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author | Jordan Gong <jordan.gong@protonmail.com> | 2021-03-25 12:23:35 +0800 |
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committer | Jordan Gong <jordan.gong@protonmail.com> | 2021-03-25 12:23:35 +0800 |
commit | f065f227b0bcdac61db9240f7df6ea2b748a89b7 (patch) | |
tree | 9ad619fcf1205b3ab438840f4ded1d1455e39ff3 /models | |
parent | 89d702fb2adb588864be489e3d53ffa2746a52af (diff) | |
parent | 5a063855dbecb8f1a86ad25d9e61a9c8b63312b3 (diff) |
Merge branch 'master' into python3.8
Diffstat (limited to 'models')
-rw-r--r-- | models/model.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/models/model.py b/models/model.py index be2ddcb..b2947a0 100644 --- a/models/model.py +++ b/models/model.py @@ -79,6 +79,7 @@ class Model: self.scheduler: Optional[optim.lr_scheduler.StepLR] = None self.writer: Optional[SummaryWriter] = None self.image_log_on = system_config.get('image_log_on', False) + self.val_size = system_config.get('val_size', 10) self.CASIAB_GALLERY_SELECTOR = { 'selector': {'conditions': ClipConditions({r'nm-0[1-4]'})} @@ -147,13 +148,12 @@ class Model: self.is_train = True # Validation dataset # (the first `val_size` subjects from evaluation set) - val_size = dataset_config.pop('val_size', 10) val_dataset_config = copy.deepcopy(dataset_config) train_size = dataset_config.get('train_size', 74) - val_dataset_config['train_size'] = train_size + val_size + val_dataset_config['train_size'] = train_size + self.val_size val_dataset_config['selector']['classes'] = ClipClasses({ str(c).zfill(3) - for c in range(train_size + 1, train_size + val_size + 1) + for c in range(train_size + 1, train_size + self.val_size + 1) }) val_dataset = self._parse_dataset_config(val_dataset_config) val_dataloader = iter(self._parse_dataloader_config( @@ -569,7 +569,7 @@ class Model: for (iter_, total_iter, (condition, selector)) in zip( iters, self.total_iters, dataset_selectors.items() ): - self.curr_iter = iter_ + self.curr_iter = iter_ - 1 self.total_iter = total_iter self._dataset_sig = self._make_signature( dict(**dataset_config, **selector), |