Use Case and High-Level Description

Text detector based on PixelLink architecture with MobileNetV2, depth_multiplier=1.4 as a backbone for indoor/outdoor scenes.



Metric Value
F-measure (Harmonic mean of precision and recall on ICDAR2015) 79.43%
GFlops 23.305
MParams 4.328
Source framework TensorFlow


Name: input, shape: [1x3x768x1280] - An input image in the format [BxCxHxW], where:

  • B - batch size
  • C - number of channels
  • H - image height
  • W - image width

Expected color order: BGR.


  1. name: "model/link\_logits\_/add", shape: [1x16x192x320] - logits related to linkage between pixels and their neighbors.
  2. name: "model/segm\_logits/add", shape: [1x2x192x320] - logits related to text/no-text classification for each pixel.

Refer to PixelLink and demos for details.

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