
i.move_home()
elif Rotational == "thorpy":
pass
return cam, *L
def start_cam():
''' Initilizes the PVCAM
returns: cam instance
'''
try:
pvc.init_pvcam()
cam = next(Camera.detect_camera())
cam.open()
cam.clear_mode = 'Never'
cam.exp_mode = "Ext Trig Trig First"
cam.readout_port = 0
cam.speed_table_index = 0
cam.gain = 1
except:
raise RuntimeError('Could not start Camera')
return cam
def InitializeInstruments():
"""
Initializes the camera and rotators to the desired names.
TODO: Figure out how to set the camera to 'quantview' mode.
Parameters
----------
none
Returns
-------
cam : object
Named pyvcam camera object.
A : object
Named Instrumental instrument object.
B : object
Named Instrumental instrument object.
C : object
Named Instrumental instrument object.
"""
pvc.init_pvcam() # Initialize PVCAM
cam = next(Camera.detect_camera()) # Use generator to find first camera
cam.open() # Open the camera.
if cam.is_open == True:
print("Camera open")
else:
print("Error: camera not found")
try:
A = instrument('A') # try/except is used here to handle
except: # a bug in instrumental that requires
A = instrument('A') # this line to be run twice
print("A.serial = " + A.serial)
try:
B = instrument('B')
except:
B = instrument('B')
print("B.serial = " + B.serial)
try:
C = instrument('C')
except:
C = instrument('C')
print("C.serial = " + C.serial)
return cam, A, B, C
def main():
pvc.init_pvcam()
cam = next(Camera.detect_camera())
cam.open()
cam.start_live(exp_time=20)
cnt = 0
tot = 0
t1 = time.time()
start = time.time()
width = 800
height = int(cam.sensor_size[1] * width / cam.sensor_size[0])
dim = (width, height)
fps = 0
while True:
frame, fps, frame_count = cam.poll_frame()
frame['pixel_data'] = cv2.resize(frame['pixel_data'],
dim,
interpolation=cv2.INTER_AREA)
cv2.imshow('Live Mode', frame['pixel_data'])
low = np.amin(frame['pixel_data'])
high = np.amax(frame['pixel_data'])
average = np.average(frame['pixel_data'])
if cnt == 10:
t1 = time.time() - t1
fps = 10 / t1
t1 = time.time()
cnt = 0
if cv2.waitKey(10) == 27:
break
print('Min:{}\tMax:{}\tAverage:{:.0f}\tFrame Rate: {:.1f}\n'.format(
low, high, average, fps))
cnt += 1
tot += 1
cam.finish()
cam.close()
pvc.uninit_pvcam()
print('Total frames: {}\nAverage fps: {}\n'.format(
tot, (tot / (time.time() - start))))
def on_activate(self):
""" Initialisation performed during activation of the module.
"""
self.const = const
pvc.init_pvcam()
# Generator function to detect a connected camera
self.cam = next(Camera.detect_camera())
self.cam.open()
self.set_fan_speed(0)
self.cam.exp_mode = "Internal Trigger"
self.cam.exp_res = 0
self.exp_time = self.cam.exp_time = 1
nx_px, ny_px = self._get_detector()
self._width, self._height = nx_px, ny_px
self._live = False
self.cam.speed_table_index = 1 #16 bit mode
self.cam.exp_out_mode = 2 #Any row expose out mode
self.cam.clear_mode = 'Pre-Sequence'
#For pulsed
self._number_of_gates = int(0)
self._bin_width = 1
self._record_length = int(1)
self.pulsed_frames = None
def __init__(self, timeout=500):
pvc.init_pvcam()
self.cam = [cam for cam in Camera.detect_camera()][0]
self.cam.open()
self.cam.speed_table_index = 0
# openshamdor
shamdor = Shamdor()
shamdor.HSSpeed = HSSpeed # includes readout rate 2: 50kHz
shamdor.Shutter = (1, 5, 30, 30)
shamdor.SetTemperature = -90
#shamdor.CoolerON()
shamdor.ImageFlip = (1, 0)
# aligner
aligner = SpectrometerAligner(spectrometer, stage)
# pyvcam
pvc.init_pvcam()
pcam = next(Camera.detect_camera())
pcam.open()
# create equipment dict
equipment_dict = {'spectrometer': spectrometer,
'laser_shutter': shutter,
'white_shutter': whiteShutter,
'andor': shamdor,
'shamrock': shamdor.shamrock,
'aligner': aligner}
wizard = TrackingWizard(CWL, equipment_dict, )
shamdor.show_gui(blocking=False)
wizard.data_file.show_gui(blocking=False, )
wizard.show()
wizard.tile_edge = tile_edge_width_to_ignore
from pyvcam import pvc
from pyvcam.camera import Camera
from pyvcam import constants as const
import time
import numpy as np
# Initialize test variables
test_exp_time = 10
test_num_frames = 10
test_ld_sw_value = 10
pvc.init_pvcam() # Initialize PVCAM
cam = next(Camera.detect_camera()) # Use generator to find first camera.
cam.open() # Open the camera.
# Check that PSM is available in the camera
if (cam.check_param(const.PARAM_SCAN_MODE)):
# Get Auto Mode values
# Set camera to HDR Gain 1
print("Setting camera to HDR Gain 1")
cam.speed_table_index = 0
cam.gain = 1
###############################################################################################################
# Set to Auto Mode
###############################################################################################################
if (cam.prog_scan_mode is not const.prog_scan_modes["Auto"]):
print("\nSetting PSM to Auto")
cam.prog_scan_mode = "Auto"
def main():
pvc.init_pvcam()
cam = next(Camera.detect_camera())
cam.open()
cam.meta_data_enabled = True
cam.set_roi(0, 0, WIDTH, HEIGHT)
cam.start_live(exp_time=100,
buffer_frame_count=BUFFER_FRAME_COUNT,
stream_to_disk_path=FRAME_DATA_PATH)
# Data is streamed to disk in a C++ call-back function invoked directly by PVCAM. To not overburden the system,
# only poll for frames in python at a slow rate, then exit when the frame count indicates all frames have been
# written to disk
while True:
frame, fps, frame_count = cam.poll_frame()
if frame_count >= NUM_FRAMES:
low = np.amin(frame['pixel_data'])
high = np.amax(frame['pixel_data'])
average = np.average(frame['pixel_data'])
print(
'Min:{}\tMax:{}\tAverage:{:.0f}\tFrame Count:{:.0f} Frame Rate: {:.1f}'
.format(low, high, average, frame_count, fps))
break
time.sleep(1)
cam.finish()
imageFormat = cam.get_param(const.PARAM_IMAGE_FORMAT)
if imageFormat == const.PL_IMAGE_FORMAT_MONO8:
BYTES_PER_PIXEL = 1
else:
BYTES_PER_PIXEL = 2
cam.close()
pvc.uninit_pvcam()
# Read out meta data from stored frames
FRAME_ALIGNMENT = 0 # Typically 0. 32 for Kinetix PCIe
FRAME_BUFFER_ALIGNMENT = 4096
META_DATA_FRAME_HEADER_SIZE = 48
META_DATA_ROI_SIZE = 32
META_DATA_SIZE = META_DATA_FRAME_HEADER_SIZE + META_DATA_ROI_SIZE
pixelsPerFrame = WIDTH * HEIGHT
bytesPerFrameUnpadded = pixelsPerFrame * BYTES_PER_PIXEL + META_DATA_SIZE
framePad = 0 if FRAME_ALIGNMENT == 0 else FRAME_ALIGNMENT - (
bytesPerFrameUnpadded % FRAME_ALIGNMENT)
bytesPerFrame = bytesPerFrameUnpadded + framePad
frameBufferAlignmentPad = FRAME_BUFFER_ALIGNMENT - (
(BUFFER_FRAME_COUNT * bytesPerFrame) % FRAME_BUFFER_ALIGNMENT)
with open(FRAME_DATA_PATH, "rb") as f:
badMetaDataCount = 0
for frame_index in range(NUM_FRAMES):
frame_number = frame_index + 1
# Read frame number from meta data header
# Every time the circular buffer wraps around, bytes are padded into the file. This is a result of needing to
# write data in chunks that are multiples of the alignment boundary.
frameBufferPad = int(
frame_index / BUFFER_FRAME_COUNT) * frameBufferAlignmentPad
FRAME_NUMBER_OFFSET = 5
filePos = frame_index * bytesPerFrame + FRAME_NUMBER_OFFSET + frameBufferPad
f.seek(filePos, 0)
frameNumberBytes = f.read(4)
frame_number_meta_data = int.from_bytes(frameNumberBytes, 'little')
if frame_number != frame_number_meta_data:
badMetaDataCount += 1
print('Expected: ' + str(frame_number) + ' Observed: ' +
str(frame_number_meta_data))
print('Verified ' + str(NUM_FRAMES) + ' frames:')
print(' Meta data errors: ' + str(badMetaDataCount))
if badMetaDataCount > 0:
print('\nMeta data error troubleshooting:')
print(' 1. Verify FRAME_ALIGNMENT for camera and interface')
print(' 2. Increase exposure time')
def open_camera(self):
from pyvcam import pvc
from pyvcam import constants as const
from pyvcam.camera import Camera
self.const = const
self.pvc = pvc
pvc.init_pvcam()
self.pvcam = [cam for cam in Camera.detect_camera()][0]
self.pvcam.open()
self.pvcam.speed_table_index = self.cfg.camera_parameters[
'speed_table_index']
self.pvcam.exp_mode = self.cfg.camera_parameters['exp_mode']
logger.info(
'Camera Vendor Name: ' +
str(self.pvcam.get_param(param_id=self.const.PARAM_VENDOR_NAME)))
logger.info(
'Camera Product Name: ' +
str(self.pvcam.get_param(param_id=self.const.PARAM_PRODUCT_NAME)))
logger.info(
'Camera Chip Name: ' +
str(self.pvcam.get_param(param_id=self.const.PARAM_CHIP_NAME)))
logger.info(
'Camera System Name: ' +
str(self.pvcam.get_param(param_id=self.const.PARAM_SYSTEM_NAME)))
# Exposure mode options: {'Internal Trigger': 1792, 'Edge Trigger': 2304, 'Trigger first': 2048}
# self.pvcam.set_param(param_id = self.const.PARAM_EXPOSURE_MODE, value = 2304)
# Exposure out mode options: {'First Row': 0, 'All Rows': 1, 'Any Row': 2, 'Rolling Shutter': 3, 'Line Output': 4}
# self.pvcam.set_param(param_id = self.const.PARAM_EXPOSE_OUT_MODE, value = 3)
''' Setting ASLM parameters '''
# Scan mode options: {'Auto': 0, 'Line Delay': 1, 'Scan Width': 2}
self.pvcam.set_param(param_id=self.const.PARAM_SCAN_MODE,
value=self.cfg.camera_parameters['scan_mode'])
# Scan direction options: {'Down': 0, 'Up': 1, 'Down/Up Alternate': 2}
self.pvcam.set_param(
param_id=self.const.PARAM_SCAN_DIRECTION,
value=self.cfg.camera_parameters['scan_direction'])
# 10.26 us x factor
# factor = 6 equals 71.82 us
self.pvcam.set_param(
param_id=self.const.PARAM_SCAN_LINE_DELAY,
value=self.cfg.camera_parameters['scan_line_delay'])
self.pvcam.set_param(param_id=self.const.PARAM_READOUT_PORT, value=1)
''' Setting Binning parameters: '''
'''
self.binning_string = self.cfg.camera_parameters['binning'] # Should return a string in the form '2x4'
self.x_binning = int(self.binning_string[0])
self.y_binning = int(self.binning_string[2])
'''
self.pvcam.binning = (self.x_binning, self.y_binning)
#self.pvcam.set_param(param_id = self.const.PARAM_BINNING_PAR, value = self.y_binning)
#self.pvcam.set_param(param_id = self.const.PARAM_BINNING_SER, value = self.x_binning)
# print('Readout port: ', self.pvcam.readout_port)
"""
def main():
pvc.init_pvcam()
cam = next(Camera.detect_camera())
cam.open()
cnt = 0
# Check status from sequence collect
cam.start_seq(exp_time=1000, num_frames=2)
acquisitionInProgress = True
while acquisitionInProgress:
frameStatus = cam.check_frame_status()
print('Seq frame status: ' + frameStatus)
if frameStatus == 'READOUT_NOT_ACTIVE' or frameStatus == 'FRAME_AVAILABLE' or frameStatus == 'READOUT_COMPLETE' or frameStatus == 'READOUT_FAILED':
acquisitionInProgress = False
if acquisitionInProgress:
time.sleep(0.05)
if frameStatus != 'READOUT_FAILED':
frame, fps, frame_count = cam.poll_frame()
low = np.amin(frame['pixel_data'])
high = np.amax(frame['pixel_data'])
average = np.average(frame['pixel_data'])
print(
'Min:{}\tMax:{}\tAverage:{:.0f}\tFrame Rate: {:.1f}\tFrame Count: {:.0f}'
.format(low, high, average, fps, frame_count))
cam.finish()
frameStatus = cam.check_frame_status()
print('Seq post-acquisition frame status: ' + frameStatus + '\n')
# Check status from live collect. Status will only report FRAME_AVAILABLE between acquisitions, so an indeterminate number of frames are needed
# before we catch the FRAME_AVAILABLE status
cam.start_live(exp_time=10)
acquisitionInProgress = True
while acquisitionInProgress:
frameStatus = cam.check_frame_status()
print('Live frame status: ' + frameStatus)
if frameStatus == 'READOUT_NOT_ACTIVE' or frameStatus == 'FRAME_AVAILABLE' or frameStatus == 'READOUT_FAILED':
acquisitionInProgress = False
if acquisitionInProgress:
time.sleep(0.05)
if frameStatus != 'READOUT_FAILED':
frame, fps, frame_count = cam.poll_frame()
low = np.amin(frame['pixel_data'])
high = np.amax(frame['pixel_data'])
average = np.average(frame['pixel_data'])
print(
'Min:{}\tMax:{}\tAverage:{:.0f}\tFrame Rate: {:.1f}\tFrame Count: {:.0f}'
.format(low, high, average, fps, frame_count))
cam.finish()
frameStatus = cam.check_frame_status()
print('Live post-acquisition frame status: ' + frameStatus)
cam.close()
pvc.uninit_pvcam()
preview_ximea(
board,
tk,
slice,
zoom,
Trigger,
exposure_ms,
rotate=rotate,
white_balance=args.whitebalance,
roi=args.ROI,
)
elif args.camera_type.upper() in ("PHOTOMETRICS", "TELEDYNE", "KINETIX"):
if args.list:
from pyvcam.camera import Camera as PVCamera
print(PVCamera.get_available_camera_names())
else:
preview_photometrics(
board,
tk,
slice,
zoom,
Trigger,
exposure_ms,
bitdepth,
rotate=rotate,
roi=args.ROI,
)
else:
print("Unknown camera type: ", args.camera_type)
else: