Get pretrained model

PreviousTrained features for sample NextUpload a pretrained model

Last updated 10 months ago

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Get pretrained model

Receive info back about the earlier uploaded pretrained model (via uploadPretrainedModel) input/output tensors. If you want to deploy a pretrained model from the API, see startDeployPretrainedModelJob.

get

/api/{projectId}/pretrained-model

Authorizations

Path parameters

projectIdintegerrequired

Project ID

Query parameters

impulseIdinteger

Impulse ID. If this is unset then the default impulse is used.

Responses

application/json

cURL

JavaScript

Python

HTTP

curl -L \
  --url 'https://studio.edgeimpulse.com/v1/api/{projectId}/pretrained-model' \
  --header 'x-api-key: YOUR_API_KEY'

200

{
  "success": true,
  "error": "text",
  "specificDeviceSelected": true,
  "availableModelTypes": [
    "int8"
  ],
  "model": {
    "fileName": "text",
    "profileJobId": 1,
    "supportsTFLite": true,
    "inputs": [
      {
        "name": "text",
        "quantizationScale": 1,
        "quantizationZeroPoint": 1,
        "dataType": "int8",
        "shape": [
          1
        ]
      }
    ],
    "outputs": [
      {
        "name": "text",
        "quantizationScale": 1,
        "quantizationZeroPoint": 1,
        "dataType": "int8",
        "shape": [
          1
        ]
      }
    ],
    "profileInfo": {
      "float32": {
        "device": "text",
        "tfliteFileSizeBytes": 1,
        "isSupportedOnMcu": true,
        "timePerInferenceMs": 1,
        "mcuSupportError": "text",
        "memory": {
          "tflite": {
            "ram": 1,
            "rom": 1,
            "arenaSize": 1
          },
          "eon": {
            "ram": 1,
            "rom": 1,
            "arenaSize": 1
          },
          "eonRamOptimized": {
            "ram": 1,
            "rom": 1,
            "arenaSize": 1
          }
        }
      },
      "int8": {
        "device": "text",
        "tfliteFileSizeBytes": 1,
        "isSupportedOnMcu": true,
        "timePerInferenceMs": 1,
        "mcuSupportError": "text",
        "memory": {
          "tflite": {
            "ram": 1,
            "rom": 1,
            "arenaSize": 1
          },
          "eon": {
            "ram": 1,
            "rom": 1,
            "arenaSize": 1
          },
          "eonRamOptimized": {
            "ram": 1,
            "rom": 1,
            "arenaSize": 1
          }
        }
      },
      "table": {
        "lowEndMcu": {
          "description": "text",
          "timePerInferenceMs": 1,
          "supported": true,
          "mcuSupportError": "text",
          "memory": {
            "tflite": {
              "ram": 1,
              "rom": 1
            },
            "eon": {
              "ram": 1,
              "rom": 1
            },
            "eonRamOptimized": {
              "ram": 1,
              "rom": 1
            }
          }
        },
        "highEndMcu": {
          "description": "text",
          "timePerInferenceMs": 1,
          "supported": true,
          "mcuSupportError": "text",
          "memory": {
            "tflite": {
              "ram": 1,
              "rom": 1
            },
            "eon": {
              "ram": 1,
              "rom": 1
            },
            "eonRamOptimized": {
              "ram": 1,
              "rom": 1
            }
          }
        },
        "highEndMcuPlusAccelerator": {
          "description": "text",
          "timePerInferenceMs": 1,
          "supported": true,
          "mcuSupportError": "text",
          "memory": {
            "tflite": {
              "ram": 1,
              "rom": 1
            },
            "eon": {
              "ram": 1,
              "rom": 1
            },
            "eonRamOptimized": {
              "ram": 1,
              "rom": 1
            }
          }
        },
        "mpu": {
          "description": "text",
          "timePerInferenceMs": 1,
          "rom": 1,
          "supported": true
        },
        "gpuOrMpuAccelerator": {
          "description": "text",
          "timePerInferenceMs": 1,
          "rom": 1,
          "supported": true
        },
        "variant": "int8"
      }
    }
  },
  "modelInfo": {
    "input": {
      "frequencyHz": 1,
      "windowLengthMs": 1,
      "inputType": "time-series"
    },
    "model": {
      "modelType": "classification",
      "labels": [
        "text"
      ]
    }
  }
}