def main():
print TITLE
print
for cam in CAMERAS:
methods = deepcopy(METHODS)
if cam == 'nf' and 'gaussian' in METHODS:
methods.remove('gaussian')
elif cam == 'ff' and 'tophat' in METHODS:
methods.remove('tophat')
base_i = None
for i, test in enumerate(TESTS):
if 'baseline' in test:
base_i = i
continue
print cam, test
new_object = NEW_OBJECTS or cam + '_obj.pkl' not in os.listdir(FOLDER + test + '/')
if new_object:
ambient = 'ambient/'
dark = 'dark/'
save_new_object(FOLDER, test, cam, ambient, dark)
if NEW_DATA or new_object:
set_new_data(FOLDER + test, cam, methods,
fiber_method=FIBER_METHOD,
kernel_size=kernel)
if base_i is not None:
new_baseline = NEW_BASELINE or cam + '_obj.pkl' not in os.listdir(FOLDER + TESTS[base_i] + '/')
if new_baseline:
save_baseline_object(FOLDER + TESTS[base_i], cam,
TESTS[base_i-1],
fiber_method=FIBER_METHOD,
kernel=kernel)
if NEW_DATA or new_baseline:
set_new_data(FOLDER + TESTS[base_i], cam, methods,
fiber_method=FIBER_METHOD,
kernel_size=kernel)
if 'fft' in methods:
methods.remove('fft')
save_fft_plot(FOLDER, TESTS, cam, LABELS, TITLE)
save_modal_noise_data(FOLDER, TESTS, cam, LABELS, methods, TITLE)
def main():
print TITLE
print
for cam in CAMERAS:
methods = deepcopy(METHODS)
if cam == 'nf' and 'gaussian' in METHODS:
methods.remove('gaussian')
elif cam == 'ff' and 'tophat' in METHODS:
methods.remove('tophat')
kernel = KERNEL
if cam == 'ff':
kernel = None
for i, test in enumerate(TESTS):
folder = FOLDER + test
print cam, test
new_object = NEW_OBJECTS or cam + '_obj.pkl' not in os.listdir(folder)
if new_object:
dark_folder = '../dark/'
ambient_folder = '../ambient_1s/'
if '1s_new' in folder:
ambient_folder = '../ambient_1s_new/'
if '8s_new' in test:
ambient_folder = '../ambient_8s_new/'
elif '8s' in test:
ambient_folder = '../ambient_8s/'
if '10s' in test:
ambient_folder = '../ambient_10s/'
if '80s' in test:
ambient_folder = '../ambient_80s/'
save_new_object(folder, cam, ambient_folder, dark_folder)
if NEW_DATA or new_object:
set_new_data(folder, cam, methods,
fiber_method=FIBER_METHOD,
kernel_size=kernel)
if 'fft' in methods:
methods.remove('fft')
save_fft_plot(FOLDER, TESTS, cam, LABELS, TITLE)
save_modal_noise_bar_plot(FOLDER, TESTS, cam, LABELS, methods[0], TITLE)
if 'baseline' in test:
base_i = i
continue
print cam, test
new_object = NEW_OBJECTS or cam + '_obj.pkl' not in os.listdir(FOLDER + test + '/')
if new_object:
dark_folder = 'dark/'
ambient_folder = 'ambient_1s/'
if '8s' in test:
ambient_folder = 'ambient_8s/'
if '10s' in test:
ambient_folder = 'ambient_10s/'
if '80s' in test:
ambient_folder = 'ambient_80s/'
save_new_object(FOLDER, test, cam, ambient_folder)
if NEW_DATA or new_object:
set_new_data(FOLDER + test, cam, methods,
fiber_method=FIBER_METHOD,
kernel_size=KERNEL)
if base_i is not None:
new_baseline = NEW_BASELINE or cam + '_obj.pkl' not in os.listdir(FOLDER + TESTS[base_i] + '/')
if new_baseline:
save_baseline_object(FOLDER + TESTS[base_i], cam,
TESTS[base_i-1],
fiber_method=FIBER_METHOD,
kernel=KERNEL)
if NEW_DATA or new_baseline:
for i, test in enumerate(TESTS):
if 'baseline_filter' in test:
base_i = i
continue
print cam, test
new_object = NEW_OBJECTS or cam + '_obj.pkl' not in os.listdir(FOLDER + test + '/')
if new_object:
ambient_folder = 'ambient_1s/'
if '8s' in test:
ambient_folder = 'ambient_8s/'
if '10s' in test:
ambient_folder = 'ambient_10s/'
if '80s' in test:
ambient_folder = 'ambient_80s/'
save_new_object(FOLDER, test, cam, ambient_folder)
if NEW_DATA or new_object:
set_new_data(FOLDER, test, cam, methods, FIBER_METHOD, KERNEL)
if base_i is not None:
new_baseline = NEW_BASELINE or cam + '_obj.pkl' not in os.listdir(FOLDER + TESTS[base_i] + '/')
if new_baseline:
save_baseline_object(FOLDER, TESTS[base_i], cam, TESTS[base_i-1], FIBER_METHOD)
if NEW_DATA or new_baseline:
set_new_data(FOLDER, TESTS[base_i], cam, FIBER_METHOD, KERNEL)
if 'fft' in methods:
methods.remove('fft')
save_fft_plot(FOLDER, TESTS, cam, LABELS, TITLE)
if cam == 'nf' and 'gaussian' in METHODS:
methods.remove('gaussian')
elif cam == 'ff' and 'tophat' in METHODS:
methods.remove('tophat')
base_i = None
for i, test in enumerate(TESTS):
if 'baseline' in test:
base_i = i
continue
print cam, test
new_object = NEW_OBJECTS or cam + '_obj.pkl' not in os.listdir(
FOLDER + test + '/')
if new_object:
save_new_object(FOLDER, test, cam)
if NEW_DATA or new_object:
set_new_data(FOLDER, test, cam, methods, FIBER_METHOD, KERNEL)
if base_i is not None:
new_baseline = NEW_BASELINE or cam + '_obj.pkl' not in os.listdir(
FOLDER + TESTS[base_i] + '/')
if new_baseline:
save_baseline_object(FOLDER, TESTS[base_i], cam,
TESTS[base_i - 1], FIBER_METHOD, KERNEL)
if NEW_DATA or new_baseline:
set_new_data(FOLDER, TESTS[base_i], cam, methods, FIBER_METHOD,
KERNEL)
elif cam == 'ff' and 'tophat' in METHODS:
methods.remove('tophat')
base_i = None
for i, test in enumerate(TESTS):
if 'baseline_filter' in test:
base_i = i
continue
print cam, test
new_object = NEW_OBJECTS or cam + '_obj.pkl' not in os.listdir(
FOLDER + test + '/')
if new_object:
save_new_object(FOLDER,
test,
cam,
ambient_folder=CAL[i] + 'ambient/',
dark_folder=CAL[i] + 'dark/')
if NEW_DATA or new_object:
set_new_data(FOLDER, test, cam, methods, FIBER_METHOD)
if base_i is not None:
new_baseline = NEW_BASELINE or cam + '_obj.pkl' not in os.listdir(
FOLDER + TESTS[base_i] + '/')
if new_baseline:
save_baseline_object(FOLDER, TESTS[base_i], cam,
TESTS[base_i - 1], FIBER_METHOD)
if NEW_DATA or new_baseline:
set_new_data(FOLDER, TESTS[base_i], cam, methods, FIBER_METHOD)