def cal(self):
# perform centroid calibration
cal_obj = lfp_calibrator.LfpCalibrator(self.wht_img, self.cfg,
self.sta)
cal_obj.main()
self.cfg = cal_obj.cfg
del cal_obj
def main():
# program info
print("\nPlenoptiCam v%s \n" % __version__)
# create config object
cfg = PlenopticamConfig()
cfg.default_values()
# parse options
cfg = parse_options(sys.argv[1:], cfg)
# instantiate status object
sta = misc.PlenopticamStatus()
sta.bind_to_interrupt(sys.exit) # set interrupt
# force relative paths to be absolute
cfg.params[cfg.lfp_path] = os.path.abspath(cfg.params[cfg.lfp_path])
cfg.params[cfg.cal_path] = os.path.abspath(cfg.params[cfg.cal_path])
# collect light field image file name(s) based on provided path
if os.path.isdir(cfg.params[cfg.lfp_path]):
lfp_filenames = [
f for f in os.listdir(cfg.params[cfg.lfp_path])
if f.lower().endswith(SUPP_FILE_EXT)
]
cfg.params[cfg.lfp_path] = os.path.join(cfg.params[cfg.lfp_path],
'dummy.ext')
elif not os.path.isfile(cfg.params[cfg.lfp_path]):
lfp_filenames = [
misc.select_file(cfg.params[cfg.lfp_path],
'Select plenoptic image')
]
else:
lfp_filenames = [cfg.params[cfg.lfp_path]]
if not cfg.params[cfg.cal_path]:
# manual calibration data selection
sta.status_msg(
'\r Please select white image calibration source manually',
cfg.params[cfg.opt_prnt])
# open selection window (at current lfp file directory) to set calibration folder path
cfg.params[cfg.cal_path] = misc.select_file(
cfg.params[cfg.lfp_path], 'Select calibration image')
# provide number of found images to user
print("\n %s Image(s) found" % len(lfp_filenames))
# cancel if file paths not provided
sta.validate(checklist=lfp_filenames + [cfg.params[cfg.lfp_path]],
msg='Canceled due to missing image file path')
# iterate through light field image(s)
for lfp_filename in sorted(lfp_filenames):
# change path to next filename
cfg.params[cfg.lfp_path] = os.path.join(
os.path.dirname(cfg.params[cfg.lfp_path]), lfp_filename)
print(cfg.params[cfg.lfp_path])
sta.status_msg(msg='Process file ' + lfp_filename,
opt=cfg.params[cfg.opt_prnt])
# remove output folder if option is set
misc.rmdir_p(cfg.exp_path) if cfg.params[cfg.dir_remo] else None
try:
# decode light field image
lfp_obj = lfp_reader.LfpReader(cfg, sta)
lfp_obj.main()
lfp_img = lfp_obj.lfp_img
del lfp_obj
except Exception as e:
misc.PlenopticamError(e)
continue
# create output data folder
misc.mkdir_p(cfg.exp_path, cfg.params[cfg.opt_prnt])
if cfg.cond_auto_find():
# automatic calibration data selection
obj = lfp_calibrator.CaliFinder(cfg, sta)
obj.main()
wht_img = obj.wht_bay
del obj
else:
# load white image calibration file
wht_img = misc.load_img_file(cfg.params[cfg.cal_path])
# save settings configuration
cfg.save_params()
# perform calibration if previously computed calibration data does not exist
meta_cond = not (os.path.exists(cfg.params[cfg.cal_meta])
and cfg.params[cfg.cal_meta].lower().endswith('json'))
if meta_cond or cfg.params[cfg.opt_cali]:
# perform centroid calibration
cal_obj = lfp_calibrator.LfpCalibrator(wht_img, cfg, sta)
cal_obj.main()
cfg = cal_obj.cfg
del cal_obj
# load calibration data
cfg.load_cal_data()
# check if light field alignment has been done before
if cfg.cond_lfp_align():
# align light field
lfp_obj = lfp_aligner.LfpAligner(lfp_img, cfg, sta, wht_img)
lfp_obj.main()
lfp_obj = lfp_obj.lfp_img
del lfp_obj
# load previously computed light field alignment
with open(os.path.join(cfg.exp_path, 'lfp_img_align.pkl'), 'rb') as f:
lfp_img_align = pickle.load(f)
# extract viewpoint data
lfp_calibrator.CaliFinder(cfg).main()
obj = lfp_extractor.LfpExtractor(lfp_img_align, cfg=cfg, sta=sta)
obj.main()
vp_img_arr = obj.vp_img_arr
del obj
# do refocusing
if cfg.params[cfg.opt_refo]:
obj = lfp_refocuser.LfpRefocuser(vp_img_arr, cfg=cfg, sta=sta)
obj.main()
del obj
return True
if cal_opt:
# decode light field image
lfp_obj = lfp_reader.LfpReader(cfg)
lfp_obj.main()
lfp_img = lfp_obj.lfp_img
del lfp_obj
# automatic calibration data selection
obj = lfp_calibrator.CaliFinder(cfg)
obj.main()
wht_img = obj.wht_bay
del obj
if cal_opt:
# perform centroid calibration
cal_obj = lfp_calibrator.LfpCalibrator(wht_img, cfg)
cal_obj.main()
cfg = cal_obj.cfg
del cal_obj
else:
# convert Bayer to RGB representation
if len(wht_img.shape) == 2 and 'bay' in cfg.lfpimg:
# perform color filter array management and obtain rgb image
cfa_obj = CfaProcessor(bay_img=wht_img, cfg=cfg)
cfa_obj.bay2rgb()
wht_img = cfa_obj.rgb_img
del cfa_obj
# ensure white image is monochromatic
#wht_img = misc.rgb2gray(wht_img) if len(wht_img.shape) is 3 else wht_img
def main():
# create config object
cfg = PlenopticamConfig()
cfg.default_values()
cfg.reset_values()
# parse options
cfg = parse_options(sys.argv[1:], cfg)
# instantiate status object
sta = misc.PlenopticamStatus()
sta.bind_to_interrupt(sys.exit) # set interrupt
# select light field image(s) considering provided folder or file
if os.path.isdir(cfg.params[cfg.lfp_path]):
lfp_filenames = [
f for f in os.listdir(cfg.params[cfg.lfp_path])
if f.lower().endswith(SUPP_FILE_EXT)
]
elif not os.path.isfile(cfg.params[cfg.lfp_path]):
lfp_filenames = [
misc.select_file(cfg.params[cfg.lfp_path],
'Select plenoptic image')
]
else:
lfp_filenames = [cfg.params[cfg.lfp_path]]
if not cfg.params[cfg.cal_path]:
# open selection window (at current lfp file directory) to set calibration folder path
cfg.params[cfg.cal_path] = misc.select_file(
cfg.params[cfg.lfp_path], 'Select calibration image')
# cancel if file paths not provided
sta.validate(checklist=lfp_filenames + [cfg.params[cfg.lfp_path]],
msg='Canceled due to missing image file path')
# iterate through light field image(s)
for lfp_filename in lfp_filenames:
# change path to next filename
cfg.params[cfg.lfp_path] = os.path.join(
os.path.dirname(cfg.params[cfg.lfp_path]), lfp_filename)
sta.status_msg(msg=cfg.params[cfg.lfp_path],
opt=cfg.params[cfg.opt_prnt])
try:
# decode light field image
lfp_obj = lfp_reader.LfpReader(cfg, sta, cfg.params[cfg.lfp_path])
lfp_obj.main()
lfp_img = lfp_obj.lfp_img
del lfp_obj
except Exception as e:
misc.PlenopticamError(e)
continue
# create output data folder
misc.mkdir_p(cfg.exp_path, cfg.params[cfg.opt_prnt])
if cfg.cond_auto_find:
# automatic calibration data selection
obj = lfp_calibrator.CaliFinder(cfg, sta)
obj.main()
wht_img = obj.wht_img
del obj
else:
# manual calibration data selection
sta.status_msg(
'\r Please select white image calibration source manually',
cfg.params[cfg.opt_prnt])
# load white image calibration file
wht_img = misc.load_img_file(cfg.params[cfg.cal_path])
# save settings configuration
cfg.save_params()
# perform calibration if previously computed calibration data does not exist
meta_cond = not (os.path.exists(cfg.params[cfg.cal_meta])
and cfg.params[cfg.cal_meta].lower().endswith('json'))
if meta_cond or cfg.params[cfg.opt_cali]:
# perform centroid calibration
cal_obj = lfp_calibrator.LfpCalibrator(wht_img, cfg, sta)
cal_obj.main()
cfg = cal_obj.cfg
del cal_obj
# load calibration data
cfg.load_cal_data()
# check if light field alignment has been done before
if cfg.cond_lfp_align:
# align light field
lfp_obj = lfp_aligner.LfpAligner(lfp_img, cfg, sta, wht_img)
lfp_obj.main()
lfp_obj = lfp_obj.lfp_img
del lfp_obj
# load previously computed light field alignment
with open(os.path.join(cfg.exp_path, 'lfp_img_align.pkl'), 'rb') as f:
lfp_img_align = pickle.load(f)
# export light field data
lfp_calibrator.CaliFinder(cfg).main()
exp_obj = lfp_extractor.LfpExtractor(lfp_img_align, cfg)
exp_obj.main()
del exp_obj
def main():
# parse options
cfg = parse_options(sys.argv[1:])
# instantiate status object
sta = misc.PlenopticamStatus()
sta.bind_to_interrupt(sys.exit) # set interrupt
# set calibration folder path
cfg.params[cfg.cal_path] = "/Users/Admin/Pictures/Lytro_Illum/CalibFolder"
# select light field image
cfg.params[cfg.lfp_path] = misc.select_file(cfg.params[cfg.lfp_path], 'Select plenoptic image')
# decode light field image
lfp_obj = lfp_reader.LfpReader(cfg, sta, cfg.params[cfg.lfp_path])
lfp_obj.main()
lfp_img = lfp_obj.lfp_img
del lfp_obj
# create output data folder
misc.mkdir_p(cfg.params[cfg.lfp_path].split('.')[0], cfg.params[cfg.opt_prnt])
# check if light field alignment has been done before
if not os.path.exists(os.path.join(cfg.params[cfg.lfp_path].split('.')[0], 'lfp_img_align.pkl')):
# manual calibration data selection
sta.status_msg('\r Please select white image calibration source manually', cfg.params[cfg.opt_prnt])
# open selection window (at directory where current lfp file is located)
cfg.params[cfg.cal_path] = misc.select_file(cfg.params[cfg.lfp_path])
if os.path.isdir(cfg.params[cfg.cal_path]) or cfg.params[cfg.cal_path].endswith('.tar'):
# automatic calibration data selection
obj = lfp_calibrator.CaliFinder(cfg, sta)
obj.main()
wht_img = obj.wht_img
del obj
else:
# load white image calibration file
wht_img = misc.load_img_file(cfg.params[cfg.cal_path])
# save settings configuration
cfg.save_params()
# perform calibration if previously computed calibration data does not exist
meta_cond = not (os.path.exists(cfg.params[cfg.cal_meta]) and cfg.params[cfg.cal_meta].endswith('json'))
if meta_cond or cfg.params[cfg.opt_cali]:
# perform centroid calibration
cal_obj = lfp_calibrator.LfpCalibrator(wht_img, cfg, sta)
cal_obj.main()
cfg = cal_obj.cfg
del cal_obj
# load calibration data
cfg.load_cal_data()
# align light field
lfp_obj = lfp_aligner.LfpAligner(lfp_img, cfg, sta, wht_img)
lfp_obj.main()
lfp_obj = lfp_obj.lfp_img
del lfp_obj
# load previously computed light field alignment
lfp_img_align = pickle.load(open(os.path.join(cfg.params[cfg.lfp_path].split('.')[0], 'lfp_img_align.pkl'), 'rb'))
# export light field data
exp_obj = lfp_extractor.LfpExtractor(lfp_img_align, cfg)
exp_obj.main()
del exp_obj
