main_dir = io.config_dir_path()
exp_settings = io.exp_in(main_dir)
print(f'Experiment Settings:\n{exp_settings}\n')
dp.processing_parameters(main_dir=main_dir,
exp_settings=exp_settings,
image_save=False)
for hs_img in exp_settings['hs_imgs']:
img_dir = os.path.join(main_dir, hs_img)
if not os.path.isdir(img_dir):
continue
step, wl, f, power, norm_power = io.get_pwr_spectrum(dir_name=img_dir,
plot_show=False,
plot_save=True)
io.create_all_dirs(dir_name=img_dir)
data_files = io.extract_files(dir_name=img_dir, file_string='img_')
print('\nNormalising csvs...')
for index, file in enumerate(data_files):
file_path = os.path.join(img_dir, file)
img, file_name = io.csv_in(file_path=file_path)
_, img_no = file_name.split('_')
io.png_out(image_data=img,
file_name=file_name,
dir_name=img_dir,
print(f'Experiment Settings:')
pprint(exp_settings)
print('=' * 40)
dp.processing_parameters(main_dir=main_dir,
exp_settings=exp_settings,
image_save=False)
save_imgs = True if 'True' in experiment["save_imgs"] else False
for hs_img in exp_settings['hs_imgs']:
img_dir = os.path.join(main_dir, hs_img)
if not os.path.isdir(img_dir):
continue
step, wl, f, power, norm_power = io.get_pwr_spectrum(
dir_name=main_dir, plot_show=False, plot_save=save_imgs)
io.create_all_dirs(dir_name=img_dir)
data_files = io.extract_files(dir_name=img_dir, file_string='img_')
print('Normalising data...')
for index, file in enumerate(data_files):
file_path = os.path.join(img_dir, file)
img, file_name = io.csv_in(file_path=file_path)
if 'Power Meter' in experiment["normalise"]:
norm_img = dp.pwr_norm(image_data=img,
file_name=file_name,
norm_power=norm_power,
dir_name=img_dir)