> For the complete documentation index, see [llms.txt](https://docs.roboflow.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/yolov9.md).

# YOLOv9

YOLOv9 객체 감지는 우리의 [Serverless Hosted API](/roboflow/roboflow-ko/deploy/serverless-hosted-api-v2.md). YOLOv9 학습은 Roboflow에서 지원되지 않지만, 당신은 [사전 학습된 가중치를 업로드할 수 있습니다](/roboflow/roboflow-ko/deploy/upload-custom-weights.md) 기존 Project에 대해 이를 제공하고 Serverless Hosted API를 통해 서빙할 수 있습니다.

셀프 호스팅 배포는 다음을 참조하세요 [Roboflow Inference](https://inference.roboflow.com/).

YOLOv9 입력 크기는 Roboflow 외부에서 모델을 학습할 때 설정됩니다(일반적인 값: 640x640 또는 1280x1280).

## 별칭

YOLOv9에는 기본 Roboflow Universe 별칭이 없습니다. 추론을 실행하려면, 직접 학습한 YOLOv9를 사용하세요 `model_id` 형식으로 `project/version` (YOLOv9 가중치를 업로드한 Project에서).

## 코드 샘플

SDK를 설치하고 [supervision](https://supervision.roboflow.com/) 디코딩 및 주석을 위해:

```bash
pip install inference-sdk supervision
```

다음으로 바꾸세요 `your-project/1` 자신의 `model_id`. 귀하의 [Roboflow API Key](https://app.roboflow.com/settings/api) 를 `API_KEY` 환경 변수.

```python
import os
import urllib.request

import cv2
import supervision as sv
from inference_sdk import InferenceHTTPClient

image_url = "https://storage.googleapis.com/com-roboflow-marketing/notebooks/examples/cars-highway.png"
image_path = "cars-highway.png"
urllib.request.urlretrieve(image_url, image_path)

image = cv2.imread(image_path)

client = InferenceHTTPClient(
    api_url="https://serverless.roboflow.com",
    api_key=os.getenv("API_KEY"),
)
result = client.infer(image, model_id="your-project/1")

detections = sv.Detections.from_inference(result)

box_annotator = sv.BoxAnnotator()
label_annotator = sv.LabelAnnotator()

annotated = box_annotator.annotate(scene=image.copy(), detections=detections)
annotated = label_annotator.annotate(scene=annotated, detections=detections)

cv2.imwrite("annotated.png", annotated)
```

{% hint style="info" %}
설정하세요 `api_url` 를 배포 대상에 맞게:

* `https://serverless.roboflow.com` Serverless Hosted API용.
* `http://localhost:9001` 로컬 [Inference](https://inference.roboflow.com/) 서버용.
* 귀하의 [Dedicated Deployment](/roboflow/roboflow-ko/deploy/dedicated-deployments.md) 개인 엔드포인트용 URL.
  {% endhint %}


---

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