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authorGustaf Rydholm <gustaf.rydholm@gmail.com>2021-08-08 19:59:55 +0200
committerGustaf Rydholm <gustaf.rydholm@gmail.com>2021-08-08 19:59:55 +0200
commit240f5e9f20032e82515fa66ce784619527d1041e (patch)
treeb002d28bbfc9abe9b6af090f7db60bea0aeed6e8 /text_recognizer/models/transformer.py
parentd12f70402371dda586d457af2a3df7fb5b3130ad (diff)
Add VQGAN and loss function
Diffstat (limited to 'text_recognizer/models/transformer.py')
-rw-r--r--text_recognizer/models/transformer.py4
1 files changed, 4 insertions, 0 deletions
diff --git a/text_recognizer/models/transformer.py b/text_recognizer/models/transformer.py
index 5fb84a7..75f7523 100644
--- a/text_recognizer/models/transformer.py
+++ b/text_recognizer/models/transformer.py
@@ -60,6 +60,8 @@ class TransformerLitModel(BaseLitModel):
pred = self(data)
self.val_cer(pred, targets)
self.log("val/cer", self.val_cer, on_step=False, on_epoch=True, prog_bar=True)
+ self.test_acc(pred, targets)
+ self.log("val/acc", self.test_acc, on_step=False, on_epoch=True)
def test_step(self, batch: Tuple[Tensor, Tensor], batch_idx: int) -> None:
"""Test step."""
@@ -69,6 +71,8 @@ class TransformerLitModel(BaseLitModel):
pred = self(data)
self.test_cer(pred, targets)
self.log("test/cer", self.test_cer, on_step=False, on_epoch=True, prog_bar=True)
+ self.test_acc(pred, targets)
+ self.log("test/acc", self.test_acc, on_step=False, on_epoch=True)
def predict(self, x: Tensor) -> Tensor:
"""Predicts text in image.