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 device and support the reshape function.

Example#

Low Resolution#

Bicubic Interpolation#

Super Resolution#

Specification#

Metric

Value

PSNR

20.318 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.

Demo usage#

The model can be used in the following demos provided by the Open Model Zoo to show its capabilities: