> 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/l2cs-net.md).

# L2Cs-Net

L2Cs-Net은 얼굴을 감지하고 각 얼굴의 yaw 및 pitch 각도를 예측하는 시선 방향 추정 모델입니다. 다음을 통해 실행할 수 있습니다. [Serverless Hosted API](/roboflow/roboflow-ko/deploy/serverless-hosted-api-v2.md).

## 코드 샘플

다음을 호출하세요 `/gaze/gaze_detection` 엔드포인트를 직접 `curl`:

```bash
curl --location 'https://serverless.roboflow.com/gaze/gaze_detection' \
  --header 'Content-Type: application/json' \
  --data '{
    "api_key": "YOUR_API_KEY",
    "image": {"type": "url", "value": "https://media.roboflow.com/inference/man.jpg"}
  }'
```

SDK를 통한 동일한 호출입니다. 먼저 설치하세요:

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

아래 코드 샘플은 `detect_gazes`를 호출하며, 이는 동일한 `/gaze/gaze_detection` 엔드포인트에 요청합니다. 다음을 전달하세요. [Roboflow API Key](https://app.roboflow.com/settings/api) 다음을 통해 `API_KEY` env 변수.

```python
import os
import urllib.request
from inference_sdk import InferenceHTTPClient

image_url = "https://media.roboflow.com/inference/man.jpg"
image_path = "man.jpg"
urllib.request.urlretrieve(image_url, image_path)

client = InferenceHTTPClient(
    api_url="https://serverless.roboflow.com",
    api_key=os.getenv("API_KEY"),
).select_api_v1()

result = client.detect_gazes(image_path)

for prediction in result[0]["predictions"]:
    face = prediction["face"]
    yaw = prediction["yaw"]
    pitch = prediction["pitch"]
    print(f"Face at ({face['x']}, {face['y']}) - yaw: {yaw:.3f}, pitch: {pitch:.3f}")
```

{% hint style="info" %}
설정 `api_url` 을 배포 대상에 맞게 다음으로 설정하세요:

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

응답에는 다음이 포함된 리스트가 있습니다. `predictions` (각각 다음을 포함합니다. `face` bounding box, `landmarks`, `yaw`, 및 `pitch` (라디안 단위), `time`, `time_face_det`, 및 `time_gaze_det`.

자가 호스팅 배포 및 추가 예시는 다음을 참조하세요. [Roboflow Inference 문서](https://inference.roboflow.com/).


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