ToolAssay

Fits a 2D projective transform between two point sets with RANSAC at a caller-ch

Fits a 2D projective transform between two point sets with RANSAC at a caller-chosen reprojection threshold, and returns both the homography and the inlier mask. The mask is what makes this useful beyond a plain fit: bad correspondences are named rather than quietly averaged in, so a caller can re-run detection, drop a frame or raise an alarm. Suitable for document rectification, planar tracking and image stitching where the scene really is flat.

Answeringour last check, 2026-10-25
1 of 1checks answered this week
1226 msmedian answer time
$0.002listed price per call
$0.002price it asked us

Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.

Endpoint

POST https://medien.halowerk.com/v1/oss-opencv-robust-planar-homography

CategoryImage and media
Provider hostmedien.halowerk.com
Networkseip155:8453
Payment schemesexact
Self-reported calls, 30 days0 from 0 payers (the provider's figure, not ours)

Our checks, last 30 days

DayResultHTTPAskedTime
2026-10-25 valid payment request 402$0.002 1226 ms

Example input (from the provider)

{
  "body": {
    "reprojection_threshold": 1,
    "source_points": [
      [
        5,
        10
      ],
      [
        35,
        10
      ],
      [
        70,
        10
      ],
      [
        100,
        10
      ],
      [
        5,
        50
      ],
      [
        35,
        50
      ],
      [
        70,
        50
      ],
      [
        100,
        50
      ],
      [
        5,
        90
      ],
      [
        35,
        90
      ],
      [
        70,
        90
      ],
      [
        100,
        90
      ]
    ],
    "target_points": [
      [
        16.923842707814835,
        4.081632653061225
      ],
      [
        51.986267778322706,
        4.61010299166258
      ],
      [
        91.61041465766635,
        5.207328833172614
      ],
      [
        124.52471482889733,
        5.703422053231939
      ],
      [
        20.74074074074074,
        39.604938271604944
      ],
      [
        55.47445255474452,
        39.61070559610705
      ],
      [
        94.73684210526316,
        39.61722488038278
      ],
      [
        127.35849056603773,
        39.62264150943396
      ],
      [
        24.497795198432144,
        74.57128858402744
      ],
      [
        58.90873973925639,
        74.07049734427812
      ],
      [
        97.81576448243115,
        73.50427350427351
      ],
      [
        180.1498127340824,
        13.033707865168537
      ]
    ]
  },
  "bodyType": "json",
  "method": "POST",
  "type": "http"
}

Promised output schema (from the provider)

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {
    "input": {
      "additionalProperties": false,
      "properties": {
        "body": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "additionalProperties": false,
          "description": "Numeric JSON arrays only. Additionally enforce equal paired dimensions, nondegenerate geometry, maximum 32768 pixels/image, 131072 scalars/array, and 1048576 encoded bytes. No paths or network resources.",
          "properties": {
            "reprojection_threshold": {
              "maximum": 10,
              "minimum": 0.1,
              "type": "number"
            },
            "source_points": {
              "items": {
                "items": {
                  "maximum": 1000000000,
                  "minimum": -1000000000,
                  "type": "number"
                },
                "maxItems": 2,
                "minItems": 2,
                "type": "array"
              },
              "maxItems": 2048,
              "minItems": 4,
              "type": "array"
            },
            "target_points": {
              "items": {
                "items": {
                  "maximum": 1000000000,
                  "minimum": -1000000000,
                  "type": "number"
                },
                "maxItems": 2,
                "minItems": 2,
                "type": "array"
              },
              "maxItems": 2048,
              "minItems": 4,
              "type": "array"
            }
          },
          "required": [
            "source_points",
            "target_points",
            "reprojection_threshold"
          ],
          "type": "object"
        },
        "bodyType": {
          "enum": [
            "json",
            "form-data",
            "text"
          ],
          "type": "string"
        },
        "method": {
          "enum": [
            "POST",
            "PUT",
            "PATCH"
          ],
          "type": "string"
        },
        "type": {
          "const": "http",
          "type": "string"
        }
      },
      "required": [
        "type",
        "method",
        "bodyType",
        "body"
      ],
      "type": "object"
    },
    "output": {
      "properties": {
        "example": {
          "additionalProperties": false,
          "properties": {
            "operation": {
              "const": "robust-planar-homography"
            },
            "result": {
              "additionalProperties": false,
              "properties": {
                "homography": {
                  "items": {
                    "items": {
                      "type": "number"
                    },
                    "maxItems": 3,
                    "minItems": 3,
                    "type": "array"
                  },
                  "maxItems": 3,
                  "minItems": 3,
                  "type": "array"
                },
                "inlier_count": {
                  "maximum": 2048,
                  "minimum": 4,
                  "type": "integer"
                },
                "inlier_mask": {
                  "items": {
                    "type": "boolean"
                  },
                  "maxItems": 2048,
                  "minItems": 4,
                  "type": "array"
                },
                "warnings": {
                  "items": {
                    "maxLength": 1024,
                    "type": "string"
                  },
                  "maxItems": 8,
                  "minItems": 1,
                  "type": "array"
                }
              },
              "required": [
                "homography",
                "inlier_mask",
                "inlier_count",
                "warnings"
              ],
              "type": "object"
            },
            "runtime_ms": {
              "minimum": 0,
              "type": "number"
            },
            "upstream": {
              "additionalProperties": false,
              "properties": {
                "binary_sha256": {
                  "const": "1fd4eb220f9986baa0ea0492cbcbedf85b868e792cbcac5f69e10d067a2f956c"
                },
                "components": {
                  "const": [
                    "findHomography"
                  ]
                },
                "numpy_version": {
                  "const": "2.5.0"
                },
                "package_version": {
                  "const": "4.13.0.92"
                },
                "project": {
                  "const": "OpenCV"
                },
                "version": {
                  "const": "4.13.0"
                }
              },
              "required": [
                "project",
                "version",
                "package_version",
                "binary_sha256",
                "numpy_version",
                "components"
              ],
              "type": "object"
            }
          },
          "required": [
            "operation",
            "result",
            "upstream",
            "runtime_ms"
          ],
          "type": "object"
        },
        "type": {
          "type": "string"
        }
      },
      "required": [
        "type"
      ],
      "type": "object"
    }
  },
  "required": [
    "input"
  ],
  "type": "object"
}

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