Classify sample for the given set of variants

Classify sample for the given set of variants

Classify a complete file against the current impulse, for all given variants. Depending on the size of your file and whether the sample is resampled, you may get a job ID in the response.

POSThttps://studio.edgeimpulse.com/v1/api/{projectId}/classify/v2/{sampleId}/variants

Path parameters

projectId*integer

Project ID

sampleId*integer

Sample ID

Query parameters

Response

200

OK

Body

application/json

any of

ClassifySampleResponseMultipleVariants (all of)StartJobResponse (all of)

Request

JavaScriptCurl

const response = await fetch('https://studio.edgeimpulse.com/v1/api/{projectId}/classify/v2/{sampleId}/variants', {
    method: 'POST',
    headers: {},
});
const data = await response.json();

Response

{
  "success": false,
  "error": "text",
  "results": [
    {
      "variant": "int8",
      "classifications": [
        {
          "learnBlock": {
            "type": "anomaly",
            "name": "NN Classifier",
            "dsp": [
              27
            ],
            "title": "Classification (Keras)",
            "primaryVersion": false,
            "tunerPrimary": false,
            "mutated": false,
            "enabled": false,
            "db": false,
            "description": "Reduced learning rate and more layers",
            "createdBy": "createImpulse",
            "createdAt": "2024-07-04T17:57:17.300Z"
          },
          "result": [
            {
              "idle": 0.0002,
              "wave": 0.9998,
              "anomaly": -0.42
            }
          ],
          "anomalyResult": [
            {
              "boxes": [
                {
                  "label": "text",
                  "x": 0,
                  "y": 0,
                  "width": 0,
                  "height": 0,
                  "score": 0
                }
              ],
              "scores": [
                [
                  0
                ]
              ],
              "meanScore": 0,
              "maxScore": 0
            }
          ],
          "structuredResult": [
            {
              "boxes": [
                [
                  0
                ]
              ],
              "labels": [
                "text"
              ],
              "scores": [
                0
              ],
              "mAP": 0,
              "f1": 0,
              "precision": 0,
              "recall": 0,
              "debugInfoJson": "{\n    \"y_trues\": [\n        {\"x\": 0.854, \"y\": 0.453125, \"label\": 1},\n        {\"x\": 0.197, \"y\": 0.53125, \"label\": 2}\n    ],\n    \"y_preds\": [\n        {\"x\": 0.916, \"y\": 0.875, \"label\": 1},\n        {\"x\": 0.25, \"y\": 0.541, \"label\": 2}\n    ],\n    \"assignments\": [\n        {\"yp\": 1, \"yt\": 1, \"label\": 2, \"distance\": 0.053}\n    ],\n    \"normalised_min_distance\": 0.2,\n    \"all_pairwise_distances\": [\n        [0, 0, 0.426],\n        [1, 1, 0.053]\n    ],\n    \"unassigned_y_true_idxs\": [0],\n    \"unassigned_y_pred_idxs\": [0]\n}\n"
            }
          ],
          "minimumConfidenceRating": 0,
          "details": [
            {
              "boxes": [
                [
                  0
                ]
              ],
              "labels": [
                0
              ],
              "scores": [
                0
              ],
              "mAP": 0,
              "f1": 0
            }
          ],
          "objectDetectionLastLayer": "mobilenet-ssd",
          "expectedLabels": [
            {
              "label": "text"
            }
          ]
        }
      ]
    }
  ],
  "sample": {
    "sample": {
      "id": 2,
      "filename": "idle01.d8Ae",
      "signatureValidate": true,
      "signatureMethod": "HS256",
      "signatureKey": "text",
      "created": "2024-07-04T17:57:17.300Z",
      "lastModified": "2024-07-04T17:57:17.300Z",
      "category": "training",
      "coldstorageFilename": "text",
      "label": "healthy-machine",
      "intervalMs": 16,
      "frequency": 62.5,
      "originalIntervalMs": 16,
      "originalFrequency": 62.5,
      "deviceName": "text",
      "deviceType": "text",
      "sensors": [
        {
          "name": "accX",
          "units": "text"
        }
      ],
      "totalLengthMs": 0,
      "added": "2024-07-04T17:57:17.300Z",
      "boundingBoxes": [
        {
          "label": "text"
        }
      ],
      "boundingBoxesType": "object_detection",
      "chartType": "chart",
      "thumbnailVideo": "text",
      "thumbnailVideoFull": "text",
      "isDisabled": false,
      "isProcessing": false,
      "processingError": false,
      "processingErrorString": "text",
      "isCropped": false,
      "projectOwnerName": "text",
      "projectName": "text",
      "projectLabelingMethod": "single_label",
      "sha256Hash": "text",
      "structuredLabels": [
        {
          "label": "text"
        }
      ],
      "structuredLabelsList": [
        "text"
      ]
    },
    "payload": {
      "device_name": "ac:87:a3:0a:2d:1b",
      "device_type": "DISCO-L475VG-IOT01A",
      "sensors": [
        {
          "name": "accX",
          "units": "text"
        }
      ],
      "values": [
        [
          0
        ]
      ],
      "cropEnd": 128
    }
  },
  "windowSizeMs": 2996,
  "windowIncreaseMs": 10,
  "alreadyInDatabase": false
}