coreml/monocr.mlpackage.json

{
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  "img_height": 160,
  "img_width": 1024,
  "model_version": "3.5",
  "format": "mlpackage",
  "architecture": "MobileNetV3-Large + SE + 2xBiLSTM(512) + BottleneckAttention + CTC",
  "num_classes": 277,
  "rnn_hidden_size": 512,
  "rnn_layers": 2,
  "backbone": "mobilenetv3_large",
  "input_normalization": "pixel / 127.5 - 1.0",
  "input_dtype": "float32",
  "input_channels": 1,
  "input_colorspace": "grayscale"
}