def take_image(filename):
"""take_image: The function will create a Operating System timestamp variable (OS_time), configure
the 2 IRCSP cameras to take an image (image1 & image2) and store the FPA temperatures
(temp1 & temp2) into an HDF5 File format with a unique naming convention.
Parameters:
filename - the filename of the HDF5 file.
Returns: HDF5 file with 2 FLIR Boson Images, 2 FPA Temperatures & OS_time string.
"""
# Time/Speed Test - Start
start = datetime.datetime.now()
#Create Timestamp for File Creation Tracking
now = datetime.datetime.now()
OS_time = now.strftime("%H:%M")
camera1 = Boson(port='COM4')
#camera2 = Boson(port='COM6')
print(camera1.find_video_device())
#print(camera2.find_video_device())
#set FFC to manual
#camera1.set_ffc_manual()
#camera2.set_ffc_manual()
#get FPA temperature
#temp1 = camera1.get_fpa_temperature()
#temp2 = camera2.get_fpa_temperature()
#Take Image
#image1 = camera1.grab(device_id = 1)
#image2 = camera2.grab(device_id = 2)
#Close Camera
camera1.close()
#camera2.close()
# Open as Read-Write ("a" - creates file if doesn't exist)
#with h5py.File(filename, "a") as h5:
#h5.attrs["OS_time"] = OS_time
#h5["image1"] = image1
#h5["image2"] = image2
#h5["temp1"] = temp1
#h5["temp2"] = temp2
#Time/Speed Test - Finish
finish = datetime.datetime.now()
print("Image Capture File: ", filename, " created in ", finish - start)
#Adjust Sleep for File Creation Rate - (File/Seconds)
time.sleep(10)
class ThreadedBoson(ThreadedCamera):
def __init__(self,
device=None,
port=None,
baudrate=921600,
loglevel=logging.WARNING):
super(ThreadedBoson, self).__init__()
self.temperature = None
self._connect(device, port, baudrate, loglevel)
def _connect(self, device, port, baudrate, loglevel):
try:
self.camera = Boson(port, baudrate, loglevel)
self.camera.setup_video(device)
self.camera.grab()
if not self.camera.cap.isOpened():
warnings.warn("Failed to open camera")
self.camera = None
except IOError:
warnings.warn("Failed to find camera")
self.camera = None
def height(self):
return self.camera.cap.get(cv2.CAP_PROP_FRAME_HEIGHT)
def width(self):
return self.camera.cap.get(cv2.CAP_PROP_FRAME_WIDTH)
def channels(self):
return 1
def dtype(self):
return np.uint16
def _grab(self):
image = np.expand_dims(self.camera.grab(), -1)
self.min_count = image.min()
self.max_count = image.max()
return image
def close(self):
self.camera.close()
def get_target_fps(self):
return self.camera.cap.get(cv2.CAP_PROP_FPS)
single_cam_mono_sweep Created on Wed Dec 9 13:12:18 2020 This script will sweep over wavelength on the monochomator for a single measurement configuration. This includes image capture for a single camera (no MS) And a single polarization state (unpol, H,V, ect) Output will be saved as a hdf5 file Uses flirpy, make sure enviroment is open uses python-usbtmc @author: khart """ from flirpy.camera.boson import Boson import matplotlib.pyplot as plt import numpy as np import h5py import time #initialize camera camera1 = Boson(port="COM5") camera2 = Boson(port="COM6") print(camera1.find_video_device()) print(camera2.find_video_device()) #close camera camera1.close() camera2.close()
motor.move_by(45) time.sleep(wait) plt.imshow(I45) plt.show() I90 = take_image(frames) motor.move_by(45) time.sleep(wait) plt.imshow(I90) plt.show() I135 = take_image(frames) plt.imshow(I135) plt.show() camera.close() S0 = (I0 + I45 + I90 + I135) / 4 S1 = I0 - I90 S2 = I45 - I135 plt.imshow(S0) plt.colorbar() plt.show() plt.imshow(S1 / S0) plt.colorbar() plt.show() plt.imshow(S2 / S0) plt.colorbar()
if ffc in ['Y', 'y', 'Yes', 'yes', 'YES']:
print('Initiating FFC')
cam.do_ffc()
#Ask user how many images and at what intervals
num = int(input('How many images to take? \n'))
wait = float(input('How long to wait between images [s]? \n'))
#ask for the file name and path
path = input('What is the filepath? \n')
if os.path.exists(path):
print('\n saving data to ', path)
else:
print('path not found, closing camera')
cam.close()
name = input('What is the file name? \n') + '.h5.'
user_notes = input('User Notes: \n')
#preallocate file size
images = np.zeros((num, 256, 320))
temps = np.zeros((num))
for i in range(num):
images[i, :, :] = cam.grab(device_id=1)
temps[i] = cam.get_fpa_temperature()
print('on image ', str(i + 1), ' of ', str(num))
time.sleep(wait)
cam.close()
from flirpy.camera.boson import Boson c = Boson(port="COM14") c.grab() c2 = Boson(port="COM17") c2.grab() c.close()
def test_open_boson():
camera = Boson()
camera.close()