import MatroidPublicApi from 'matroid_public_api';
let defaultClient = MatroidPublicApi.ApiClient.instance;
// Configure Bearer (JWT) access token for authorization: bearerAuth
let bearerAuth = defaultClient.authentications['bearerAuth'];
bearerAuth.accessToken = "YOUR ACCESS TOKEN"

let apiInstance = new MatroidPublicApi.DetectorsApi();
let detectorId = "detectorId_example"; // String | Unique ID of the detector to be deleted
apiInstance.apiV1DetectorsDetectorIdDelete(detectorId, (error, data, response) => {
  if (error) {
    console.error(error);
  } else {
    console.log('API called successfully. Returned data: ' + data);
  }
});

import MatroidPublicApi from 'matroid_public_api';
let defaultClient = MatroidPublicApi.ApiClient.instance;
// Configure Bearer (JWT) access token for authorization: bearerAuth
let bearerAuth = defaultClient.authentications['bearerAuth'];
bearerAuth.accessToken = "YOUR ACCESS TOKEN"

let apiInstance = new MatroidPublicApi.DetectorsApi();
let detectorId = "detectorId_example"; // String | Unique ID of the detector feedback was added to
let feedbackId = "feedbackId_example"; // String | Unique ID of the feedback you're deleting
apiInstance.apiV1DetectorsDetectorIdFeedbackFeedbackIdDelete(detectorId, feedbackId, (error, data, response) => {
  if (error) {
    console.error(error);
  } else {
    console.log('API called successfully. Returned data: ' + data);
  }
});

import MatroidPublicApi from 'matroid_public_api';
let defaultClient = MatroidPublicApi.ApiClient.instance;
// Configure Bearer (JWT) access token for authorization: bearerAuth
let bearerAuth = defaultClient.authentications['bearerAuth'];
bearerAuth.accessToken = "YOUR ACCESS TOKEN"

let apiInstance = new MatroidPublicApi.DetectorsApi();
let detectorId = "detectorId_example"; // String | Unique ID of the detector to get feedback for
let opts = {
  'counts': false // Boolean | Whether to return raw feedback or just counts by label. Defaults to raw feedback.
};
apiInstance.apiV1DetectorsDetectorIdFeedbackGet(detectorId, opts, (error, data, response) => {
  if (error) {
    console.error(error);
  } else {
    console.log('API called successfully. Returned data: ' + data);
  }
});

import MatroidPublicApi from 'matroid_public_api';
let defaultClient = MatroidPublicApi.ApiClient.instance;
// Configure Bearer (JWT) access token for authorization: bearerAuth
let bearerAuth = defaultClient.authentications['bearerAuth'];
bearerAuth.accessToken = "YOUR ACCESS TOKEN"

let apiInstance = new MatroidPublicApi.DetectorsApi();
let detectorId = "detectorId_example"; // String | Unique ID of the detector to give feedback to
let labelName = "labelName_example"; // String | Which label to add image feedback to
let opts = {
  'file': "/path/to/file", // File | Local file to add as feedback
  'url': "url_example", // String | URL of the image to add as feedback
  'source': "source_example" // String | Additional metadata to track the source of submitted feedback
};
apiInstance.apiV1DetectorsDetectorIdFeedbackImagePost(detectorId, labelName, opts, (error, data, response) => {
  if (error) {
    console.error(error);
  } else {
    console.log('API called successfully. Returned data: ' + data);
  }
});

import MatroidPublicApi from 'matroid_public_api';
let defaultClient = MatroidPublicApi.ApiClient.instance;
// Configure Bearer (JWT) access token for authorization: bearerAuth
let bearerAuth = defaultClient.authentications['bearerAuth'];
bearerAuth.accessToken = "YOUR ACCESS TOKEN"

let apiInstance = new MatroidPublicApi.DetectorsApi();
let detectorId = "detectorId_example"; // String | Unique ID of the detector to give feedback to
let feedback = [new MatroidPublicApi.ApiV1DetectorsDetectorIdFeedbackPostRequestFeedbackInner()]; // [ApiV1DetectorsDetectorIdFeedbackPostRequestFeedbackInner] | Array of feedback information
let opts = {
  'url': "url_example", // String | URL of the image to add feedback for
  'file': "/path/to/file" // File | Local file to add feedback for
};
apiInstance.apiV1DetectorsDetectorIdFeedbackPost(detectorId, feedback, opts, (error, data, response) => {
  if (error) {
    console.error(error);
  } else {
    console.log('API called successfully. Returned data: ' + data);
  }
});

import MatroidPublicApi from 'matroid_public_api';
let defaultClient = MatroidPublicApi.ApiClient.instance;
// Configure Bearer (JWT) access token for authorization: bearerAuth
let bearerAuth = defaultClient.authentications['bearerAuth'];
bearerAuth.accessToken = "YOUR ACCESS TOKEN"

let apiInstance = new MatroidPublicApi.DetectorsApi();
let detectorId = "detectorId_example"; // String | Unique ID of the detector to train
apiInstance.apiV1DetectorsDetectorIdFinalizePost(detectorId, (error, data, response) => {
  if (error) {
    console.error(error);
  } else {
    console.log('API called successfully. Returned data: ' + data);
  }
});

import MatroidPublicApi from 'matroid_public_api';
let defaultClient = MatroidPublicApi.ApiClient.instance;
// Configure Bearer (JWT) access token for authorization: bearerAuth
let bearerAuth = defaultClient.authentications['bearerAuth'];
bearerAuth.accessToken = "YOUR ACCESS TOKEN"

let apiInstance = new MatroidPublicApi.DetectorsApi();
let detectorId = "detectorId_example"; // String | Unique ID of the detector
apiInstance.apiV1DetectorsDetectorIdGet(detectorId, (error, data, response) => {
  if (error) {
    console.error(error);
  } else {
    console.log('API called successfully. Returned data: ' + data);
  }
});

import MatroidPublicApi from 'matroid_public_api';
let defaultClient = MatroidPublicApi.ApiClient.instance;
// Configure Bearer (JWT) access token for authorization: bearerAuth
let bearerAuth = defaultClient.authentications['bearerAuth'];
bearerAuth.accessToken = "YOUR ACCESS TOKEN"

let apiInstance = new MatroidPublicApi.DetectorsApi();
let detectorId = "detectorId_example"; // String | The ID of the detector to migrate back to the legacy studio
apiInstance.apiV1DetectorsDetectorIdMigrateDownPut(detectorId, (error, data, response) => {
  if (error) {
    console.error(error);
  } else {
    console.log('API called successfully. Returned data: ' + data);
  }
});

import MatroidPublicApi from 'matroid_public_api';
let defaultClient = MatroidPublicApi.ApiClient.instance;
// Configure Bearer (JWT) access token for authorization: bearerAuth
let bearerAuth = defaultClient.authentications['bearerAuth'];
bearerAuth.accessToken = "YOUR ACCESS TOKEN"

let apiInstance = new MatroidPublicApi.DetectorsApi();
let detectorId = "detectorId_example"; // String | Unique ID of the detector to migrate
apiInstance.apiV1DetectorsDetectorIdMigratePut(detectorId, (error, data, response) => {
  if (error) {
    console.error(error);
  } else {
    console.log('API called successfully. Returned data: ' + data);
  }
});

import MatroidPublicApi from 'matroid_public_api';
let defaultClient = MatroidPublicApi.ApiClient.instance;
// Configure Bearer (JWT) access token for authorization: bearerAuth
let bearerAuth = defaultClient.authentications['bearerAuth'];
bearerAuth.accessToken = "YOUR ACCESS TOKEN"

let apiInstance = new MatroidPublicApi.DetectorsApi();
let detectorId = "detectorId_example"; // String | Unique ID of the detector to redo
let opts = {
  'feedbackOnly': true // Boolean | Whether to retrain the detector only on images from feedback
};
apiInstance.apiV1DetectorsDetectorIdRedoPost(detectorId, opts, (error, data, response) => {
  if (error) {
    console.error(error);
  } else {
    console.log('API called successfully. Returned data: ' + data);
  }
});

import MatroidPublicApi from 'matroid_public_api';
let defaultClient = MatroidPublicApi.ApiClient.instance;
// Configure Bearer (JWT) access token for authorization: bearerAuth
let bearerAuth = defaultClient.authentications['bearerAuth'];
bearerAuth.accessToken = "YOUR ACCESS TOKEN"

let apiInstance = new MatroidPublicApi.DetectorsApi();
apiInstance.apiV1DetectorsGet((error, data, response) => {
  if (error) {
    console.error(error);
  } else {
    console.log('API called successfully. Returned data: ' + data);
  }
});

import MatroidPublicApi from 'matroid_public_api';
let defaultClient = MatroidPublicApi.ApiClient.instance;
// Configure Bearer (JWT) access token for authorization: bearerAuth
let bearerAuth = defaultClient.authentications['bearerAuth'];
bearerAuth.accessToken = "YOUR ACCESS TOKEN"

let apiInstance = new MatroidPublicApi.DetectorsApi();
let opts = {
  'id': "id_example", // String | Matches the detector with this ID. If this field is specified, only a single detector should be returned
  'name': "name_example", // String | Matches detectors with names that contain a word that begins with the specified value for this field
  'label': "label_example", // String | Matches detectors with at least one label that contains a word that begins with the specified value for this field
  'published': false, // Boolean | If set to `false`, only searches user-owned detectors. If set to `true`, only searches published detectors
  'detectorType': "detectorType_example", // String | Type of detector to search for
  'state': "'trained'", // String | State of the detector
  'categoryId': "categoryId_example", // String | Category ID to filter by (e.g., 'People', 'Technology', 'Industrial IoT')
  'limit': 100, // Number | Maximum number of query results returned
  'offset': 0, // Number | Number of query results skipped
  'includeImageClasses': false // Boolean | Whether to include image classes in the response
};
apiInstance.apiV1DetectorsSearchGet(opts, (error, data, response) => {
  if (error) {
    console.error(error);
  } else {
    console.log('API called successfully. Returned data: ' + data);
  }
});

import MatroidPublicApi from 'matroid_public_api';
let defaultClient = MatroidPublicApi.ApiClient.instance;
// Configure Bearer (JWT) access token for authorization: bearerAuth
let bearerAuth = defaultClient.authentications['bearerAuth'];
bearerAuth.accessToken = "YOUR ACCESS TOKEN"

let apiInstance = new MatroidPublicApi.DetectorsApi();
let name = "name_example"; // String | Name of the detector
let opts = {
  'fileDetector': "/path/to/file", // File | `.matroid` file
  'fileProto': "/path/to/file", // File | Frozen inference graph `.pb` file
  'fileLabel': "/path/to/file", // File | Label `.txt` file, one line per class
  'fileLabelInd': "/path/to/file", // File | Label index `.txt` file, one line per index
  'labels': ["null"], // [String] | List of labels for the detector
  'labelInds': ["null"], // [String] | List of label indices for the detector
  'inputTensor': "inputTensor_example", // String | Input tensor name with size (e.g. `ToFloat[600,600,3]`)
  'outputTensor': "outputTensor_example", // String | Output tensor name(s) with size (e.g. `detection_boxes[100,4],detection_classes[100],detection_scores[100]`)
  'detectorType': "detectorType_example" // String | Type of the detector
};
apiInstance.apiV1DetectorsUploadPost(name, opts, (error, data, response) => {
  if (error) {
    console.error(error);
  } else {
    console.log('API called successfully. Returned data: ' + data);
  }
});

import MatroidPublicApi from 'matroid_public_api';
let defaultClient = MatroidPublicApi.ApiClient.instance;
// Configure Bearer (JWT) access token for authorization: bearerAuth
let bearerAuth = defaultClient.authentications['bearerAuth'];
bearerAuth.accessToken = "YOUR ACCESS TOKEN"

let apiInstance = new MatroidPublicApi.DetectorsApi();
let name = "name_example"; // String | Name of the detector. Required when creating a new detector.
let detectorType = "detectorType_example"; // String | `general`, `facial_recognition`, `facial_characteristics`, `single_shot_detector`, `panoptic`. Required when creating a new detector.
let file = "/path/to/file"; // File | Zip file of images. Supported formats: - Matroid format: `zip/label_name/_*.(jpg|jpeg|png)`, with optional bounding box CSV (`zip/bbox.csv` containing columns `left`, `top`, `right`, `bottom`, `label`, `type`, `file`). - COCO format: `zip/_*.(jpg|jpeg|png)`. 
let opts = {
  'detectorId': "detectorId_example", // String | If provided, updates this pending detector with more images.
  'labelsJSON': "/path/to/file" // File | JSON file in COCO format.
};
apiInstance.createDetector(name, detectorType, file, opts, (error, data, response) => {
  if (error) {
    console.error(error);
  } else {
    console.log('API called successfully. Returned data: ' + data);
  }
});