Use with the REST API
Serverless Hosted API V2 には、すべてのモデルと Workflows 用のエンドポイントが 1 つあります:
https://serverless.roboflow.com
物体検出、キーポイント検出
https://serverless.roboflow.com
https://detect.roboflow.com
インスタンスセグメンテーション
https://serverless.roboflow.com
https://outline.roboflow.com
分類
https://serverless.roboflow.com
https://classify.roboflow.com
セマンティックセグメンテーション
現在サポートされていません
https://segment.roboflow.com
Foundation models(例: CLIP、OCR、YOLO-World)
https://serverless.roboflow.com
https://infer.roboflow.com
HTTP でリクエストを送信する
Checks Roboflow API for workflow definition, once acquired - parses and executes injecting runtime parameters from request body
Roboflow API Key that will be passed to the model during initialization for artifact retrieval
List of field that shall be excluded from the response (among those defined in workflow specification)
Flag to request Workflow run profiling. Enables Workflow profiler only when server settings allow profiling traces to be exported to clients. Only applies for Workflows definitions saved on Roboflow platform.
false
Optional identifier of workflow
Controls usage of cache for workflow definitions. Set this to False when you frequently modify definition saved in Roboflow app and want to fetch the newest version for the request.
true
Successful Response
Validation Error
POST /{workspace_name}/workflows/{workflow_id} HTTP/1.1
Host:
Content-Type: application/json
Accept: */*
Content-Length: 156
{
"api_key": "text",
"inputs": {
"ANY_ADDITIONAL_PROPERTY": "anything"
},
"excluded_fields": [
"text"
],
"enable_profiling": false,
"workflow_id": "text",
"use_cache": true
}
{
"outputs": [
{
"ANY_ADDITIONAL_PROPERTY": "anything"
}
],
"profiler_trace": [
{
"ANY_ADDITIONAL_PROPERTY": "anything"
}
]
}
Python SDK でリクエストを送信する
Python で作業している場合、Serverless API とやり取りする最も便利な方法は Inference Python SDK を使うことです。
SDK を使うには、まずインストールしてください:
pip install inference-sdk
Serverless Hosted API V2 にリクエストを送信するには、次のコードを使用します:
from inference_sdk import InferenceHTTPClient
CLIENT = InferenceHTTPClient(
api_url="https://serverless.roboflow.com",
api_key="API_KEY"
)
result = CLIENT.infer(your_image.jpg, model_id="model-id/1")
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