def test_lfp(self):
# set config for unit test purposes
cfg = PlenopticamConfig()
cfg.params[cfg.opt_dbug] = True
for fn_lfp, fn_wht in zip(self.fnames_lfp, self.fnames_wht):
# update file paths and calibration data in config
cfg.params[cfg.lfp_path] = os.path.join(self.fp, fn_lfp)
cfg.params[cfg.cal_path] = os.path.join(self.fp, fn_wht)
cfg.params[cfg.cal_meta] = os.path.splitext(
cfg.params[cfg.cal_path])[0] + '.json'
cfg.load_cal_data()
# create folder (if it doesn't already exist)
misc.mkdir_p(os.path.splitext(cfg.params[cfg.lfp_path])[0])
# test light field alignment
lfp_img = misc.load_img_file(cfg.params[cfg.lfp_path])
lfp_obj = LfpAligner(lfp_img=lfp_img, cfg=cfg, sta=None)
ret_val = lfp_obj.main()
lfp_img = lfp_obj.lfp_img
del lfp_obj
# assertion
self.assertEqual(True, ret_val)
# test light field extraction
lfp_obj = LfpExtractor(lfp_img_align=lfp_img, cfg=cfg, sta=None)
ret_val = lfp_obj.main()
del lfp_obj
# assertion
self.assertEqual(True, ret_val)
def test_lfp(self):
# set config for unit test purposes
sta = PlenopticamStatus()
cfg = PlenopticamConfig()
cfg.reset_values()
cfg.params[cfg.opt_dbug] = False
cfg.params[
cfg.
opt_prnt] = False # prevent Travis CI to terminate after reaching 4MB logfile size
for fn_lfp, fn_wht in zip(self.fnames_lfp, self.fnames_wht):
# generate console output to prevent abort in Travis CI
print(fn_lfp)
# update file paths and calibration data in config
cfg.params[cfg.lfp_path] = os.path.join(self.fp, fn_lfp)
cfg.params[cfg.cal_path] = os.path.join(self.fp, fn_wht)
cfg.params[cfg.cal_meta] = os.path.splitext(
cfg.params[cfg.cal_path])[0] + '.json'
cfg.load_cal_data()
# create folder (if it doesn't already exist)
mkdir_p(os.path.splitext(cfg.params[cfg.lfp_path])[0])
# test light field alignment
lfp_img = load_img_file(cfg.params[cfg.lfp_path])
lfp_obj = LfpAligner(lfp_img=lfp_img, cfg=cfg, sta=sta)
ret_val = lfp_obj.main()
lfp_img = lfp_obj.lfp_img
del lfp_obj
# assertion
self.assertEqual(True, ret_val)
# test light field extraction
lfp_obj = LfpExtractor(lfp_img_align=lfp_img, cfg=cfg, sta=sta)
lfp_obj.main()
vp_img_arr = lfp_obj.vp_img_arr
del lfp_obj
lfp_obj = LfpRefocuser(vp_img_arr=vp_img_arr, cfg=cfg, sta=sta)
lfp_obj.main()
del lfp_obj
# assertion
self.assertEqual(True, ret_val)
class PlenoptiCamTesterCustom(PlenoptiCamTester):
def __init__(self, *args, **kwargs):
super(PlenoptiCamTesterCustom, self).__init__(*args, **kwargs)
def setUp(self):
# retrieve OpEx data from Hahne et al.
url = 'https://ndownloader.figshare.com/files/5201452'
archive_fn = os.path.join(self.fp, os.path.basename(url))
self.download_data(url) if not os.path.exists(archive_fn) else None
self.fnames_wht_opex = [
'f197with4m11pxf16Final.bmp', 'f197Inf9pxFinalShift12.7cmf22.bmp'
]
self.fnames_lfp_opex = [
'f197with4m11pxFinal.bmp', 'f197Inf9pxFinalShift12.7cm.bmp'
]
self.extract_archive(os.path.join(self.fp, os.path.basename(url)),
self.fnames_wht_opex + self.fnames_lfp_opex)
# set config for unit test purposes
self.sta = PlenopticamStatus()
self.cfg = PlenopticamConfig()
self.cfg.reset_values()
self.cfg.params[self.cfg.opt_dbug] = False
self.cfg.params[
self.cfg.
opt_prnt] = False # prevent Travis CI to terminate after reaching 4MB logfile size
self.cfg.params[self.cfg.opt_vign] = False
self.cfg.params[self.cfg.opt_sat_] = True
def test_custom_cal(self):
for fn_lfp, fn_wht in zip(self.fnames_lfp_opex, self.fnames_wht_opex):
# generate console output to prevent abort in Travis CI
print(fn_wht)
# update file paths and calibration data in config
self.cfg.params[self.cfg.lfp_path] = os.path.join(self.fp, fn_lfp)
self.cfg.params[self.cfg.cal_path] = os.path.join(self.fp, fn_wht)
# create folder (if it doesn't already exist)
mkdir_p(os.path.splitext(self.cfg.params[self.cfg.lfp_path])[0])
# test light field calibration
wht_img = load_img_file(self.cfg.params[self.cfg.cal_path])
cal_obj = LfpCalibrator(wht_img=wht_img,
cfg=self.cfg,
sta=self.sta)
ret_val = cal_obj.main()
del cal_obj
# assertion
self.assertEqual(True, ret_val)
def test_custom_lfp(self):
for fn_lfp, fn_wht in zip(self.fnames_lfp_opex, self.fnames_wht_opex):
# generate console output to prevent abort in Travis CI
print(fn_lfp)
# update file paths and calibration data in config
self.cfg.params[self.cfg.lfp_path] = os.path.join(self.fp, fn_lfp)
self.cfg.params[self.cfg.cal_path] = os.path.join(self.fp, fn_wht)
self.cfg.params[self.cfg.cal_meta] = os.path.splitext(
self.cfg.params[self.cfg.cal_path])[0] + '.json'
self.cfg.load_cal_data()
# create folder (if it doesn't already exist)
mkdir_p(os.path.splitext(self.cfg.params[self.cfg.lfp_path])[0])
# test light field alignment
lfp_img = load_img_file(self.cfg.params[self.cfg.lfp_path])
lfp_obj = LfpAligner(lfp_img=lfp_img, cfg=self.cfg, sta=self.sta)
ret_val = lfp_obj.main()
lfp_img = lfp_obj.lfp_img
del lfp_obj
# assertion
self.assertEqual(True, ret_val)
# test light field extraction
lfp_obj = LfpExtractor(lfp_img_align=lfp_img,
cfg=self.cfg,
sta=self.sta)
ret_val = lfp_obj.main()
vp_img_arr = lfp_obj.vp_img_arr
del lfp_obj
# assertion
self.assertEqual(True, ret_val)
lfp_obj = LfpRefocuser(vp_img_arr=vp_img_arr,
cfg=self.cfg,
sta=self.sta)
ret_val = lfp_obj.main()
del lfp_obj
# assertion
self.assertEqual(True, ret_val)
class PlenoptiCamTesterCustom(PlenoptiCamTester):
CEA_PATH = r'../plenopticam/scripts/metrics/calibration/centroid_error_analysis/'
def __init__(self, *args, **kwargs):
super(PlenoptiCamTesterCustom, self).__init__(*args, **kwargs)
def setUp(self):
# retrieve OpEx data from Hahne et al.
url = 'https://ndownloader.figshare.com/files/5201452'
archive_fn = join(self.fp, basename(url))
self.download_data(url) if not exists(archive_fn) else None
self.fnames_wht_opex = ['f197with4m11pxf16Final.bmp', 'f197Inf9pxFinalShift12.7cmf22.bmp']
self.fnames_lfp_opex = ['f197with4m11pxFinal.bmp', 'f197Inf9pxFinalShift12.7cm.bmp']
self.extract_archive(join(self.fp, basename(url)), self.fnames_wht_opex+self.fnames_lfp_opex)
# set config for unit test purposes
self.sta = PlenopticamStatus()
self.cfg = PlenopticamConfig()
self.cfg.reset_values()
self.cfg.params[self.cfg.opt_dbug] = False
self.cfg.params[self.cfg.opt_prnt] = False # prevent Travis CI to terminate after reaching 4MB logfile size
self.cfg.params[self.cfg.opt_vign] = True
self.cfg.params[self.cfg.opt_sat_] = True
def test_custom_cal(self):
for fn_lfp, fn_wht in zip(self.fnames_lfp_opex, self.fnames_wht_opex):
# generate console output to prevent abort in Travis CI
print(fn_wht)
# update file paths and calibration data in config
self.cfg.params[self.cfg.lfp_path] = join(self.fp, fn_lfp)
self.cfg.params[self.cfg.cal_path] = join(self.fp, fn_wht)
# create folder (if it doesn't already exist)
mkdir_p(splitext(self.cfg.params[self.cfg.lfp_path])[0])
# test light field calibration
wht_img = load_img_file(self.cfg.params[self.cfg.cal_path])
cal_obj = LfpCalibrator(wht_img=wht_img, cfg=self.cfg, sta=self.sta)
ret_val = cal_obj.main()
del cal_obj
# assertion
self.assertEqual(True, ret_val)
def test_custom_lfp(self):
for fn_lfp, fn_wht in zip(self.fnames_lfp_opex, self.fnames_wht_opex):
# generate console output to prevent abort in Travis CI
print(fn_lfp)
# update file paths and calibration data in config
self.cfg.params[self.cfg.lfp_path] = join(self.fp, fn_lfp)
self.cfg.params[self.cfg.cal_path] = join(self.fp, fn_wht)
self.cfg.params[self.cfg.cal_meta] = splitext(self.cfg.params[self.cfg.cal_path])[0]+'.json'
self.cfg.load_cal_data()
# create folder (if it doesn't already exist)
mkdir_p(splitext(self.cfg.params[self.cfg.lfp_path])[0])
# test light field alignment
lfp_img = load_img_file(self.cfg.params[self.cfg.lfp_path])
lfp_obj = LfpAligner(lfp_img=lfp_img, cfg=self.cfg, sta=self.sta)
ret_val = lfp_obj.main()
lfp_img = lfp_obj.lfp_img
del lfp_obj
# assertion
self.assertEqual(True, ret_val)
# test light field extraction
lfp_obj = LfpExtractor(lfp_img_align=lfp_img, cfg=self.cfg, sta=self.sta)
ret_val = lfp_obj.main()
vp_img_arr = lfp_obj.vp_img_arr
del lfp_obj
# assertion
self.assertEqual(True, ret_val)
lfp_obj = LfpRefocuser(vp_img_arr=vp_img_arr, cfg=self.cfg, sta=self.sta)
ret_val = lfp_obj.main()
del lfp_obj
# assertion
self.assertEqual(True, ret_val)
@unittest.skipUnless(condition=exists(join(CEA_PATH, 'a.png')), reason='Test data for PitchEstimator not found')
def test_pitch_estimator(self):
from plenopticam.lfp_calibrator import PitchEstimator
fns = [join(self.CEA_PATH, fn+'.png') for fn in ['a', 'b', 'c', 'd']]
ref_sizes = [141, 50, 10, 6]
for fn, ref_size in zip(fns, ref_sizes):
img = load_img_file(fn)
obj = PitchEstimator(img=img, cfg=self.cfg)
obj.main()
self.assertEqual(ref_size, obj.M)
def test_illum(self):
# instantiate config and status objects
cfg = PlenopticamConfig()
cfg.default_values()
sta = PlenopticamStatus()
# skip concole output message (prevent Travis from terminating due to reaching 4MB logfile size)
cfg.params[cfg.opt_prnt] = False
# use pre-loaded calibration dataset
wht_list = [file for file in os.listdir(self.fp) if file.startswith('caldata')]
lfp_list = [file for file in os.listdir(self.fp) if file.endswith(('lfr', 'lfp'))]
cfg.params[cfg.cal_path] = os.path.join(self.fp, wht_list[0])
for lfp_file in lfp_list:
print('Compute image %s' % os.path.basename(cfg.params[cfg.lfp_path]))
cfg.params[cfg.lfp_path] = os.path.join(self.fp, lfp_file)
# decode light field image
lfp_obj = LfpReader(cfg, sta)
ret_val = lfp_obj.main()
lfp_img = lfp_obj.lfp_img
del lfp_obj
self.assertEqual(True, ret_val)
# create output data folder
mkdir_p(cfg.exp_path, cfg.params[cfg.opt_prnt])
if not cfg.cond_meta_file():
# automatic calibration data selection
obj = CaliFinder(cfg, sta)
ret_val = obj.main()
wht_img = obj.wht_bay
del obj
self.assertEqual(True, ret_val)
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 = LfpCalibrator(wht_img, cfg, sta)
ret_val = cal_obj.main()
cfg = cal_obj.cfg
del cal_obj
self.assertEqual(True, ret_val)
# 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 = LfpAligner(lfp_img, cfg, sta, wht_img)
ret_val = lfp_obj.main()
lfp_obj = lfp_obj.lfp_img
del lfp_obj
self.assertEqual(True, ret_val)
# 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
CaliFinder(cfg).main()
obj = LfpExtractor(lfp_img_align, cfg=cfg, sta=sta)
ret_val = obj.main()
vp_img_arr = obj.vp_img_arr
del obj
self.assertEqual(True, ret_val)
# do refocusing
if cfg.params[cfg.opt_refo]:
obj = LfpRefocuser(vp_img_arr, cfg=cfg, sta=sta)
ret_val = obj.main()
del obj
self.assertEqual(True, ret_val)
return True