def input_objects(folder, in_f):
if NEW_OBJECTS:
for f in in_f:
print 'Saving ' + folder + 'input_' + str(f)
im_obj = FiberImage(input_files(folder, f),
dark=dark_files(folder),
ambient=ambient_files(folder),
input_fnum=f,
threshold=FRD_CALIBRATION_THRESHOLD,
camera='ff')
im_obj.save_object(folder + 'input_' + str(f) + '/ff_object.pkl')
im_obj.save_image(folder + 'input_' + str(f) + '/ff_corrected.fit')
return [folder + 'input_' + str(f) + '/ff_object.pkl' for f in in_f]
def save_new_object(folder,
test,
cam,
ambient_folder='ambient/',
dark_folder='dark/'):
print 'saving new object'
images = image_list(folder + test + '/' + cam + '_')
ambient = image_list(folder + ambient_folder + cam + '_')
dark = image_list(folder + dark_folder + cam + '_')
im_obj = FiberImage(images, dark=dark, ambient=ambient, camera=cam)
im_obj.save_image(image_file(folder, test, cam))
im_obj.save_object(object_file(folder, test, cam))
def save_baseline_object(folder,
test,
cam,
best_test,
fiber_method='edge',
kernel=None):
print 'saving new baseline object'
im_obj = FiberImage(object_file(folder, best_test, cam))
baseline = baseline_image(im_obj,
stdev=im_obj.get_dark_image().std(),
fiber_method=fiber_method,
kernel_size=kernel)
baseline_obj = FiberImage(baseline,
camera=cam,
pixel_size=im_obj.pixel_size)
baseline_obj.save_image(image_file(folder, test, cam))
baseline_obj.save_object(object_file(folder, test, cam))