replicate-internal/pipelines-skater-trainer

Public

8 runs

Run replicate-internal/pipelines-skater-trainer 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
video	string		Video clip of skateboard trick attempt
trick_name	string	ollie	Name of the skateboard trick being attempted
max_frames	integer	20 Min: 5 Max: 30	Maximum number of frames to analyze
fps	integer	3 Min: 1 Max: 30	Frames per second
detailed_analysis	boolean	True	Include detailed frame-by-frame analysis
debug	boolean	False	Enable debug output in frame analysis

{
  "type": "object",
  "title": "Input",
  "required": [
    "video"
  ],
  "properties": {
    "fps": {
      "type": "integer",
      "title": "Fps",
      "default": 3,
      "maximum": 30,
      "minimum": 1,
      "x-order": 3,
      "description": "Frames per second"
    },
    "debug": {
      "type": "boolean",
      "title": "Debug",
      "default": false,
      "x-order": 5,
      "description": "Enable debug output in frame analysis"
    },
    "video": {
      "type": "string",
      "title": "Video",
      "format": "uri",
      "x-order": 0,
      "description": "Video clip of skateboard trick attempt"
    },
    "max_frames": {
      "type": "integer",
      "title": "Max Frames",
      "default": 20,
      "maximum": 30,
      "minimum": 5,
      "x-order": 2,
      "description": "Maximum number of frames to analyze"
    },
    "trick_name": {
      "type": "string",
      "title": "Trick Name",
      "default": "ollie",
      "x-order": 1,
      "description": "Name of the skateboard trick being attempted"
    },
    "detailed_analysis": {
      "type": "boolean",
      "title": "Detailed Analysis",
      "default": true,
      "x-order": 4,
      "description": "Include detailed frame-by-frame analysis"
    }
  }
}

Output schema

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

Schema

{
  "type": "object",
  "title": "Output",
  "required": [
    "trick_name",
    "overall_assessment",
    "key_strengths",
    "areas_for_improvement",
    "frame_analyses",
    "recommended_practice",
    "difficulty_rating",
    "biomechanical_insights",
    "progression_timeline"
  ],
  "properties": {
    "trick_name": {
      "type": "string",
      "title": "Trick Name"
    },
    "key_strengths": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "title": "Key Strengths"
    },
    "frame_analyses": {
      "type": "array",
      "items": {
        "type": "object",
        "title": "FrameAnalysis",
        "required": [
          "timestamp",
          "phase",
          "technical_assessment",
          "coaching_tips",
          "execution_score",
          "landing_success",
          "landing_assessment"
        ],
        "properties": {
          "phase": {
            "type": "string",
            "title": "Phase"
          },
          "timestamp": {
            "type": "number",
            "title": "Timestamp"
          },
          "coaching_tips": {
            "type": "string",
            "title": "Coaching Tips"
          },
          "execution_score": {
            "type": "number",
            "title": "Execution Score"
          },
          "landing_success": {
            "type": "boolean",
            "title": "Landing Success"
          },
          "landing_assessment": {
            "type": "string",
            "title": "Landing Assessment"
          },
          "technical_assessment": {
            "type": "string",
            "title": "Technical Assessment"
          }
        },
        "description": "Analysis of a single frame using vision analysis"
      },
      "title": "Frame Analyses"
    },
    "difficulty_rating": {
      "type": "string",
      "title": "Difficulty Rating"
    },
    "overall_assessment": {
      "type": "string",
      "title": "Overall Assessment"
    },
    "progression_timeline": {
      "type": "string",
      "title": "Progression Timeline"
    },
    "recommended_practice": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "title": "Recommended Practice"
    },
    "areas_for_improvement": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "title": "Areas For Improvement"
    },
    "biomechanical_insights": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "title": "Biomechanical Insights"
    }
  },
  "description": "Complete multi-model coaching analysis"
}