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.
- name: "model/link\_logits\_/add", shape: [1x16x192x320] - logits related to linkage between pixels and their neighbors.
- 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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