raoumer/isrrescnet – API reference

raoumer / isrrescnet

Deep Iterative Residual Convolutional Network for Single Image Super-Resolution

Public
233 runs
GitHub
Paper
License

Run raoumer/isrrescnet with an API

Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.

Input schema

The fields you can use to run this model with an API. If you don't give a value for a field its default value will be used.

Field	Type	Default value	Description
image	string		Input image to be upscaled

{
  "type": "object",
  "properties": {
    "image": {
      "type": "string",
      "format": "uri",
      "x-order": 0,
      "description": "Input image to be upscaled"
    }
  }
}

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema

{
  "type": "array",
  "items": {
    "type": "object",
    "properties": {
      "file": {
        "type": "string",
        "format": "uri",
        "x-order": 0
      },
      "text": {
        "type": "string",
        "x-order": 1
      }
    }
  },
  "x-cog-array-type": "iterator"
}