text-detection-0004#
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.
Example#
Specification#
Metric |
Value |
---|---|
F-measure (Harmonic mean of precision and recall on ICDAR2015) |
79.43% |
GFlops |
23.305 |
MParams |
4.328 |
Source framework |
TensorFlow* |
Inputs#
Image, name: Placeholder
, shape: 1, 768, 1280, 3
in the format B, H, W, C
, where:
B
- batch sizeH
- image heightW
- image widthC
- number of channels
Expected color order: BGR
.
Outputs#
name:
model/link_logits_/add
, shape:1, 192, 320, 16
- logits related to linkage between pixels and their neighbors.name:
model/segm_logits/add
, shape:1, 192, 320, 2
- logits related to text/no-text classification for each pixel.
Refer to PixelLink and demos for details.
Demo usage#
The model can be used in the following demos provided by the Open Model Zoo to show its capabilities:
Legal Information#
[*] Other names and brands may be claimed as the property of others.