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m_spec.py
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m_spec.py
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# -------------------------------------------------------------------
# m_spec, processing of meteor spectra
# Author: Martin Dubs, 2020
# -------------------------------------------------------------------
import logging
import os
import os.path as path
import time
import warnings
import PySimpleGUI as sg
import numpy as np
from skimage import io
import m_plot
import m_specfun as m_fun
version = '0.9.21'
# -------------------------------------------------------------------
# main program
# -------------------------------------------------------------------
def main():
# start with default inifile, if inifile not found, a default configuration is loaded
bc_enabled = ('white', 'green')
bc_disabled = (None, 'darkblue')
sg.SetGlobalIcon('Koji.ico')
sg_ver = sg.version.split(' ')[0]
print('PySimpleGUI', sg_ver)
if int(sg_ver.split('.')[0]) >= 4 and int(sg_ver.split('.')[1]) >= 9:
sg.change_look_and_feel('SystemDefault') # suppresses message in PySimpleGUI >= 4.9.0
print('version m_spec, m_specfun, m_plot', version, m_fun.version, m_plot.version)
logging.info('M_SPEC START +++++++++++++++++++++++++++++++++++++++++++++')
logging.info(f'M_SPEC version {version}, {m_fun.version} ++++++++++++++++++++++++++++')
ini_file = 'm_set.ini'
par_text, par_dict, res_dict, fits_dict, opt_dict = m_fun.read_configuration(ini_file,
m_fun.par_dict, m_fun.res_dict, m_fun.opt_dict)
res_key = list(res_dict.keys())
res_v = list(res_dict.values())
fits_dict['VERSION'] = version
fits_v = list(fits_dict.values())
[zoom, wsx, wsy, wlocx, wlocy, xoff_calc, yoff_calc, xoff_setup, yoff_setup,
debug, fit_report, win2ima, opt_comment, png_name, outpath, mdist, colorflag, bob_doubler,
plot_w, plot_h, i_min, i_max, graph_size, show_images] = list(opt_dict.values())
if par_text == '':
sg.PopupError(f'no valid configuration found, default {ini_file} created')
# default values for video
maxim = 200
result_text = ''
video_list_length = 20
# default values for distortion
n_back = 20
dat_tim = ''
sta = ''
# default values for registration
first = 25
nm = 0
nim = 0
nmp = 0
i_reg = 1
contrast = 1
reg_text = ''
reg_file = 'r'
out_fil = ''
outfile = ''
last_file_sum = False
# default values for calibration
_image = np.flipud(io.imread('tmp.png')) # get shape of screen image
(canvasy, canvasx) = _image.shape[:2]
raw_spec_file = ''
select_line_enabled = False
table = []
spec_file = ''
llist = ''
cal_dat_file = ''
cal_text_file = ''
c = []
graph_enabled = False
line_list = 'm_linelist'
table_edited = False
graph_s2 = (graph_size, graph_size)
idg = None
# -------------------------------------------------------------------
# definition of GUI
# -------------------------------------------------------------------
# setup tab---------------------------------------------------------------------
result_elem = sg.Multiline(par_text, size=(50, 30), disabled=True, autoscroll=True)
setup_file_display_elem = sg.InputText('m_set.ini', size=(60, 1), key='-INI_FILE-')
menu_def = [
['File', ['Exit']],
['View', ['Logfile', 'Edit Text File', 'Fits-Header']],
['Tools', ['Add Images']],
['Help', 'About...'], ]
setup_file_element = sg.Frame('Configuration File',
[[sg.Text('File'), setup_file_display_elem,
sg.Button('Load Setup', key='-LOAD_SETUP-'),
sg.Button('Save Setup', key='-SAVE_SETUP-'),
sg.Button('Save Default', key='-SAVE_DEFAULT-',
tooltip='Save m_set.ini as default')]])
row_layout = [[sg.Text('Distortion')]]
for k in range(7):
kk = f'k{k}'
row_layout += [sg.Text(res_key[k], size=(10, 1)),
sg.Input(res_v[k], size=(45, 1), key=kk, tooltip='Distortion parameters')],
for k in range(7):
kk = f'k{k + 7}'
row_layout += [sg.Text(list(fits_dict.keys())[k], size=(10, 1)),
sg.Input(fits_v[k], size=(45, 1), key=kk, tooltip='Fits-header default values')],
# Options
zoom_elem = sg.Input(zoom, key='-ZOOM-', size=(7, 1), tooltip='display image scale if scale_win2ima')
cb_elem_debug = sg.Checkbox('debug', default=debug, pad=(10, 0), key='-DEBUG-')
cb_elem_fitreport = sg.Checkbox('fit-report', default=fit_report,
pad=(10, 0), key='-FIT_REPORT-')
cb_elem_w2i = sg.Checkbox('scale_win2ima', default=win2ima,
pad=(10, 0), key='-W2I-', tooltip='if not checked scale image to window size')
input_rows = [[sg.Text('Zoom', size=(6, 1)), zoom_elem],
[cb_elem_debug], [cb_elem_fitreport], [cb_elem_w2i],
[sg.Text('Comment', size=(10, 1))],
[sg.InputText(opt_comment, size=(16, 1), key='-COMMENT-')],
[sg.Button('Apply', key='-APPLY_OPT-')]]
layout_options = sg.Frame('Options', input_rows)
# Parameters
layout_setup = [[sg.Frame('Settings', [[setup_file_element], [result_elem,
sg.Frame('Setup Parameters', row_layout), layout_options]])]]
# Video tab---------------------------------------------------------------------
image_element_video = sg.Graph(canvas_size=graph_s2, graph_bottom_left=(0, 0),
graph_top_right=graph_s2, key='-V_IMAGE-')
filename_display_elem = sg.InputText('', size=(60, 1), key='-VIDEO-')
image_options_element = [[sg.Text('Temporary Image Folder')],
[sg.Text('PNG Image Base:'),
sg.InputText(png_name, size=(25, 1), key='-PNG_BASE-')],
[sg.Checkbox('Bob Doubler', default=False, pad=(10, 0), key='-BOB-')],
[sg.Checkbox('Bottom Field First', default=True, pad=(10, 0), key='-BFF-')],
[sg.Combo([1, 2, 3, 4], key='-BIN-', enable_events=True,
default_value=par_dict['i_binning']), sg.Text(' Binning')],
[sg.Text('Max number of images:'),
sg.InputText(str(maxim), size=(8, 1), key='-MAXIM-',
tooltip='limit output to number of images')],
[sg.Text('_' * 44)], [sg.Text('Results')],
[sg.Multiline('', size=(42, 20), disabled=True,
key='-RESULT-', autoscroll=True)]]
sub_frame_element = sg.Frame('Video File', [[sg.Text('File'),
filename_display_elem, sg.Button('Load_Video',
file_types=(('AVI-File', '*.avi'), ('ALL Files', '*.*'))),
sg.Button('Previous', key='-PREVIOUS-', disabled=True),
sg.Button('Next', key='-NEXT-', disabled=True),
sg.Button('Continue', key='-GOTO_DIST-', disabled=True,
button_color=bc_disabled, bind_return_key=True)]])
video_options_element = sg.Frame('Options', image_options_element)
# Distortion tab--------------------------------------------------------------------
dist_elem = sg.Frame('Parameters',
[[sg.Text('temporary image folder')],
[sg.InputText(png_name, size=(26, 1), key='-PNG_BASED-', enable_events=True,
tooltip='Path and filebase of extracted images, e.g. "tmp/m_"')],
[sg.Text('Process folder')],
[sg.InputText(outpath, size=(34, 1), key='-OUT-', disabled=False),
sg.Button('Select', key='-SEL_OUT-', tooltip='select process folder for output')],
[sg.Text('Distorted Image Base:'),
sg.InputText(mdist, size=(22, 1), key='-M_DIST-')],
[sg.Checkbox('Apply distortion', default=True, pad=(10, 0), key='-DIST-')],
[sg.Checkbox('Background subtraction', default=True,
pad=(10, 0), key='-BACK-')],
[sg.Checkbox('Color processing', default=False,
pad=(10, 0), key='-COLOR-')],
[sg.Checkbox('Bob Doubler', default=False, pad=(10, 0), key='-BOB_D-')],
[sg.Text('Number of background images:'),
sg.InputText(str(n_back), size=(15, 1), key='-N_BACK-')],
[sg.Text('Index of start image:'),
sg.InputText(str(first), size=(24, 1), key='-N_START-')],
[sg.Text('Number of distorted images:'),
sg.InputText(str(nm), size=(17, 1), key='-N_IMAGE-')], [sg.Text('_' * 34)],
[sg.Button('Apply Distortion', key='-APPLY_DIST-'),
sg.Checkbox('Show Images', default=show_images, key='-SHOW_IM-'),
sg.Button('Continue', key='-GOTO_REG-', disabled=True)],
[sg.Text('Results')], [sg.Multiline('Result', size=(42, 8), disabled=True,
key='-RESULT2-', autoscroll=True)]])
image_element_distortion = sg.Graph(canvas_size=graph_s2, graph_bottom_left=(0, 0),
graph_top_right=graph_s2, key='-D_IMAGE-')
# Registration tab--------------------------------------------------------------------
image_element_registration = sg.Graph(canvas_size=graph_s2, graph_bottom_left=(0, 0),
graph_top_right=graph_s2, key='-R_IMAGE-')
register_elem = [[sg.Frame('Registration', [
[sg.Text('Process folder'),
sg.InputText(outpath, size=(30, 1), key='-OUT_R-', disabled=True),
sg.Button('Select', key='-SEL_OUT_R-', tooltip='Select process folder'),
sg.Button('Previous', key='-PREV_R-'),
sg.Button('Next', key='-NEXT_R-'), sg.Text('Current Image:'),
sg.InputText(mdist + str(i_reg), size=(20, 1), key='-INDEX_R-', disabled=True),
sg.Text('Max Images:'),
sg.InputText(str(nm), size=(4, 1), key='-N_MAX_R-', tooltip='Limit number of images to register, \n' +
'if register fails, limit is set automatically'),
sg.Button('Darker', key='-LOW_C-'), sg.Button('Brighter', key='-HIGH_C-')]])],
[sg.Frame('Parameters', [[sg.Text('Distorted Image Base:'),
sg.InputText('mdist', size=(24, 1), key='-M_DIST_R-', enable_events=True)],
[sg.Text('Registered Image Base:'),
sg.InputText(reg_file, size=(22, 1), key='-REG_BASE-')],
[sg.Text('Index of start image:'),
sg.InputText('1', size=(25, 1), key='-N_START_R-')],
[sg.Text('Number of registered images:'),
sg.InputText(str(nm), size=(18, 1), key='-N_REG-',
tooltip='Limit number of images to register, \n' +
'if register fails, limit is set automatically')],
[sg.Text('_' * 44)],
[sg.Button('Sel Start', key='-SEL_START-', tooltip='set actual image as start image'),
sg.Button('Sel Last', key='-SEL_LAST-', tooltip='set actual image as last image')],
[sg.Button('Register', key='-REGISTER-'),
sg.Button('Show Sum', key='-SHOW_SUM_R-', disabled=True),
sg.Checkbox('show registered', default=False, pad=(10, 0), key='-SHOW_REG-')],
[sg.InputText('r_add', size=(32, 1), key='-RADD-', tooltip='File for spectrum extraction'),
sg.Button('Load Radd', key='-LOAD_R-', tooltip='Load file for spectrum extraction')],
[sg.Button('Add Rows', disabled=True, key='-ADD_ROWS-'),
sg.Button('Save raw spectrum', disabled=True, key='-SAVE_RAW-'),
sg.Button('Calibrate', disabled=True, key='-CAL_R-', tooltip='Continue with calibration')],
[sg.Text('Results')],
[sg.Multiline('Result', size=(42, 15), disabled=True, key='-RESULT3-',
autoscroll=True)]]), image_element_registration]]
# Calibration tab--------------------------------------------------------------------
column = [[sg.Graph(canvas_size=(canvasx, canvasy), graph_bottom_left=(0.0, 0.0),
graph_top_right=(1.0, 1.0), background_color='white', key='graph',
enable_events=True, drag_submits=True, float_values=True,
tooltip='Uncalibrated (raw) spectrum')], ]
plot_elem = [sg.Frame('Plot Spectrum',
[[sg.InputText(cal_dat_file, size=(40, 1), key='-PLOT_SPEC-')],
[sg.Button('Load Spectrum', key='-LOADS-'),
sg.Button('Plot Spectrum', key='-PLOTS-', disabled=True,
button_color=bc_disabled, tooltip='Plot calibrated spectrum')],
[sg.Checkbox('Grid lines', default=True, key='-GRID-'),
sg.Checkbox('Auto scale', default=False, key='-AUTO_SCALE-'),
sg.Checkbox('Norm scale', default=False, key='-NORM_SCALE-')],
[sg.T('lambda min:'), sg.In('', key='l_min', size=(8, 1)),
sg.T('max:'), sg.In('', key='l_max', size=(8, 1))],
[sg.T('Title Plot width'), sg.In(plot_w, key='plot_w', size=(7, 1)),
sg.T(' height'), sg.In(plot_h, key='plot_h', size=(7, 1))],
[sg.Combo(('',), size=(38, 1), key='-PLOT_TITLE-')],
[sg.Button('Multiplot', tooltip='Plot multiple spectra with vertical offset'),
sg.T('offset'), sg.In('1.0', size=(8, 1), key='-OFFSET-',
tooltip='Vertical offset for multiplot')]])]
calibrate_elem = [[sg.Frame('Calibration', [
[sg.Text('Process folder'),
sg.InputText(outpath, size=(28, 1), disabled=True, key='-OUT_C-')],
[sg.InputText(outfile, size=(31, 1), key='-SPEC_R-'),
sg.Button('Load Raw', key='-LOAD_RAW-')],
[sg.Button('Select Lines', key='-S_LINES-', disabled=True, button_color=bc_disabled,
tooltip='Click to start new calibration, finish with "Save table"')],
[sg.Text('Pos Wavelength')],
[sg.InputText('0', size=(9, 1), justification='r', key='-POS-', disabled=True),
sg.Combo([' ', '0 zero', '517.5 Mg I', '589 Na I', '777.4 O I'], key='-LAMBDA-',
enable_events=True, disabled=True, tooltip='click Box to enable selection, then select' +
'click Button Sel. Line to confirm'),
sg.Button('Sel. Line', key='-S_LINE-', disabled=True, button_color=bc_disabled),
sg.Button('Save table', key='-SAVE_T-', tooltip='Save table when finished selection of lines')],
[sg.Button('Load Table', key='-LOAD_TABLE-', disabled=True, button_color=bc_disabled),
sg.Button('Calibration', key='-CALI-', disabled=True, button_color=bc_disabled),
sg.Text('Polynomial degree:'),
sg.Combo([0, 1, 2, 3, 4, 5], key='-POLY-', enable_events=True, default_value=1,
tooltip='for single line calibration select 0, otherwise selct degree of polynomial')],
plot_elem,
[sg.Multiline('Result', size=(40, 15), disabled=True, key='-RESULT4-', autoscroll=True)]]),
sg.Frame('Raw spectrum', column, key='-COLUMN-')]]
# ==============================================================================
# Tabs and window
setup_tab_element = sg.Tab('Setup', layout_setup, key='-T_SETUP-')
video_tab_element = sg.Tab('Video conversion', [[sub_frame_element],
[video_options_element, image_element_video]], key='-T_VIDEO-')
dist_tab_element = sg.Tab('Distortion', [[dist_elem, image_element_distortion]], key='-T_DIST-')
reg_tab_element = sg.Tab('Registration', register_elem, key='-T_REG-')
cal_tab_element = sg.Tab('Calibration', calibrate_elem, key='-T_CAL-')
tabs_element = sg.TabGroup([[setup_tab_element], [video_tab_element],
[dist_tab_element], [reg_tab_element], [cal_tab_element]],
enable_events=True)
current_dir = path.abspath('')
window_title = f'M_SPEC, Version: {version}, {current_dir} , Image: '
window = sg.Window(window_title, [[sg.Menu(menu_def, tearoff=True)],
[tabs_element]], location=(wlocx, wlocy), size=(wsx, wsy), resizable=True)
window.read()
image_data, idg, actual_file = m_fun.draw_scaled_image('tmp.png', window['-V_IMAGE-'],
opt_dict, idg, resize=False)
# ==============================================================================
# Main loop
# ==============================================================================
while True:
event, values = window.read(timeout=100)
if event is None: # always give a way out!
break
event = str(event) # to catch integer events from ?
# TODO: why event = 2?
# print('event', event)
# adjust image size
if (wsx, wsy) != window.Size:
if tabs_element.get() == '-T_VIDEO-':
actual_image = window['-V_IMAGE-']
elif tabs_element.get() == '-T_DIST-':
actual_image = window['-D_IMAGE-']
else:
actual_image = window['-R_IMAGE-']
(wsx, wsy) = window.Size
opt_dict['win_width'] = wsx
opt_dict['win_height'] = wsy
image_data, idg, actual_file = m_fun.draw_scaled_image(actual_file, actual_image,
opt_dict, idg, resize=True, tmp_image=True)
window.set_title(window_title + str(actual_file))
# ==============================================================================
# Menu
# ==============================================================================
if event is 'Logfile':
m_fun.log_window(m_fun.logfile)
if event is 'Edit Text File':
m_fun.edit_text_window(llist)
if event is 'Fits-Header':
m_fun.view_fits_header(outfile)
if event is 'About...':
m_fun.about(version)
if event is 'Add Images':
sum_file, nim = m_fun.add_images(graph_s2, contrast=1, average=True)
window['-RADD-'].update(sum_file)
# ==============================================================================
# Setup Tab
# ==============================================================================
elif event == '-LOAD_SETUP-':
ini_file = sg.PopupGetFile('', title='Get Setup File', no_window=True,
file_types=(('Setup Files', '*.ini'), ('ALL Files', '*.*'),), )
if ini_file:
window.TKroot.title(window_title + ini_file)
setup_file_display_elem.update(ini_file)
par_text, par_dict, res_dict, fits_dict, opt_dict = m_fun.read_configuration(ini_file,
par_dict, res_dict, opt_dict)
result_elem.update(par_text)
# update version to current script
fits_dict['VERSION'] = version
window['-BIN-'].update(value=par_dict['i_binning'])
res_v = list(res_dict.values())
fits_v = list(fits_dict.values())
for k in range(7):
kk = f'k{k}'
window[kk].Update(res_v[k])
for k in range(7):
kk = f'k{k + 7}'
window[kk].Update(fits_v[k])
if list(opt_dict.values()):
[zoom, wsx, wsy, wlocx, wlocy, xoff_calc, yoff_calc,
xoff_setup, yoff_setup, debug, fit_report, win2ima,
opt_comment, png_name, outpath, mdist, colorflag, bob_doubler,
plot_w, plot_h, i_min, i_max, graph_size, show_images] = list(opt_dict.values())
zoom_elem.Update(zoom)
cb_elem_debug.Update(debug)
cb_elem_fitreport.Update(fit_report)
cb_elem_w2i.Update(win2ima)
window['-COMMENT-'].Update(opt_comment)
window['-PNG_BASE-'].Update(png_name)
window['-PNG_BASED-'].Update(png_name)
window['-OUT-'].Update(outpath)
window['-OUT_R-'].Update(outpath)
window['-OUT_C-'].Update(outpath)
window['-M_DIST-'].Update(mdist)
window['-M_DIST_R-'].Update(mdist)
window['-COLOR-'].Update(colorflag)
window['-BOB-'].Update(bob_doubler)
window['-BOB_D-'].Update(bob_doubler)
window['-SHOW_IM-'].Update(show_images)
window.Move(wlocx, wlocy)
elif event in ('-SAVE_SETUP-', '-SAVE_DEFAULT-', '-APPLY_OPT-', 'Exit'):
if event == '-SAVE_SETUP-':
ini_file = sg.PopupGetFile('', title='Save Setup File', no_window=True,
default_extension='*.ini', default_path=ini_file, save_as=True,
file_types=(('Setup Files', '*.ini'), ('ALL Files', '*.*'),), )
else:
ini_file = 'm_set.ini'
window.TKroot.title(window_title + ini_file)
setup_file_display_elem.update(ini_file)
par_dict['i_binning'] = int(values['-BIN-']) # from video tab
# update res_dict and fits_dict with new values
for k in range(7):
kk = f'k{k}'
if debug:
print(k, res_key[k], values[kk])
res_v[k] = float(values[kk])
res_dict = dict(list(zip(res_key, res_v))) # update res_dict
for k in range(7):
kk = f'k{k + 7}'
fits_v[k] = values[kk]
for k in res_dict.keys():
fkey = 'D_' + k.upper()
fits_dict[fkey] = np.float32(res_dict[k])
logging.info(f'{k} = {res_dict[k]:9.3e}') if k[0] == 'a' else logging.info(f'{k} = {res_dict[k]:9.3f}')
# TODO: logging.info(f'aaa') if k[0] == 'a' else logging.info(f'bbb')
logging.info(f"'DATE-OBS' = {dat_tim}")
logging.info(f"'M-STATIO' = {sta}")
# update options
opt_dict['zoom'] = float(zoom_elem.Get())
opt_dict['debug'] = cb_elem_debug.Get()
opt_dict['fit-report'] = cb_elem_fitreport.Get()
opt_dict['scale_win2ima'] = cb_elem_w2i.Get()
opt_dict['comment'] = values['-COMMENT-']
opt_dict['png_name'] = values['-PNG_BASE-']
opt_dict['outpath'] = values['-OUT-']
opt_dict['mdist'] = values['-M_DIST-']
opt_dict['colorflag'] = values['-COLOR-'] # from register_images tab
opt_dict['bob'] = values['-BOB-']
(wsx, wsy) = window.Size
opt_dict['win_width'] = wsx
opt_dict['win_height'] = wsy
opt_dict['plot_w'] = plot_w
opt_dict['plot_h'] = plot_h
opt_dict['i_min'] = i_min
opt_dict['i_max'] = i_max
opt_dict['show_images'] = values['-SHOW_IM-']
[zoom, wsx, wsy, wlocx, wlocy, xoff_calc, yoff_calc,
# TODO: check if pngdir is necessary here
xoff_setup, yoff_setup, debug, fit_report, win2ima,
opt_comment, png_name, outpath, mdist, colorflag, bob_doubler,
plot_w, plot_h, i_min, i_max, graph_size, show_images] = list(opt_dict.values())
if ini_file and event != '-APPLY_OPT-':
m_fun.write_configuration(ini_file, par_dict, res_dict, fits_dict, opt_dict)
try:
# finish with meaningful image for next start, if not, use existing image
image_data, idg, actual_file = m_fun.draw_scaled_image(m_fun.m_join(outpath, mdist) + '_peak.fit',
window['-D_IMAGE-'], opt_dict, idg, contr=1, tmp_image=True)
except:
print('save tmp.png error, outpath:', outpath)
finally:
if event == 'Exit':
window.close()
break
# ==============================================================================
# Video Tab
# ==============================================================================
elif event == 'Load_Video':
window['-GOTO_DIST-'].update(disabled=True, button_color=bc_disabled)
avifile = sg.PopupGetFile('', title='Get Video File', no_window=True,
file_types=(('Video Files', '*.avi'), ('ALL Files', '*.*'),),)
if avifile:
window.TKroot.title(window_title + avifile)
filename_display_elem.update(avifile)
png_name = values['-PNG_BASE-']
bob_doubler = values['-BOB-']
par_dict['i_binning'] = int(values['-BIN-'])
bff = values['-BFF-']
# check previous PNG images
oldfiles, deleted, answer = m_fun.delete_old_files(png_name, maxim)
if answer != 'Cancel':
nim, dat_tim, sta, out = m_fun.extract_video_images(avifile, png_name,
bob_doubler, par_dict['i_binning'], bff, int(values['-MAXIM-']))
if nim:
window['-PREVIOUS-'].update(disabled=False)
window['-NEXT-'].update(disabled=False)
window['-GOTO_DIST-'].update(disabled=False, button_color=bc_enabled)
fits_dict['DATE-OBS'] = dat_tim
fits_dict['M_STATIO'] = sta
fits_v = list(fits_dict.values())
for k in range(7):
kk = f'k{k + 7}'
window[kk].Update(fits_v[k])
if nim:
image_data, idg, actual_file = m_fun.draw_scaled_image(out + '1.png', window['-V_IMAGE-'],
opt_dict, idg)
# add avifile to video_list
video_list = m_fun.read_video_list('videolist.txt')
video_name, ext = path.splitext(path.basename(avifile))
# for UFO Capture videos, replace M by S:
if video_name[0] == 'M':
video_name = 'S' + video_name[1:]
for v in video_list:
if v in (video_name, ' '):
video_list.remove(v)
if len(video_list) >= video_list_length:
del video_list[-1:]
video_list.insert(0, video_name)
with open('videolist.txt', 'w') as f:
for v in video_list:
print(v, file=f)
logging.info(f'converted {avifile} {nim} images')
logging.info(f'Station = {sta} Time = {dat_tim}')
result_text = f'Station = {sta}\nTime = {dat_tim}\n'
result_text += opt_comment + f'\nNumber converted images = {str(nim)}\n'
window['-RESULT2-'].update(result_text)
window['-PNG_BASED-'].update(png_name)
window['-BOB_D-'].update(bob_doubler)
if bob_doubler:
i = 50 # jump to 1st image after background
n_back = 40
first = 50
fits_dict['M_BOB'] = 1
else:
i = 25
n_back = 20
first = 25
fits_dict['M_BOB'] = 0
nm = nim - first + 1
window['-N_BACK-'].update(value=str(n_back))
window['-N_START-'].update(value=str(first))
if nm < 1:
nm = 0
window['-N_IMAGE-'].update(value=str(nm))
else:
result_text = 'no video converted'
window['-RESULT-'].update(result_text)
elif event in ('-NEXT-', '-PREVIOUS-'):
if 1 < i < nim:
if event == '-NEXT-':
i += 1
if event == '-PREVIOUS-':
i -= 1
image_data, idg, actual_file = m_fun.draw_scaled_image(out + str(i) + '.png',
window['-V_IMAGE-'], opt_dict, idg)
if event is '-GOTO_DIST-':
image_data, idg, actual_file = m_fun.draw_scaled_image(out + str(i) + '.png',
window['-D_IMAGE-'], opt_dict, idg)
window['-T_DIST-'].select() # works
# ==============================================================================
# Distortion Tab
# ==============================================================================
elif event in '-PNG_BASED-':
# remove fits-header entries from earlier runs, no longer valid in new directory
fits_dict.pop('DATE-OBS', None)
fits_dict.pop('M_STATIO', None)
dat_tim = ''
sta = ''
# get new number of images
inpath = png_name
nm_found = m_fun.check_files(inpath, maxim, ext='.png')
nm = nm_found - first + 1
if debug:
print('inpath, nm, nmfound', inpath, nm, nm_found)
window['-N_IMAGE-'].update(nm)
elif event in ('-SEL_OUT-', '-SEL_OUT_R-'):
outpath = sg.PopupGetFolder('', title='Select Process Folder', no_window=True)
outpath = m_fun.m_join(outpath)
print('outpath', str(outpath))
if outpath == '.':
outpath = values['-OUT-']
window['-OUT-'].update(outpath)
window['-OUT_C-'].update(outpath)
window['-OUT_R-'].update(outpath)
elif event is '-APPLY_DIST-':
window['-GOTO_REG-'].update(disabled=False, button_color=bc_disabled)
png_name = values['-PNG_BASED-']
outpath = values['-OUT-']
mdist = values['-M_DIST-']
infile = m_fun.m_join(outpath, mdist)
dist = values['-DIST-']
background = values['-BACK-']
bob_doubler = values['-BOB_D-']
colorflag = values['-COLOR-']
n_back = int(values['-N_BACK-'])
first = int(values['-N_START-'])
nm = int(values['-N_IMAGE-'])
show_images = values['-SHOW_IM-']
inpath = path.normpath(png_name)
# check number of tmp\*.png <--
nm_found = m_fun.check_files(inpath, maxim, ext='.png')
if nm <= 0 or nm > nm_found - first + 1:
sg.PopupError(
f'not enough meteor images, check data\n nim = {nm_found}, '
f'maximum processed: {str(nm_found - first + 1)}')
nm = nm_found - first + 1
window['-N_IMAGE-'].update(nm)
else:
if not path.exists(outpath):
os.mkdir(outpath)
[scalxy, x00, y00, rot, disp0, a3, a5] = res_dict.values()
fits_dict['M_BOB'] = 0
if bob_doubler: # center measured before scaling in y scalxy*2 compensates for half image height
scalxy *= 2.0
y00 /= 2.0
fits_dict['M_BOB'] = 1
# ---------------------------------------------------------------
# check previous images mdist
distfile = path.normpath(path.join(outpath, mdist)) # 'D:/Daten/Python/out\\mdist'
oldfiles, deleted, answer = m_fun.delete_old_files(distfile, maxim, ext='.fit')
disttext = f' {deleted} files deleted of {oldfiles}\n' \
f'start background image\nwait for background image\n'
# ---------------------------------------------------------------
if answer is not 'Cancel':
# make background image
t0 = time.time() # start timer
back = m_fun.create_background_image(inpath, n_back, colorflag)
# save background image as png and fit
# remove unnecessary fits header items before saving fits-images
fits_dict.pop('M_NIM', None)
fits_dict.pop('M_STARTI', None)
with warnings.catch_warnings():
warnings.simplefilter("ignore")
io.imsave(m_fun.m_join(outpath, 'm_back.png'), np.flipud(back * 255).astype(np.uint8))
if debug:
print("process time background %8.2f sec" % (time.time() - t0))
m_fun.write_fits_image(back, m_fun.m_join(outpath, 'm_back.fit'), fits_dict)
image_data, idg, actual_file = m_fun.draw_scaled_image(m_fun.m_join(outpath, 'm_back.fit'),
window['-D_IMAGE-'], opt_dict, idg, tmp_image=True)
disttext += f'background created of {n_back} images\n'
disttext += f'process time background {time.time() - t0:8.2f} sec\n'
window['-RESULT2-'].update(disttext)
window.refresh()
# apply distortion
if dist: # with distortion, add parameters to fits-header
for key in res_dict.keys():
fkey = 'D_' + key.upper()
fits_dict[fkey] = np.float32(res_dict[key])
if key[0] == 'a':
logging.info(f'{key} = {res_dict[key]:9.3e}')
else:
logging.info(f'{key} = {res_dict[key]:9.3f}')
if debug:
print('wait for processing')
with warnings.catch_warnings():
warnings.simplefilter("ignore")
(nmp, sum_image, peak_image, disttext) = m_fun.apply_dark_distortion(inpath,
m_fun.m_join(outpath, 'm_back.fit'), outpath, mdist, first, nm, window,
fits_dict, graph_size, dist, background, (x00, y00), a3, a5, rot, scalxy,
colorflag, show_images=show_images)
image_data, idg, actual_file = m_fun.draw_scaled_image(infile + '_peak.png',
window['-D_IMAGE-'], opt_dict, idg, tmp_image=True)
t2 = time.time() - t0
if debug:
print(nmp, ' images processed of ', nm)
if dist:
print(f'process time background, dark and dist {t2:8.2f} sec')
else:
print(f'process time background, dark {t2:8.2f} sec')
window['-RESULT2-'].update(result_text + disttext)
window['-GOTO_REG-'].update(disabled=False, button_color=bc_enabled)
last_file_sum = False
else:
disttext = 'no files deleted'
window['-RESULT2-'].update(disttext)
window.refresh()
if event is '-GOTO_REG-':
window['-T_REG-'].select() # works
window['-M_DIST_R-'].update(mdist)
window['-N_MAX_R-'].update(nmp)
m_fun.refresh_image(image_data, window['-R_IMAGE-'], opt_dict, idg)
window['-SHOW_SUM_R-'].update(disabled=True, button_color=bc_disabled)
# ==============================================================================
# Registration Tab
# ==============================================================================
elif event is '-M_DIST_R-':
mdist = values['-M_DIST_R-']
infile = m_fun.m_join(outpath, mdist)
nm_found = m_fun.check_files(infile, maxim, ext='.fit')
window['-N_MAX_R-'].update(nm_found)
result_text = ''
# image browser---------------------------------------------------------
elif event in ('-NEXT_R-', '-PREV_R-'):
mdist = values['-M_DIST_R-']
reg_file = values['-REG_BASE-']
infile = m_fun.m_join(outpath, mdist)
out_fil = m_fun.m_join(outpath, reg_file)
nm_found = m_fun.check_files(infile, maxim, ext='.fit')
nmp = int(values['-N_MAX_R-'])
if nm_found < nmp or nmp <= 0:
nmp = nm_found
window['-N_MAX_R-'].update(nmp)
last_file_sum = False
if i_reg < nmp and event is '-NEXT_R-':
i_reg += 1
if i_reg > 1 and event is '-PREV_R-':
i_reg -= 1
if i_reg > nmp:
i_reg = nmp
if values['-SHOW_REG-']:
nim = m_fun.check_files(out_fil, maxim, ext='.fit')
i_reg = min(nim, i_reg)
if i_reg <= nim and path.exists(out_fil + str(i_reg) + '.fit'):
image_data, idg, actual_file = m_fun.draw_scaled_image(out_fil + str(i_reg) + '.fit',
window['-R_IMAGE-'], opt_dict, idg, contr=contrast)
window['-INDEX_R-'].update(reg_file + str(i_reg))
elif i_reg > 0:
i_reg -= 1
else:
if path.exists(infile + str(i_reg) + '.fit'):
image_data, idg, actual_file = m_fun.draw_scaled_image(infile + str(i_reg) + '.fit',
window['-R_IMAGE-'], opt_dict, idg, contr=contrast)
window['-INDEX_R-'].update(mdist + str(i_reg))
else:
sg.PopupError(f'File {infile + str(i_reg)}.fit not found')
if 'DATE-OBS' in fits_dict.keys():
dat_tim = fits_dict['DATE-OBS']
sta = fits_dict['M_STATIO']
else:
logging.info('no fits-header DATE-OBS, M-STATIO')
result_text = '\n!!!no fits-header DATE-OBS, M-STATIO!!!\n'
result_text += ('Station = ' + sta + '\n'
+ 'Time = ' + dat_tim + '\n'
+ opt_comment + '\n'
+ 'Number Images = ' + str(nim) + '\n')
window['-RESULT3-'].update(result_text)
# image contrast--------------------------------------------------------
elif event in ('-LOW_C-', '-HIGH_C-'):
if event is '-LOW_C-':
contrast = 0.5 * contrast
else:
contrast = 2.0 * contrast
if last_file_sum:
image_data, idg, actual_file = m_fun.draw_scaled_image(outfile + '.fit', window['-R_IMAGE-'],
opt_dict, idg, contr=contrast)
else:
if values['-SHOW_REG-']:
if path.exists(out_fil + str(i_reg) + '.fit'):
image_data, idg, actual_file = m_fun.draw_scaled_image(out_fil + str(i_reg) + '.fit',
window['-R_IMAGE-'], opt_dict, idg, contr=contrast)
else:
image_data, idg, actual_file = m_fun.draw_scaled_image(infile + str(i_reg) + '.fit',
window['-R_IMAGE-'], opt_dict, idg, contr=contrast)
# image selection-------------------------------------------------------
elif event is '-SHOW_SUM_R-':
image_data, idg, actual_file = m_fun.draw_scaled_image(outfile + '.fit', window['-R_IMAGE-'],
opt_dict, idg, contr=contrast)
last_file_sum = True
elif event is '-SEL_START-':
start = i_reg
window['-N_START_R-'].update(start)
elif event is '-SEL_LAST-':
nsel = i_reg
start = int(values['-N_START_R-'])
nim = nsel - start + 1
window['-N_REG-'].update(nim)
if event is '-GOTO_CAL-':
window['-T_CAL-'].select() # works
window['-CALI-'].update(disabled=True, button_color=bc_disabled)
window['-SHOW_REG-'].update(False)
# ==============================================================================
# Registration Tab
# ==============================================================================
elif event is '-REGISTER-':
window['-SHOW_SUM_R-'].update(disabled=True, button_color=bc_disabled)
window['-CAL_R-'].update(disabled=True, button_color=bc_disabled)
mdist = values['-M_DIST_R-']
infile = m_fun.m_join(outpath, mdist)
reg_file = values['-REG_BASE-']
start = int(values['-N_START_R-'])
nim = int(values['-N_REG-'])
nmp = int(values['-N_MAX_R-'])
out_fil = m_fun.m_join(outpath, reg_file)
im, header = m_fun.get_fits_image(infile + str(start))
# 'tmp.png' needed for select_rectangle:
image_data, idg, actual_file = m_fun.draw_scaled_image(infile + str(start) + '.fit', window['-R_IMAGE-'],
opt_dict, idg, contr=contrast, tmp_image=True)
if not sta:
sta = header['M_STATIO']
dat_tim = header['DATE-OBS']
# ===================================================================
# select rectangle for registration
select_event, x0, y0, dx, dy = m_fun.select_rectangle(infile, start, res_dict, fits_dict,
(wlocx, wlocy), out_fil, maxim)
if select_event == 'Ok':
nsel = start + nim - 1 # nsel index of last selected image, nim number of images
if nsel > nmp:
nim = max(nmp - start + 1, 0)
window['-N_REG-'].update(nim)
t0 = time.time()
fits_dict['M_STARTI'] = start
index, sum_image, reg_text, dist, outfile, fits_dict = m_fun.register_images(start, nim, x0,
y0, dx, dy, infile, out_fil, window, fits_dict, contrast, idg, values['-SHOW_REG-'])
t3 = time.time() - t0
nim = index - start + 1
if nim > 1:
logging.info(f'time for register one image : {t3 / nim:6.2f} sec')
result_text += (f'Station = {sta}\nTime = {dat_tim}\n'
+ opt_comment + f'\nStart image = {str(start)}\n'
+ f'Number registered images: {nim}\nof total images: {nmp}\n'
+ f'time for register one image: {t3 / nim:6.2f} sec\n')
image_data, idg, actual_file = m_fun.draw_scaled_image(outfile + '.fit', window['-R_IMAGE-'],
opt_dict, idg, contr=contrast)
window['-SHOW_REG-'].update(True)
window['-RADD-'].update(outfile)
window['-SHOW_SUM_R-'].update(disabled=False, button_color=bc_enabled)
window['-ADD_ROWS-'].update(disabled=False, button_color=bc_enabled)
else:
result_text = (f'Number registered images: {nim}\n'
+ f'of total images: {nmp}\nnot enough images\n')
sg.PopupError(f'register did not work with last image, try again!')
logging.info(f'register did not work with last image, try again!')
window['-RESULT3-'].update(reg_text + result_text)
# =======================================================================
# convert 2-D spectrum to 1-D spectrum
elif event is '-ADD_ROWS-':
if outfile:
image_data, idg, actual_file = m_fun.draw_scaled_image(outfile + '.fit', window['-R_IMAGE-'],
opt_dict, idg, contr=contrast, tmp_image=True)
ev, tilt, slant = m_fun.add_rows_apply_tilt_slant(outfile, par_dict,
res_dict, fits_dict, opt_dict, contrast, (wlocx, wlocy), result_text, reg_text, window)
image_data, idg, actual_file = m_fun.draw_scaled_image(outfile + 'st.fit', window['-R_IMAGE-'],
opt_dict, idg, contr=contrast)
window['-RADD-'].update(outfile)
# =======================================================================
elif event is '-LOAD_R-':
# load existing file for adding rows and apply tilt and slant
result_text = ''
outfile = values['-RADD-']
window['-SAVE_RAW-'].update(disabled=True, button_color=bc_disabled)
window['-CAL_R-'].update(disabled=True, button_color=bc_disabled)
outfile = sg.PopupGetFile('', title='Get Registered File', no_window=True,
file_types=(('Image Files', '*.fit'), ('ALL Files', '*.*'),),
default_path=outfile)
if outfile:
# remove fits header items not present in mdist files, load actual values below
window.TKroot.title(window_title + outfile)
fits_dict['M_NIM'] = '1'
fits_dict['M_STARTI'] = '0'
outfile, ext = path.splitext(outfile)
window['-RADD-'].update(outfile)
last_file_sum = True
im, header = m_fun.get_fits_image(outfile)
image_data, idg, actual_file = m_fun.draw_scaled_image(outfile + '.fit', window['-R_IMAGE-'],
opt_dict, idg, contr=contrast, tmp_image=True)
# direction = 'left' if event == '<' else 'right'
dist = True if 'D_X00' in header.keys() else False
fits_dict = m_fun.get_fits_keys(header, fits_dict, res_dict, keyprint=debug)
window['-RADD-'].update(outfile)
window['-ADD_ROWS-'].update(disabled=False, button_color=bc_enabled)
window['-SHOW_SUM_R-'].update(disabled=False, button_color=bc_enabled)
result_text = ('Load File: ' + outfile + '\n'
+ 'Station = ' + str(fits_dict['M_STATIO']) + '\n'
+ 'Time = ' + str(fits_dict['DATE-OBS']) + '\n'
+ 'comment = ' + str(fits_dict['COMMENT']) + '\n')
try:
result_text += 'Start image = ' + str(fits_dict['M_STARTI']) + '\n'
result_text += f'Number registered images: {str(fits_dict["M_NIM"])}\n'
except KeyError:
pass
window['-RESULT3-'].update(reg_text + result_text)
else:
window['-ADD_ROWS-'].update(disabled=True, button_color=bc_disabled)
elif event is '-SAVE_RAW-':
imtilt, header = m_fun.get_fits_image(outfile + 'st')
lcal, ical = np.loadtxt(outfile + '.dat', unpack=True, ndmin=2)
# default values for fits_dict:
fits_dict['M_TILT'] = 0.0
fits_dict['M_SLANT'] = 0.0
fits_dict['M_ROWMIN'] = 0
fits_dict['M_ROWMAX'] = 0
# update fits_dict
m_fun.get_fits_keys(header, fits_dict, res_dict, keyprint=debug)
new_outfile = sg.PopupGetFile('', title='Save image and raw spectrum as', no_window=True, save_as=True,
file_types=(('Spectrum Files', '*.dat'), ('ALL Files', '*.*')))
if new_outfile:
window.TKroot.title(window_title + new_outfile)
outfile, ext = path.splitext(new_outfile)
window['-RADD-'].update(outfile)
m_fun.write_fits_image(imtilt, outfile + '.fit', fits_dict, dist=dist)
image_data, idg, actual_file = m_fun.draw_scaled_image(outfile + '.fit', window['-R_IMAGE-'],
opt_dict, idg, contr=contrast)
np.savetxt(outfile + '.dat', np.transpose([lcal, ical]), fmt='%6i %8.5f')
result_text += 'File saved as :' + outfile + '.dat (.fit)\n'
window['-RESULT3-'].update(reg_text + result_text)
# =======================================================================
# load uncalibrated raw spectrum
elif event in ('-LOAD_RAW-', '-CAL_R-'):
if event is '-CAL_R-':
# start calibration
raw_spec_file = m_fun.change_extension(values['-RADD-'], '.dat')
window['-T_CAL-'].select() # works
else:
raw_spec_file = sg.PopupGetFile('', title='Load raw spectrum', no_window=True, save_as=False,
file_types=(('Spectrum Files', '*.dat'), ('ALL Files', '*.*'),),
default_path=raw_spec_file)
window.TKroot.title(window_title + raw_spec_file)
window['-S_LINES-'].update(disabled=True, button_color=bc_disabled)
window['-SPEC_R-'].update(raw_spec_file)
if raw_spec_file:
m_fun.create_line_list_combo(line_list, window)
result_text += f'File {raw_spec_file} loaded\n'
graph = window['graph']
# plot raw spectrum
lmin, lmax, i_min, i_max, lcal, ical = m_plot.plot_raw_spectrum(raw_spec_file, graph, canvasx)
window['-S_LINES-'].update(disabled=False, button_color=bc_enabled)
window['-LOAD_TABLE-'].update(disabled=False, button_color=bc_enabled)
llist = m_fun.change_extension(raw_spec_file, '.txt')
graph_enabled = True
if lmin not in (0.0, 1.0):
sg.PopupError('raw files only, load uncalibrated file or Load Spectrum',
title='Wavelength calibration', line_width=60)
# ==============================================================================
# select spectral lines for calibration
elif event is '-S_LINES-':
table = []
select_line_enabled = True
table_edited = False
dragging = False
start_point = end_point = prior_rect = None
cal_text_file = ' Pixel width lambda fit delta\n'
elif event is 'graph' and graph_enabled: # if there's a "Graph" event, then it's a mouse
if select_line_enabled:
x, y = (values['graph'])
if not dragging:
start_point = (x, y)
dragging = True
else:
end_point = (x, y)
if prior_rect:
graph.delete_figure(prior_rect)
if None not in (start_point, end_point):
xmin = min(start_point[0], end_point[0])
xmax = max(start_point[0], end_point[0])
prior_rect = graph.draw_rectangle((xmin, i_min),
(xmax, i_max), line_color='LightGreen')
elif str(event).endswith('+UP') and graph_enabled:
if select_line_enabled:
# The drawing has ended because mouse up
x0 = 0.5 * (start_point[0] + end_point[0])
w = abs(0.5 * (start_point[0] - end_point[0]))
window['-POS-'].update(f'{x0:7.1f}')
window['-LAMBDA-'].update(disabled=False)
start_point, end_point = None, None # enable grabbing a new rect
dragging = False
# ==============================================================================
# select single calibration line
elif event is '-S_LINE-':
# set focus? to lambda if wavelength entered ok
window['-S_LINE-'].update(disabled=True, button_color=bc_disabled)
window['-LAMBDA-'].update(disabled=True)
(l0, name) = values['-LAMBDA-'].split(' ', 1)
lam = float(l0)
if debug:
print(f'x0, lambda, w: {x0:8.2f} {lam} {w:6.2f} {name}')
x0, fwp, cal_text_file = m_fun.select_calibration_line(x0, w, lam, name, lcal, ical,
graph, table, cal_text_file)
result_text += cal_text_file
window['-RESULT4-'].update(result_text, disabled=True)
# ==============================================================================
# select calibration wavelength from list
elif event is '-LAMBDA-':
window['-S_LINE-'].update(disabled=False, button_color=bc_enabled)
# ==============================================================================
# save calibrated spectrum
elif event is '-SAVE_T-':
if table_edited:
# table in result window has been edited, save new values
result_text = values['-RESULT4-']
with open(llist, 'w') as f:
f.write(result_text)
ev = sg.PopupOKCancel(f'table saved as {llist}')
if ev in 'OK':
xcalib, lcalib = np.loadtxt(llist, unpack=True, ndmin=2)
elif table and raw_spec_file:
llist = m_fun.change_extension(raw_spec_file, '.txt')
with open(llist, 'w+') as f:
np.savetxt(f, table, fmt='%8.2f', header=' x lambda')
xcalib, lcalib = np.loadtxt(llist, unpack=True, ndmin=2)
logging.info(f'table saved as {llist}')
window['-CALI-'].update(disabled=False, button_color=bc_enabled)
graph_enabled = False
select_line_enabled = False
else:
sg.PopupError('no table to save, select lines first')
# ==============================================================================
# load table, enable editing table
elif event is '-LOAD_TABLE-':
llist = sg.PopupGetFile('', title='Load calibration table',
no_window=True, save_as=False,
file_types=(('Calibration Files', '*.txt'), ('ALL Files', '*.*'),),