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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