add sar dict

ppocr/losses/rec_sar_loss.py

@@ -9,11 +9,14 @@ from paddle import nn
 class SARLoss(nn.Layer):
     def __init__(self, **kwargs):
         super(SARLoss, self).__init__()
-        self.loss_func = paddle.nn.loss.CrossEntropyLoss(reduction="mean", ignore_index=96)
+        self.loss_func = paddle.nn.loss.CrossEntropyLoss(
+            reduction="mean", ignore_index=92)
 
     def forward(self, predicts, batch):
-        predict = predicts[:, :-1, :] # ignore last index of outputs to be in same seq_len with targets
-        label = batch[1].astype("int64")[:, 1:] # ignore first index of target in loss calculation
+        predict = predicts[:, :
+                           -1, :]  # ignore last index of outputs to be in same seq_len with targets
+        label = batch[1].astype(
+            "int64")[:, 1:]  # ignore first index of target in loss calculation
         batch_size, num_steps, num_classes = predict.shape[0], predict.shape[
             1], predict.shape[2]
         assert len(label.shape) == len(list(predict.shape)) - 1, \

ppocr/utils/dict90.txt

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