def calibrate_grating(speed=3000, x_min=0 * u.mm, x_max=None, nx=10):
spec = instrument(**bristol_params)
# prepare data arrays
if not x_max:
x_max = (sm.limit_switch_2_pos -
sm.limit_switch_1_pos) * sm.travel_per_microstep
x_comm = np.linspace(
x_min.to(u.mm).magnitude,
x_max.to(u.mm).magnitude, nx) * u.mm
lm = np.empty(len(x_comm)) * u.nm
# collect data
for xind, x in enumerate(x_comm):
print('Acquiring wavelength {} of {}...'.format(xind + 1, len(x_comm)))
sm.go_and_wait(x, speed=speed)
lm[xind] = spec.get_wavelength()
print('...found to be {:7.3f} nm'.format(lm[xind].to(u.nm).magnitude))
# close spectrometer to end errors
spec.close()
# generate interpolation function
grating_tuning_model = interp1d(lm, x_comm)
# save data
timestamp_str = datetime.strftime(datetime.now(), '%Y_%m_%d_%H_%M_%S')
fname = 'IPG_SFTL_grating_calibration_' + timestamp_str + '.txt'
np.savetxt(path.normpath(path.join(grating_calibration_save_dir, fname)),
np.stack((x_comm.magnitude, lm.magnitude)))
return x_comm, lm, grating_tuning_model
def connect(self):
paramsets = list_instruments()
self.ccs = instrument(paramsets[0])
log.info('CCS200/M Spectrometer CONNECTED')
time.sleep(0.1)
self.stage = ThorlabsStageWithStepMotors()
self.stage.set_stage()
def switch_cam(event):
nonlocal cam, which_cam
cam.close()
which_cam = not which_cam
cam = instrument(names[which_cam])
cam.start_live_video(framerate=10 * u.hertz)
def open_camera(self, serial=False):
"""Connect to a uc480 camera."""
print('Attempting to connect to the camera...')
if serial:
print("Serial number: %s" % serial)
self.camera = instrument(serial=serial) # specified camera
else:
print("Available instruments:")
print(list_instruments())
self.camera = instrument('uc480') # default camera
# set the camera gui buttons
self.reset_gui_with_camera()
print('Camera connection successful.\n')
self.find_cameras()
# set camera window title
self.image_widget.setWindowTitle(self.camera.serial +
' = uc480 camera serial no.')
# set camera width and height labels
self.CameraWidthLabel.setText(str(self.camera.max_width))
self.CameraHeightLabel.setText(str(self.camera.max_height))
# determine which camera parameters can be set
try:
self.camera.gamma = int(self.GammaNumberBox.value())
self.set_gamma = True
except:
print("WARNING: Can't set gamma.\n")
self.set_gamma = False
try:
self.camera.auto_whitebalance = self.AutoWhitebalanceCheckBox.checkState(
)
self.set_whitebalance = True
except:
print("WARNING: Can't set auto_whitebalance.\n")
self.set_whitebalance = False
# initialise the attributes dictionary
self.attributes = dict()
# take first image
self.take_image()
def selected_camera(self):
self.master.wait_window(self.master)
if self.found_devices and self.success:
idx = self.options.index(self.var.get())
if str(self.paramsets[idx]) not in opened_instruments:
opened_instruments[str(self.paramsets[idx])] = instrument(
self.paramsets[idx])
return opened_instruments[str(self.paramsets[idx])]
else:
return None
def __init__(self, instr_name):
super(DriverNI_DAQ, self).__init__(instr_name)
print "(DriverVISA.__init__('{0}'))".format(instr_name)
### Note: instr_name is not really used in this driver yet
try:
self.Resource = instrumental.instrument('NIDAQ')
except:
print "!!! (DriverNI_DAQ) 'instrumental.instrument('NIDAQ')' couldn't be called."
self.physicalChannel = "Dev1/ai2"
self.taskHandle = xxx_TaskHandle(0)
def get_spectrum(plot=True, save=True):
spec = instrument(**bristol_params)
lm, psd = spec.get_spectrum()
spec.close()
lm = lm.to(u.um)
timestamp_str = datetime.strftime(datetime.now(), '%Y_%m_%d_%H_%M_%S')
fname = 'IPG_SFTL_spectrum_' + timestamp_str + '.txt'
if save:
np.savetxt(path.normpath(path.join(spectra_save_dir, fname)),
np.stack((lm.magnitude, psd)))
if plot:
fig = plt.figure(figsize=(12, 12))
ax = fig.add_subplot(111)
ax.plot(lm, psd, 'C3')
ax.grid()
ax.set_xlabel('$\lambda$ [$\mu$m]')
ax.set_ylabel('PSD [dBm/spectral bin]')
if save:
ax.set_title('data saved to file:\n' + fname)
fig.tight_layout()
plt.show()
return lm, psd
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 __enter__(self):
spec = instrument(**bristol_params)
self.inst = spec
return spec
# -*- coding: utf-8 -*-
from instrumental import instrument, Q_
from instrumental.tools import DataSession
from numpy import sqrt
# Fix for Python 2
try:
input = raw_input
except NameError:
pass
# Set up scope and measurements
scope = instrument('SCOPE_C')
scope.set_measurement_params(1, 'amplitude', channel=2)
scope.set_measurement_params(2, 'amplitude', channel=4)
scope.set_measurement_params(3, 'max', channel=3)
scope.set_measurement_params(4, 'mean', channel=3)
scope.enable_measurement_stats()
scope.set_measurement_nsamps(256)
# Create data-taking session
ds = DataSession('Session')
for i in range(3):
meas = {}
meas['poling'] = Q_(int(input('Please enter the poling region number: ')))
meas['temp'] = Q_(float(input('Please enter the crystal temp in C: ')),
'degC')
stats_ch2 = scope.read_measurement_stats(1)
from instrumental import instrument, u
daq = instrument(nidaq_devname='Dev1')
def dim_matches(q1, q2):
return q1.dimensionality == q2.dimensionality
def test_AI_read():
val = daq.ai0.read()
assert dim_matches(val, u.V)
def test_AI_read_array():
ai = daq.ai0
data = ai.read(n_samples=10, fsamp='1kHz')
assert data[ai.path].shape == (10, )
assert data['t'].shape == (10, )
assert dim_matches(data[ai.path], u.V)
assert dim_matches(data['t'], u.s)
def connect(self):
paramsets = list_instruments()
self.ccs = instrument(paramsets[0])
time.sleep(0.1)
def pytest_runtest_setup(item):
global current_instrument
inst_key = inst_key_from_item(item)
params = instruments[inst_key]
current_instrument = instrument(params)
def get_wavelength():
spec = instrument(**bristol_params)
lm = spec.get_wavelength()
spec.close()
return lm
hbox.addWidget(button)
hbox.addWidget(btn_grab)
# Assign layouts to widgets
main_area.setLayout(vbox)
button_area.setLayout(hbox)
scroll_area.setLayout(QVBoxLayout())
# Attach some child widgets directly
win.setCentralWidget(main_area)
return app, win, button, btn_grab, scroll_area
if __name__ == '__main__':
cam = instrument('pxCam') # Replace with your camera's alias
with cam:
app, win, ssbutton, btn_grab, scroll_area = create_window()
camview = gui.CameraView(cam)
scroll_area.setWidget(camview)
ssbutton.running = False
def start_stop():
if not ssbutton.running:
camview.start_video()
ssbutton.setText("Stop Video")
ssbutton.running = True
else:
camview.stop_video()
ssbutton.setText("Start Video")
def _run_cam(which_cam, verbose=False):
names = ['ThorCam', 'ChamberCam'] # False, True
## https://instrumental-lib.readthedocs.io/en/stable/uc480-cameras.html ##
cam = instrument(names[which_cam])
## Cam Live Stream ##
cam.start_live_video(framerate=10 * u.hertz)
exp_t = cam._get_exposure()
## Create Figure ##
fig = plt.figure()
ax1 = fig.add_subplot(1, 1, 1)
## Animation Frame ##
def animate(i):
if cam.wait_for_frame():
im = cam.latest_frame()
ax1.clear()
ax1.imshow(im)
## Button: Automatic Exposure Adjustment ##
def find_exposure(event):
fix_exposure(cam, set_exposure, verbose)
## Button: Intensity Feedback ##
def stabilize(event): # Wrapper for Intensity Feedback function.
im = cam.latest_frame()
print(analyze_image(which_cam, im, 12, 1, True))
# stabilize_intensity(which_cam, cam, verbose)
def snapshot(event):
im = cam.latest_frame()
guess_image(which_cam, im, 12)
def switch_cam(event):
nonlocal cam, which_cam
cam.close()
which_cam = not which_cam
cam = instrument(names[which_cam])
cam.start_live_video(framerate=10 * u.hertz)
# ## Button: Pause ##
# def playback(event):
# if playback.running:
# spcm_dwSetParam_i32(self.hCard, SPC_M2CMD, M2CMD_CARD_STOP)
# playback.running = 0
# else:
# spcm_dwSetParam_i32(self.hCard, SPC_M2CMD, M2CMD_CARD_START | M2CMD_CARD_ENABLETRIGGER)
# playback.running = 1
# playback.running = 1
## Slider: Exposure ##
def adjust_exposure(exp_t):
cam._set_exposure(exp_t * u.milliseconds)
## Button Construction ##
axspos = plt.axes([0.56, 0.0, 0.13, 0.05])
axstab = plt.axes([0.7, 0.0, 0.1, 0.05])
# axstop = plt.axes([0.81, 0.0, 0.12, 0.05])
axplot = plt.axes([0.81, 0.0, 0.09, 0.05]) ### !
axswch = plt.axes([0.91, 0.0, 0.09, 0.05])
axspar = plt.axes([0.14, 0.9, 0.73, 0.05])
correct_exposure = Button(axspos, 'AutoExpose')
stabilize_button = Button(axstab, 'Stabilize')
# pause_play = Button(axstop, 'Pause/Play')
plot_snapshot = Button(axplot, 'Plot')
switch_cameras = Button(axswch, 'Switch')
set_exposure = Slider(axspar,
'Exposure',
valmin=0.1,
valmax=MAX_EXP,
valinit=exp_t.magnitude)
correct_exposure.on_clicked(find_exposure)
stabilize_button.on_clicked(stabilize)
# pause_play.on_clicked(playback)
plot_snapshot.on_clicked(snapshot)
switch_cameras.on_clicked(switch_cam)
set_exposure.on_changed(adjust_exposure)
## Begin Animation ##
_ = animation.FuncAnimation(fig, animate, interval=100)
plt.show()
plt.close(fig)
#0) Runs on python 3.6.3 (does not work on python 3.7) #1) install through setup.py https://github.com/mabuchilab/Instrumental #2) needs pyvisa, cffi (messy installation perhaps depending on OS) # [email protected] import visa rm = visa.ResourceManager() rm.list_resources() from instrumental import instrument, list_instruments from instrumental.drivers.spectrometers.thorlabs_ccs import CCS paramsets = list_instruments() paramsets ccs = instrument(paramsets[0]) ccs ccs.get_device_info() ccs.get_integration_time() ccs.set_integration_time(integration_time='0.01 seconds', stop_scan=True) ccs.stop_scan() ccs.stop_and_clear() ccs.reset() ccs.start_single_scan()
def ConnectCamera(self):
self.cam = instrument(self.insts[0])
print(self.cam)
#!/usr/bin/env python3
%pylab inline
from PIL import Image, ImageOps
from io import BytesIO
import IPython.display
import time
from IPython.display import clear_output
from instrumental import instrument, list_instruments
paramsets = list_instruments()
for index, paramset in enumerate(paramsets):
print(index,paramset['classname'])
thorcam = instrument(paramsets[0])
thorcam.set_auto_exposure(True)
def showarray(a, fmt='jpeg'):
f = BytesIO()
ImageOps.autocontrast(Image.fromarray(a)).save(f, fmt)
IPython.display.display(IPython.display.Image(data=f.getvalue()))
try:
while(True):
# Capture frame-by-frame
t1 = time.time()
#thorcam.wait_for_frame()
frame = thorcam.grab_image()
# Convert the image from OpenCV BGR format to matplotlib RGB format
# to display the image
#frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
fig, ax = plt.subplots()
slm.enable_blazed()
fps_ = 60
pmillis = int(round(time.time() * 1000))
num_of_frames = 0
inst = list_instruments()
print(inst)
cam = instrument(inst[0])
cam.master_gain = 1
cam.gain_boost = False
#cam.start_live_video(framerate = '60 hertz', exposure_time='0.05 millisecond')
current_coeffs = [0, 0, 0, 0, 0, 0,
0] #-0.025, -0.5, 0, -.04, 0.1055, 0.1055, -0.04]
#[0.1338858, -0.04361271, 0.0405758, -0.54168096, -0.05750595,
# -0.06092065, 0.27694177, 0.06299513, -0.14471439, 0.05366629, 0.09215891,
# -0.34178976, 0.39306562, 0.20678763, 0.08826728, 0.02828799, -0.02992248,
# -0.10104176, -0.07010867, -0.02751629]
#slm.set_zernike_coeffs([0, 0, 0, -0.3, 0, 0, -0.2, 0.25, 0.25, -0.2, 0, 0, 0], [0.75])
tmp = [0, 0, 0]
tmp.extend(current_coeffs)
# sys.path.append(temp_mon_dir)
from xantrex import xhr_write # control function for Xantrex XHR 300V supply via LabJack
import ipg_sftl_lib as ipg
from experiment_utilities import print_statusline
from sample_mount_temp_control import set_temp_and_wait, get_meas_temp, get_set_temp, set_set_temp
from plotting_imports import plt
# initialize IPG SFTL
ipg.init()
# connect to scopes
#scope0 = instrument(module='scopes.tektronix', classname='MSO_DPO_4000', visa_address=scope0_address) # DPO2024 above microscope, 4ch, 200MHz, 1.25M samples 1GS/s, USB
#scope1 = instrument(module='scopes.tektronix', classname='TDS_3000', visa_address='TCPIP0::171.64.84.205::INSTR') # TDS 3032 above laser, 2ch, 300MHz, 10k samples @ 2.5GS/s, ethernet
scope2 = instrument(module='scopes.tektronix',
classname='TDS_600',
visa_address='GPIB0::19::INSTR'
) # TDS 654C, 4ch, 500MHz, 15k samples @ 5GS/s, GPIB
scope3 = instrument(
module='scopes.tektronix',
classname='TDS_3000',
visa_address='TCPIP0::171.64.86.67::INSTR'
) # TDS 3034B above microscope, borrowed from nate (what a guy, right?), 4ch, 300MHz, 10k samples @ 2.5GS/s, ethernet
# connect to NI DAQ for analog outputs on remote DAQ-server
daq = instrument(DAQ_name, server=DAQ_server)
## connect to function generators
# Tektronix AFG3102 (x2)
afg0_visa_address = 'TCPIP0::171.64.85.99::INSTR' # Tektronix AFG3102, closer to Nate's side of lab, connected via ethernet, static IP, hostname ml-tek-afg-0.stanford.edu
afg1_visa_address = 'TCPIP0::171.64.85.108::INSTR' # Tektronix AFG3102, closer to David's desk along wall, connected via ethernet, static IP, hostname ml-tek-afg-1.stanford.edu
# afg0 = instrument({'visa_address':afg0_visa_address,'module':'funcgenerators.tektronix'}) #need to specify classname (1/26/2019); potential error due usage of an older version of Instrumental.
# -*- coding: utf-8 -*-
from instrumental import instrument, Q_
from instrumental.tools import DataSession
from numpy import sqrt
# Fix for Python 2
try: input = raw_input
except NameError: pass
# Set up scope and measurements
scope = instrument('SCOPE_C')
scope.set_measurement_params(1, 'amplitude', channel=2)
scope.set_measurement_params(2, 'amplitude', channel=4)
scope.set_measurement_params(3, 'max', channel=3)
scope.set_measurement_params(4, 'mean', channel=3)
scope.enable_measurement_stats()
scope.set_measurement_nsamps(256)
# Create data-taking session
ds = DataSession('Session')
for i in range(3):
meas = {}
meas['poling'] = Q_(int(input('Please enter the poling region number: ')))
meas['temp'] = Q_(float(input('Please enter the crystal temp in C: ')), 'degC')
stats_ch2 = scope.read_measurement_stats(1)
stats_ch4 = scope.read_measurement_stats(2)
meas['reference'] = stats_ch2['mean']
# Dependancies: Instrumental-lib by Mabuchi Lab
# Documentation located at http://instrumental-lib.readthedocs.io/en/stable/index.html
# Can be installed via pip or by cloning the github package, see the above site.
# import matplotlib to be able to display the captured image.
from instrumental import instrument
from matplotlib import pyplot
from instrumental.drivers.cameras import uc480
import cv2
import time
paramsets = uc480.list_instruments()
# Assuming only one camera device is connected, the camera we want to connect
# to will be the only one in the instrument list.
camera = instrument(paramsets[0])
#initialize live camera feed
camera.start_live_video()
#this loop updates the image being shown
while camera.wait_for_frame():
frame = camera.latest_frame()
cv2.imshow('frame', frame)
#wait 100 ms
cv2.waitKey(100)
#checks to see if the window was closed if closed exit loop to stop image from refreshing
#without this the loop will automatically open a new window
if cv2.getWindowProperty('frame', cv2.WND_PROP_VISIBLE) < 1: break
#I down loaded the source files for instrumental from git hum they are at C:\Users\ecestudent\Downloads\Instrumental-master
cv2.destroyAllWindows()
import numpy as np
from instrumental import instrument, u, list_instruments
import time
from datetime import datetime
import pickle
import pprint
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit
import os
from statistics import stdev
from tqdm import tqdm
from scipy.interpolate import interp1d
import nidaqmx
#%% initialize
try:
C = instrument('C')
except:
C = instrument('C')
print("C.serial = " + C.serial)
#C.offset = Offset*u.degree
if __name__ == '__main__':
daq = instrument('daq')
rm = pyvisa.ResourceManager()
Pmeter = rm.open_resource('ASRL3::INSTR')
MaiTai = rm.open_resource('ASRL1::INSTR')
#%%
def Shutter(op):
# from instrumental import Q_, u, instrument
# from scipy.optimize import curve_fit
# import matplotlib.pyplot as plt
# from datetime import datetime
#
# # open oscilloscope
# scope = instrument('DPO2024')
#
# def lorentzian(x,x0,gamma):
# return ( gamma / ( 2 * np.pi ) ) / ( ( x - x0 )**2 + ( gamma / 2.0 )**2 )
#
# def transmission_trace(ch=2,f_sb=10*u.GHz,plot=True,save=False,t_bg_min_ind=0,t_bg_max_ind=1000,delta_t_min=100*u.usec):
# t,V = scope.get_data(channel=ch)
# dt = t[1]-t[0]
# ind_max = np.argmax(V)
# t_max = t[ind_max]
# V_bg = np.mean(V[t_bg_min_ind:t_bg_max_ind])
# V_norm = (V-V_bg).magnitude / np.max((V-V_bg).magnitude)
import numpy as np
import matplotlib.pyplot as plt
from instrumental import Q_, u, instrument
from datetime import datetime
import cavity_trace_fitting as fitting
scope = instrument('DPO2024')
t, V = scope.get_data(channel=2)
ind0 = 420000
ind1 = 780000
params = fitting.guided_trace_fit(t[ind0:ind1], V[ind0:ind1], 10 * u.GHz)
#plt.plot(t[ind0:ind1],V[ind0:ind1]); plt.show()
hbox.addWidget(button)
hbox.addWidget(btn_grab)
# Assign layouts to widgets
main_area.setLayout(vbox)
button_area.setLayout(hbox)
scroll_area.setLayout(QVBoxLayout())
# Attach some child widgets directly
win.setCentralWidget(main_area)
return app, win, button, btn_grab, scroll_area
if __name__ == '__main__':
cam = instrument('pxCam') # Replace with your camera's alias
with cam:
app, win, ssbutton, btn_grab, scroll_area = create_window()
camview = gui.CameraView(cam)
scroll_area.setWidget(camview)
ssbutton.running = False
def start_stop():
if not ssbutton.running:
camview.start_video()
ssbutton.setText("Stop Video")
ssbutton.running = True
else:
camview.stop_video()
ssbutton.setText("Start Video")
filling_values=np.nan,
unpack=True)
temp_cov = Q_(data_cov[0, :], u.degC)
lm_cov = data_cov[1:, :] * u.nm
LM_cov = np.array([34, 34.8, 35.5, 35.8, 35.97
]) * u.um # poling periods of MSHG2600-1.0-40 PPLN crystal
## import my own SHG calibration data
current_poling_region = 1 # should be fixed when we have a stage to move the PPLN crystal between poling regions.
###############################################
### Open instruments
#spec = instrument(**bristol_params) can't do this here or you get tons of error messages
sm = instrument(module='motion.USMC',
classname='USMC',
id=0,
version=b'2504',
serial=b'0000000000006302')
#oc = instrument('OC')
oc = instrument(module='tempcontrollers.covesion',
classname='OC',
visa_address='ASRL4::INSTR')
#pwrmtr = instrument({'visa_address':pwrmtr_visa_address,'module':'powermeters.thorlabs'})
### function definitions
print_statusline = covesion.print_statusline
## define a decorator function to allow me to keep the Bristol open throughout
## functions defined here rather than openning and closing it over and over
## again.
def _run_cam(self, which_cam=None):
""" Fires up the camera stream (ThorLabs UC480)
Parameters
----------
which_cam : bool
Chooses between displaying the Pre- or Post- chamber ThorCams.
Passing nothing returns a camera object for silent use (not displaying).
Returns
-------
:obj:`instrumental.drivers.cameras.uc480`, None
Only returns if no selection for `which_cam` is made.
See Also
--------
`Camera Driver Documentation <https://instrumental-lib.readthedocs.io/en/stable/uc480-cameras.html>`_
:doc:`Guide to GUI & camera use <../how-to/gui>`
Notes
-----
.. todo:: Integrate button for saving optimized waveforms.
"""
names = ['ThorCam', 'ChamberCam'
] # First one is default for stabilize_intensity(wav)
cam = instrument(names[which_cam])
## Cam Live Stream ##
cam.start_live_video(framerate=10 * u.hertz)
## No-Display mode ##
if which_cam is None:
return cam
## Create Figure ##
fig = plt.figure()
ax1 = fig.add_subplot(1, 1, 1)
## Animation Frame ##
def animate(i):
if cam.wait_for_frame():
im = cam.latest_frame()
ax1.clear()
if which_cam:
im = im[300:501, 300:501]
ax1.imshow(im)
## Button: Automatic Exposure Adjustment ##
def find_exposure(event):
fix_exposure(cam, set_exposure)
## Button: Intensity Feedback ##
def stabilize(event): # Wrapper for Intensity Feedback function.
self.stabilize_intensity(self.Wave, which_cam, cam)
def snapshot(event):
im = cam.latest_frame()
plot_image(which_cam, im, 12, guess=True)
def switch_cam(event):
nonlocal cam, which_cam
cam.close()
which_cam = not which_cam
cam = instrument(names[which_cam])
cam.start_live_video(framerate=10 * u.hertz)
## Slider: Exposure ##
def adjust_exposure(exp_t):
cam._set_exposure(exp_t * u.milliseconds)
## Button Construction ##
correct_exposure = Button(plt.axes([0.56, 0.0, 0.13, 0.05]),
'AutoExpose')
stabilize_button = Button(plt.axes([0.7, 0.0, 0.1, 0.05]), 'Stabilize')
plot_snapshot = Button(plt.axes([0.81, 0.0, 0.09, 0.05]), 'Plot')
switch_cameras = Button(plt.axes([0.91, 0.0, 0.09, 0.05]), 'Switch')
set_exposure = Slider(plt.axes([0.14, 0.9, 0.73, 0.05]), 'Exposure',
0.1, MAX_EXP, 20)
correct_exposure.on_clicked(find_exposure)
stabilize_button.on_clicked(stabilize)
plot_snapshot.on_clicked(snapshot)
switch_cameras.on_clicked(switch_cam)
set_exposure.on_changed(adjust_exposure)
## Begin Animation ##
_ = animation.FuncAnimation(fig, animate, interval=100)
plt.show()
cam.close()
plt.close(fig)
self._error_check()
def _run_cam(self, cam_name, verbose=False):
""" Fires up the camera stream (ThorLabs UC480),
then plots frames at a modifiable framerate in a Figure.
Additionally, sets up special button functionality on the Figure.
"""
## https://instrumental-lib.readthedocs.io/en/stable/uc480-cameras.html ##
## ^^LOOK HERE^^ for driver documentation ##
## If you have problems here ##
## then see above doc & ##
## Y:\E6\Software\Python\Instrument Control\ThorLabs UC480\cam_control.py ##
if cam_name == 'ChamberCam':
cam = instrument(cam_name)
else:
cam = instrument('ThorCam')
## Cam Live Stream ##
cam.start_live_video(framerate=10 * u.hertz)
exp_t = cam._get_exposure()
## Create Figure ##
fig = plt.figure()
ax1 = fig.add_subplot(1, 1, 1)
## Animation Frame ##
def animate(i):
if cam.wait_for_frame():
im = cam.latest_frame()
ax1.clear()
ax1.imshow(im)
## Button: Automatic Exposure Adjustment ##
def find_exposure(event):
fix_exposure(cam, set_exposure, verbose)
## Button: Intensity Feedback ##
def stabilize(event): # Wrapper for Intensity Feedback function.
self.stabilize_intensity(cam, verbose)
## Button: Pause ##
def playback(event):
if playback.running:
spcm_dwSetParam_i32(self.hCard, SPC_M2CMD, M2CMD_CARD_STOP)
playback.running = 0
else:
spcm_dwSetParam_i32(self.hCard, SPC_M2CMD, M2CMD_CARD_START | M2CMD_CARD_ENABLETRIGGER)
playback.running = 1
playback.running = 1
## Slider: Exposure ##
def adjust_exposure(exp_t):
cam._set_exposure(exp_t * u.milliseconds)
## Button Construction ##
axspos = plt.axes([0.56, 0.0, 0.13, 0.05])
axstab = plt.axes([0.7, 0.0, 0.1, 0.05])
axstop = plt.axes([0.81, 0.0, 0.12, 0.05])
axspar = plt.axes([0.14, 0.9, 0.73, 0.05])
correct_exposure = Button(axspos, 'AutoExpose')
stabilize_button = Button(axstab, 'Stabilize')
pause_play = Button(axstop, 'Pause/Play')
set_exposure = Slider(axspar, 'Exposure', valmin=0.1, valmax=80, valinit=exp_t.magnitude)
correct_exposure.on_clicked(find_exposure)
stabilize_button.on_clicked(stabilize)
pause_play.on_clicked(playback)
set_exposure.on_changed(adjust_exposure)
## Begin Animation ##
_ = animation.FuncAnimation(fig, animate, interval=100)
plt.show()
plt.close(fig)
self._error_check()
