def requires(self):
for de in self.data_eval:
if "A+" in self.samples or "B+" in self.samples or "C+" in self.samples:
test_samples = []
for s in self.samples:
if "+" in s:
test_samples.append(s)
test_samples = tuple(test_samples)
yield SplitModi(
self.iteration,
self.path,
de,
"groundtruth",
test_samples,
self.data_eval,
)
if "A" in self.samples or "B" in self.samples or "C" in self.samples:
training_samples = []
for s in self.samples:
if not ("+" in s):
training_samples.append(s)
training_samples = tuple(training_samples)
yield PartnerReport(
self.iteration,
self.path,
de,
"groundtruth",
training_samples,
self.data_eval,
)
yield PartnerReport(
self.iteration,
self.path,
de,
"validation",
training_samples,
self.data_eval,
)
yield PartnerReport(
self.iteration,
self.path,
de,
"training",
training_samples,
self.data_eval,
)
def requires(self):
for it in range(self.iteration_step, self.up_to_iteration+self.iteration_step, self.iteration_step):
for dt in self.data_train:
for aug in self.augmentation:
for de in self.data_eval:
for m in self.mode:
#yield CleftReport(it, dt, aug, de, m, self.samples, self.data_eval)
if it>20000:
yield PartnerReport(it, dt, aug, de, m, self.samples, self.data_eval)
def requires(self):
yield PartnerReport(
self.it,
self.data_train,
self.augmentation,
self.data_eval,
self.mode,
self.samples,
(self.data_eval, ),
)
def requires(self):
for de in self.data_eval:
if 'A+' in self.samples or 'B+' in self.samples or 'C+' in self.samples:
test_samples = []
for s in self.samples:
if ('+' in s):
test_samples.append(s)
test_samples = tuple(test_samples)
yield SplitModi(self.iteration, self.path, de, 'groundtruth',
test_samples, self.data_eval)
if 'A' in self.samples or 'B' in self.samples or 'C' in self.samples:
training_samples = []
for s in self.samples:
if not ('+' in s):
training_samples.append(s)
training_samples = tuple(training_samples)
yield PartnerReport(self.iteration, self.path, de,
'groundtruth', training_samples,
self.data_eval)
yield PartnerReport(self.iteration, self.path, de,
'validation', training_samples,
self.data_eval)
yield PartnerReport(self.iteration, self.path, de, 'training',
training_samples, self.data_eval)