text-image-super-resolution-0001

Use Case and High-Level Description

A tiny model to upscale scanned images with text. The model used the ConvTranspose2d layer instead of the PixelShuffle layer. As a result, the model can be launched on GPU and MYRIAD devices and support the reshape function.

Example

Low Resolution

Bicubic Interpolation

Super Resolution

Specification

Metric Value
PSNR 21.64 dB
GFlops 1.379
MParams 0.003
Source framework PyTorch*

Inputs

Image, name: 0, shape: 1, 1, 360, 640 in the format B, C, H, W, where:

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

Outputs

One blob with shapes 1, 1, 1080, 1920. The blob contains an image after super resolution.

Legal Information

[*] Other names and brands may be claimed as the property of others.