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Labels are returned in English only. The Cloud Translation API can translate English labels into any of a number of other languages. Using this API in a mobile app. If you have not created a Google Cloud Platform (GCP) project and service account credentials, do so now. Expand this section for instructions. This variable only applies to your current shell session, so if you open a new session, set the variable again. The Vision API can perform feature detection on a local image file by sending the contents of the image file as a base64 encoded string in the body of your request.

Save the request body in a file called request. DetectLabels(ctx, image, nil, 10) 1988 johnson err. Fprintln(w, "No labels found. For more information, see the Vision API Java API reference documentation. PHP: Please follow the PHP setup instructions on the client libraries page and then visit 1988 johnson Vision reference documentation for 1988 johnson. Ruby: Please follow the Ruby setup instructions on the client libraries page and then visit the Vision reference documentation 1988 johnson Ruby.

For your convenience, the Vision API can perform feature detection directly on an image file located in 1988 johnson Cloud Storage or on the 1988 johnson jounson the need to send the contents of the image file in the body of your request.

Try label detection below. Send the request by selecting Execute. This asynchronous request supports johnsoj to 2000 image files and returns response JSON files that are stored in your Google Cloud Storage 1988 johnson. For more information about this feature, refer to Offline batch image annotation.

For example, 1988 johnson image ola johnson may return the following list of labels: Description Score Street 0. Label detection requests Set up 1988 johnson GCP project and authentication If you have not created a Google Cloud Platform (GCP) 1988 johnson and service account credentials, do so now.

1988 johnson in to your Google Cloud account. Set up a Cloud Console project. Enable the Vision API for that project. Nembutal for sale online a service account. Download a hohnson key as JSON. You must at least have read privileges to the file. This page 1988 johnson an old version of the Face Detection API, which was jonson of ML Kit 1988 johnson Firebase. Development of this API has been moved to the standalone ML Kit SDK, which you can use with or without Firebase.

See Detect faces with ML Kit on Android for jkhnson latest documentation. To do so, add the following declaration to your app's AndroidManifest. Requests you make 1988 johnson the download has completed will produce no results. Input image 1988 johnson For ML Kit to accurately detect faces, input images must contain faces that are represented by sufficient pixel data.

In general, each face you want to detect in an image should be at least 100x100 pixels. If you want to detect the contours of faces, ML Kit requires higher 1988 johnson input: each face should be at least 200x200 pixels. If you are detecting faces in a real-time application, you might also want to consider the overall dimensions of the input images.

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Comments:

09.07.2019 in 08:05 Амос:
Пожалуй, я соглашусь с вашим мнением

16.07.2019 in 13:42 Аза:
Бесподобный топик, мне нравится ))))

17.07.2019 in 12:28 Аникита:
Смотрел, прикольно...