deep-text-recognition-benchmark
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Normalization about own data
hello, i'm try to train on my Chinese datasets. During the data processing , i have some confusion below.
- Should i Normalize the data into same size to get better result??
- The textflow in datasets combined with vertical and horizontal , should i Rotate them into same direction ?
by the way, i would choose TRBA (TPS-ResNet-BiLSTM-Attn) for train.
i don't have too much base knowledge about deep learning, thank for reply !!