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Endpoint SDK

Use SDK to upload your dataset and predict

Let's start🔜
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Import package 
from innocuous_sdk.endpoint import Endpoint
Login
Use user_name and user_token to login, and start to use the following methods
endpoint = Endpoint('<user_name>', '<user_token>')
Methods
List all running endpoint
List all running endpoint
endpoint_list = endpoint.list_endpoint()
Get endpoint id by name
endpoint_id = endpoint.get_endpoint_id('<my-endpoint-nema>')
Get endpoint information
result = endpoint.get_endpoint(endpoint_id)
Predict with json body
data = { "images": [  
            "https://file.innocuous.ai/3.jpg", 
            "https://file.innocuous.ai/7.jpg", 
            "https://file.innocuous.ai/8.jpg"
        ]}
result = endpoint.predict_json(endpoint_id, data)
Predict with local files
files = [
    '/local/path/file/1.jpg',
    '/local/path/file/2.jpg',
    '/local/path/file/3.jpg',
    '/local/path/file/4.jpg'
]
result = endpoint.predict_file(endpoint_id, files)
Upload dataset
result = endpoint.upload_dataset(endpoint_id, '/local/path/file/test.zip')

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Last modified 2yr ago

Endpoint SDK

Let's start🔜​

Import package

Login

Methods

List all running endpoint

Get endpoint id by name

Get endpoint information

Predict with json body

Predict with local files

Upload dataset

Let's start
🔜