Implementing Custom Vision #28
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For #26. Thanks for the contribution! I'll have a look at it later, I can try it too. |
miparnisari
requested changes
Nov 6, 2017
| -A series of images to train your classifier (minimum of 30 images per tag). | ||
| -A few images to test your classifier after the classifier is trained. | ||
| * @augments commonService | ||
| * {@link https://westus.dev.cognitive.microsoft.com/docs/services/56f91f2d778daf23d8ec6739/operations/56f91f2e778daf14a499e1fa|documentation} |
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| * {@link https://westus.dev.cognitive.microsoft.com/docs/services/56f91f2d778daf23d8ec6739/operations/56f91f2e778daf14a499e1fa|documentation} | ||
| */ | ||
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| class customvision extends commonService { |
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Please camelCase, i.e. customVisionPrediction. Also add this to index.js
| */ | ||
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| constructor({ apiKey, endpoint }) { | ||
| super({ apiKey, endpoint }); |
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Add config value in config.js
| ] | ||
| } | ||
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| predictImage({parameters, headers, body}){ |
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Documentation? Also, headers is not necessary (see comments below)
| "required": true, | ||
| "type": "queryStringParam", | ||
| "typeName" : "string", | ||
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| "description": "Format - uuid. The project to evaluate against", | ||
| "value": null, | ||
| "required": true, | ||
| "type": "queryStringParam", |
| CreateProject({parameters, headers, body}){ | ||
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| const operation = { | ||
| "path": "customvision/v1.0/Training/projects/{projectId}/tags?name={name}", |
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No need for ?name={name}
| "path": "customvision/v1.0/Training/projects/{projectId}/tags?name={name}", | ||
| "method": "POST", | ||
| "headers": [{ | ||
| "name": "TrainingKey", |
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Isn't this Training-key?
| "path": "customvision/v1.0/Training/projects?name={name}", | ||
| "method": "POST", | ||
| "headers": [{ | ||
| "name": "TrainingKey", |
| "required": false, | ||
| "typeName": "string" | ||
| },{ | ||
| "name": "TrainingKey", |
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I am not done implementing Custom Vision overall. Since I do not have a Azure cloud account and I cannot seem to make one I was wondering if anyone could look at test the code and give feedback.
Thanks