This is a network for text recognition scenario. It consists of ResNext50-like backbone (stage-1-2) and bidirectional LSTM encoder-decoder. The network is able to recognize case-insensitive alphanumeric text (36 unique symbols).
|Accuracy on the alphanumeric subset of ICDAR13||0.8828|
|Text location requirements||Tight aligned crop|
Input tensor is
1, 1, 32, 120 - An input image in the format
B, C, H, W, where:
Note that the source image should be tight aligned crop with detected text converted to grayscale.
The net outputs 2 blobs
logitswith the shape
30, 1, 37in the format
W, B, L, where:
The network output can be decoded by CTC Greedy Decoder or CTC Beam Search decoder.
Model is supported by text-detection c++ demo. In order to use this model in the demo, user should pass the following options:
For more information, please, see documentation of the demo.
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