{
  "version": "0.2.0",
  "git_url": "https://github.com/qurator-spk/eynollah",
  "tools": {
    "ocrd-eynollah-segment": {
      "executable": "ocrd-eynollah-segment",
      "categories": ["Layout analysis"],
      "description": "Segment page into regions and lines and do reading order detection with eynollah",
      "input_file_grp": ["OCR-D-IMG", "OCR-D-SEG-PAGE", "OCR-D-GT-SEG-PAGE"],
      "output_file_grp": ["OCR-D-SEG-LINE"],
      "steps": ["layout/segmentation/region", "layout/segmentation/line"],
      "parameters": {
        "models": {
          "type": "string",
          "format": "file",
          "content-type": "text/directory",
          "cacheable": true,
          "description": "Path to directory containing models to be used (See https://qurator-data.de/eynollah)",
          "required": true
        },
        "dpi": {
          "type": "number",
          "format": "float",
          "description": "pixel density in dots per inch (overrides any meta-data in the images); ignored if <= 0 (with fall-back 230)",
          "default": 0
        },
        "full_layout": {
          "type": "boolean",
          "default": true,
          "description": "Try to detect all element subtypes, including drop-caps and headings"
        },
	"tables": {
	  "type": "boolean",
	  "default": false,
	  "description": "Try to detect table regions"
	},
        "curved_line": {
          "type": "boolean",
          "default": false,
          "description": "try to return contour of textlines instead of just rectangle bounding box. Needs more processing time"
        },
        "allow_scaling": {
          "type": "boolean",
          "default": false,
          "description": "check the resolution against the number of detected columns and if needed, scale the image up or down during layout detection (heuristic to improve quality and performance)"
        },
        "headers_off": {
          "type": "boolean",
          "default": false,
          "description": "ignore the special role of headings during reading order detection"
        }
      },
      "resources": [
	{
	  "description": "models for eynollah (TensorFlow format)",
	  "url": "https://qurator-data.de/eynollah/2021-04-25/SavedModel.tar.gz",
	  "name": "default",
	  "size": 1483106598,
	  "type": "archive",
	  "path_in_archive": "default"
	}
      ]
    }
  }
}