curl -X POST
-H 'Authorization: Key YOUR_API_KEY'
-H "Content-Type: application/json"
-d '
{
"inputs": [
{
"data": {
"image": {
"url": "https://samples.clarifai.com/metro-north.jpg"
}
}
}
]
}'
https://api.clarifai.com/v2/models/e0be3b9d6a454f0493ac3a30784001ff/outputs
app.models.initModel({id: Clarifai.GENERAL_MODEL, version: "aa7f35c01e0642fda5cf400f543e7c40"})
.then(generalModel => {
return generalModel.predict("the-image-url");
})
.then(response => {
var concepts = response['outputs'][0]['data']['concepts']
})
from clarifai.rest import ClarifaiApp
from clarifai.rest import Image as ClImage
app = ClarifaiApp(api_key='your_api_key')
model = app.public_models.general_model
model.model_version = 'aa7f35c01e0642fda5cf400f543e7c40'
response = model.predict(Image(url="https://samples.clarifai.com/metro-north.jpg"))
ClarifaiImage *image = [[ClarifaiImage alloc] initWithURL:@"https://samples.clarifai.com/metro-north.jpg"];
[_app getModelByName:@"general-v1.3" completion:^(ClarifaiModel *model, NSError *error) {
[model predictOnImages:@[image]
completion:^(NSArray<ClarifaiSearchResult *> *outputs, NSError *error) {
NSLog(@"outputs: %@", outputs);
}];
}];
ConceptModel model = client.getDefaultModels().generalModel();
ModelVersion modelVersion = model.getVersionByID("the-version").executeSync().get();
ClarifaiResponse<List<ClarifaiOutput<Prediction>>> response = client.predict(model.id())
.withInputs(ClarifaiInput.forImage("some-URL"))
.withVersion("aa7f35c01e0642fda5cf400f543e7c40")
.executeSync();
