def main(self):
self.cfg.load_cal_data()
# micro image crop
lfp_obj = LfpCropper(self._lfp_img_align, cfg=self.cfg, sta=self.sta)
lfp_obj.main()
self._lfp_img_align = lfp_obj.lfp_img_align
del lfp_obj
# viewpoint images
if self.cfg.params[self.cfg.opt_view]:
lfp_obj = LfpRearranger(self._lfp_img_align, cfg=self.cfg, sta=self.sta)
lfp_obj.main()
self._vp_img_arr = lfp_obj.vp_img_arr
del lfp_obj
# refocused image stack
if self.cfg.params[self.cfg.opt_refo]:
lfp_obj = LfpRefocuser(vp_img_arr=self._vp_img_arr, cfg=self.cfg, sta=self.sta)
lfp_obj.main()
self._refo_stack = lfp_obj.refo_stack
del lfp_obj
# scheimpflug focus
if self.cfg.params[self.cfg.opt_pflu] != 'off':
lfp_obj = LfpScheimpflug(refo_stack=self._refo_stack, cfg=self.cfg, sta=self.sta)
lfp_obj.main()
del lfp_obj
# print status
self.sta.status_msg('Export finished', opt=True)
self.sta.progress(100, opt=True)
return True
def main(self):
# load previously calculated calibration and aligned data
self.cfg.load_cal_data()
if self._lfp_img_align is None:
self.load_pickle_file()
self.load_lfp_metadata()
# micro image crop
lfp_obj = LfpCropper(lfp_img_align=self._lfp_img_align, cfg=self.cfg, sta=self.sta)
lfp_obj.main()
self._lfp_img_align = lfp_obj.lfp_img_align
del lfp_obj
# rearrange light-field to sub-aperture images
if self.cfg.params[self.cfg.opt_view]:
lfp_obj = LfpRearranger(self._lfp_img_align, cfg=self.cfg, sta=self.sta)
lfp_obj.main()
self.vp_img_linear = lfp_obj.vp_img_arr
del lfp_obj
# remove outliers if option is set
if self.cfg.params[self.cfg.opt_lier]:
obj = LfpOutliers(vp_img_arr=self.vp_img_linear, cfg=self.cfg, sta=self.sta)
obj.main()
self.vp_img_linear = obj.vp_img_arr
del obj
# color equalization
if self.cfg.params[self.cfg.opt_colo]:
obj = LfpColorEqualizer(vp_img_arr=self.vp_img_linear, cfg=self.cfg, sta=self.sta)
obj.main()
self.vp_img_linear = obj.vp_img_arr
del obj
# copy light-field for refocusing process prior to contrast alignment and export
self.vp_img_arr = self.vp_img_linear.copy() if self.vp_img_linear is not None else None
# color management automation
obj = LfpContrast(vp_img_arr=self.vp_img_arr, cfg=self.cfg, sta=self.sta)
obj.main()
self.vp_img_arr = obj.vp_img_arr
del obj
# reduction of hexagonal sampling artifacts
if self.cfg.params[self.cfg.opt_arti]:
obj = HexCorrector(vp_img_arr=self.vp_img_arr, cfg=self.cfg, sta=self.sta)
obj.main()
self.vp_img_arr = obj.vp_img_arr
del obj
# write viewpoint data to hard drive
if self.cfg.params[self.cfg.opt_view]:
obj = LfpExporter(vp_img_arr=self.vp_img_arr, cfg=self.cfg, sta=self.sta)
obj.write_viewpoint_data()
del obj
return True
def main(self):
self.cfg.load_cal_data()
# micro image crop
lfp_obj = LfpCropper(lfp_img_align=self._lfp_img_align, cfg=self.cfg, sta=self.sta)
lfp_obj.main()
self._lfp_img_align = lfp_obj.lfp_img_align
del lfp_obj
# viewpoint images
if self.cfg.params[self.cfg.opt_view] and not self.sta.interrupt:
lfp_obj = LfpRearranger(self._lfp_img_align, cfg=self.cfg, sta=self.sta)
lfp_obj.main()
self.vp_img_arr = lfp_obj.vp_img_arr
del lfp_obj
# histogram equalization
if self.cfg.params[self.cfg.opt_cont] and not self.sta.interrupt:
obj = HistogramEqualizer(img=self.vp_img_arr)
self.vp_img_arr = obj.lum_eq()
#self.vp_img_arr = obj.awb_eq()
del obj
# remove hot pixels if option is set
if self.cfg.params[self.cfg.opt_hotp] and not self.sta.interrupt:
obj = LfpHotPixels(vp_img_arr=self.vp_img_arr, cfg=self.cfg, sta=self.sta)
obj.main()
self.vp_img_arr = obj.vp_img_arr
del obj
# color equalization
if self.cfg.params[self.cfg.opt_colo] and not self.sta.interrupt:
obj = LfpColorEqualizer(vp_img_arr=self.vp_img_arr, cfg=self.cfg, sta=self.sta)
obj.main()
self.vp_img_arr = obj._vp_img_arr
del obj
if not self.sta.interrupt:
obj = LfpContrast(vp_img_arr=self.vp_img_arr, cfg=self.cfg, sta=self.sta, p_lo=0.005, p_hi=0.999)
# automatic white balance
if self.cfg.params[self.cfg.opt_awb_]:
obj.auto_wht_bal()
else:
obj.channel_bal()
obj.p_lo = 0
obj.p_hi = 1
# automatic saturation
if self.cfg.params[self.cfg.opt_sat_]:
obj.sat_bal()
self.vp_img_arr = obj.vp_img_arr
del obj
# write viewpoint data to hard drive
if self.cfg.params[self.cfg.opt_view] and not self.sta.interrupt:
obj = LfpExporter(vp_img_arr=self.vp_img_arr, cfg=self.cfg, sta=self.sta)
obj.write_viewpoint_data()
del obj
return True
def main(self):
self.cfg.load_cal_data()
# micro image crop
lfp_obj = LfpCropper(lfp_img_align=self._lfp_img_align,
cfg=self.cfg,
sta=self.sta)
lfp_obj.main()
self._lfp_img_align = lfp_obj.lfp_img_align
del lfp_obj
# rearrange light-field to sub-aperture images
if self.cfg.params[self.cfg.opt_view] and not self.sta.interrupt:
lfp_obj = LfpRearranger(self._lfp_img_align,
cfg=self.cfg,
sta=self.sta)
lfp_obj.main()
self.vp_img_arr = lfp_obj.vp_img_arr
del lfp_obj
# remove outliers if option is set
if self.cfg.params[self.cfg.opt_lier] and not self.sta.interrupt:
obj = LfpOutliers(vp_img_arr=self.vp_img_arr,
cfg=self.cfg,
sta=self.sta)
obj.main()
self.vp_img_arr = obj.vp_img_arr
del obj
# color equalization
if self.cfg.params[self.cfg.opt_colo] and not self.sta.interrupt:
obj = LfpColorEqualizer(vp_img_arr=self.vp_img_arr,
cfg=self.cfg,
sta=self.sta)
obj.main()
self.vp_img_arr = obj.vp_img_arr
del obj
# copy light-field for refocusing process prior to contrast alignment and export
vp_img_exp = self.vp_img_arr.copy()
# color management automation
if not self.sta.interrupt:
obj = LfpContrast(vp_img_arr=vp_img_exp,
cfg=self.cfg,
sta=self.sta)
obj.main()
vp_img_exp = obj.vp_img_arr
del obj
# reduction of hexagonal sampling artifacts
if self.cfg.params[self.cfg.opt_arti] and not self.sta.interrupt:
obj = HexCorrector(vp_img_arr=vp_img_exp,
cfg=self.cfg,
sta=self.sta)
obj.main()
vp_img_exp = obj.vp_img_arr
del obj
# write viewpoint data to hard drive
if self.cfg.params[self.cfg.opt_view] and not self.sta.interrupt:
obj = LfpExporter(vp_img_arr=vp_img_exp,
cfg=self.cfg,
sta=self.sta)
obj.write_viewpoint_data()
del obj
return True