# L2Cs-Net

L2Cs-Net is a gaze direction estimation model that detects faces and predicts each face's yaw and pitch angles. You can run it through our [Serverless Hosted API](/deploy/serverless-hosted-api-v2.md).

## Code sample

Call the `/gaze/gaze_detection` endpoint directly with `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"}
  }'
```

The same call through the SDK. Install it:

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

The code sample below calls `detect_gazes`, which hits the same `/gaze/gaze_detection` endpoint. Pass your [Roboflow API Key](https://app.roboflow.com/settings/api) via the `API_KEY` env variable.

```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" %}
Set `api_url` to match your deployment target:

* `https://serverless.roboflow.com` for the Serverless Hosted API.
* `http://localhost:9001` for a local [Inference](https://inference.roboflow.com/) server.
* Your [Dedicated Deployment](/deploy/dedicated-deployments.md) URL for a private endpoint.
  {% endhint %}

The response contains a list with `predictions` (each with `face` bounding box, `landmarks`, `yaw`, and `pitch` in radians), `time`, `time_face_det`, and `time_gaze_det`.

For self-hosted deployments and additional examples, see the [Roboflow Inference docs](https://inference.roboflow.com/).


---

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