def load_file_callback(self):
directory = open_directory(caption='Select images',
directory='/opt/Microscope/DMD/',
parent=self.parent)
self.directory = directory
print(self.directory)
self.load_file_label.setText(self.directory)
def create_report():
directory = filedialogs.open_directory()
files = filedialogs.get_files_directory(directory + '/*.hdf5')
total_balls = {}
for file in files:
file_short = os.path.splitext(os.path.split(file)[1])[0]
meta = dataframes.MetaStore(file)
total_balls[file_short] = meta.metadata['n']
plt.figure()
plt.bar(range(len(total_balls)), list(total_balls.values()),
align='center')
plt.xticks(range(len(total_balls)), list(total_balls.keys()))
plt.ylabel('Total Balls')
from Generic import filedialogs, images
direc = filedialogs.open_directory()
files = filedialogs.get_files_directory(direc + '/*.png')
final_image = []
for file in files:
im = images.load(file)
im = images.bgr_2_grayscale(im)
final_image.append(im)
# %%
mean_image = images.mean(final_image)
images.save(mean_image, direc + '/mean_image.png')
import os
import numpy as np
from Generic import filedialogs
from Generic.equipment import pico_scope as scope
from Shaker import power
power_supply = power.PowerSupply()
PicoScope = scope.Scope()
direc = filedialogs.open_directory('Create a directory')
if os.path.exists(direc) is False:
os.mkdir(direc)
for d in range(0, 1001, 1):
print(d)
power_supply.change_duty(d)
for repeat in range(1, 6):
times, data, _ = PicoScope.get_V(refine_range=True)
np.savetxt(direc + '/times_{}_r{}.txt'.format(d, repeat), times)
np.savetxt(direc + '/voltage_{}_r{}.txt'.format(d, repeat), data)
power_supply.quit()
from Generic import filedialogs
from ParticleTracking import linking, configurations
import logging
ch = logging.StreamHandler()
formatter = logging.Formatter('\x1b[80D\x1b[1A\x1b[K%(message)s')
ch.setFormatter(formatter)
directory = filedialogs.open_directory('')
files = filedialogs.get_files_directory(directory + '/*.hdf5')
config = configurations.TRACKPY_NITRILE_PARAMETERS
for file in files:
print(file)
linker = linking.Linker(file)
linker.link(config['search_range'], memory=config['memory'])
from Generic import filedialogs
from ParticleTracking import correlations
directory = filedialogs.open_directory('Open Directory containing videos')
files = filedialogs.get_files_directory(directory + '/*.hdf5')
for file in files:
if 'corr' not in file:
print(file)
correlations.calculate_corr_data(file)
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
from scipy import signal, optimize
from tqdm import tqdm
from Generic import filedialogs
sns.set()
#%%
direc = filedialogs.open_directory('select a directory')
#%%
times = np.loadtxt(direc + '/times_452.txt')
voltage = np.loadtxt(direc + '/voltage_452.txt')
plt.figure()
plt.plot(times, voltage)
plt.show()
# %%
n0 = 850
n1 = 950
times0, times1 = (np.loadtxt(direc + '/times_{}.txt'.format(n0)),
np.loadtxt(direc + '/times_{}.txt'.format(n1)))
voltage0, voltage1 = (np.loadtxt(direc + '/voltage_{}.txt'.format(n0)),
np.loadtxt(direc + '/voltage_{}.txt'.format(n1)))
plt.figure()
plt.plot(times0, voltage0, label=n0)
plt.plot(times1, voltage1, label=n1)
plt.xlabel('Time (s)')
