text-detection-0003.md

text-detection-0003

Use Case and High-Level Description

Text detector based on PixelLink architecture with MobileNetV2-like as a backbone for indoor/outdoor scenes.

Example

Specification

Metric	Value
F-measure (Harmonic mean of precision and recall on ICDAR2015)	82.12%
GFlops	51.256
MParams	6.747
Source framework	TensorFlow

Performance

Inputs

1. 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.

Outputs

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.

Legal Information

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