dev-master
9999999-devA simple php library for the google cloud vision API
MIT
The Requires
by Wapnen Gowok
php machine learning computer vision google cloud vision api
A simple php library for the google cloud vision API
Performs Label detection, face detection, Logo detection, explicit content detection, landmark detection, optical character recogition and web detection on images. You can read more about Google cloud vision here https://cloud.google.com/vision/, (*1)
You will need a google account to use this API so if you do not already have an account with google, head over there and create one, (*2)
```bash composer require wapnen/google-cloud-vision-php, (*3)
setImageUri("https://cdn.pixabay.com/photo/2016/02/19/11/25/supreme-court-building-1209701_960_720.jpg"); $annotateImageRequest1->setFeature('IMAGE_PROPERTIES'); $annotateImageRequest1->setFeature('LABEL_DETECTION'); $annotateImageRequest1->setFeature('WEB_DETECTION'); $gcvRequest = new GoogleCloudVision([$annotateImageRequest1], "Your_api_key"); $response = $gcvRequest->annotate(); echo json_encode($response); ?>
## Enable the API To start using the google cloud vision api, follow the instructions here to enable the api for your google account https://cloud.google.com/vision/docs/before-you-begin ## Authentication You must set up an Api key to authenticate your requests. Follow the instructions here https://support.google.com/cloud/answer/6158862?hl=en to set up an API key for your project on google cloud platform console # Usage
Note : You can create as many as 16 Annotate image requests to be sent with the request object The function ```setImageUri();``` takes a Google Cloud Storage image location, or publicly-accessible image URL. Alternatively you can use ```setImage();``` which takes a base64 encoded image string. You can set as many features as are available to the annotateImageRequest by calling the ```setFeature();``` function on the annotateImageRequest which takes any of the following enum parameters ; TYPE_UNSPECIFIED, FACE_DETECTION, LANDMARK_DETECTION, LOGO_DETECTION, LABEL_DETECTION, TEXT_DETECTION, DOCUMENT_TEXT_DETECTION, SAFE_SEARCH_DETECTION, IMAGE_PROPERTIES, CROP_HINTS, WEB_DETECTION. Optionally, you can set the image context for each annotateImageRequest object like so
$annotateImageRequest1 = new AnnotateImageRequest() $annotateImageRequest1->setImageContext(); $annotateImageRequest1->getImageContext()->setCropHintsParams([1.333]); //array $annotateImageRequest1->getImageContext()->setWebDetectionParams(false); //boolean $annotateImageRequest1->getImageContext()->setLanguageHints([]); //array, (*4)
Finally, the GoogleCloudVision request object takes an array of AnnotateImageRequest objects as the first parameter and the api key as the second parameter ### Response object If successful, you will receive a json object response in the format below;
{ "responses": [ { object(AnnotateImageResponse) } ] } ```, (*5)
A simple php library for the google cloud vision API
MIT
php machine learning computer vision google cloud vision api