> 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-hi/deploy/supported-models/depth-anything-v2.md).

# Depth Anything V2

Depth Anything V2 एक मोनोक्युलर डेप्थ एस्टिमेशन मॉडल है। यह किसी भी इनपुट इमेज के लिए एक नॉर्मलाइज़्ड डेप्थ मैप (0 और 1 के बीच के मान) लौटाता है।

{% hint style="info" %}
Depth Anything V2 Serverless Hosted API पर उपलब्ध नहीं है। इसे एक [Dedicated Deployment](/roboflow/roboflow-hi/deploy/dedicated-deployments.md) या [self-hosted Inference](https://inference.roboflow.com/).
{% endhint %}

## कोड उदाहरण

इंस्टॉल करें [Inference SDK](https://inference.roboflow.com/):

```bash
pip install inference-sdk opencv-python
```

सेट करें `api_url` अपने Dedicated Deployment URL या किसी local Inference server पर। अपना [Roboflow API Key](https://app.roboflow.com/settings/api) के माध्यम से `API_KEY` environment variable. यह script डेप्थ मैप को रंगीन बनाता है और इनपुट के साथ side-by-side comparison लिखता है।

```python
import os
import urllib.request

import cv2
import numpy as np
from inference_sdk import InferenceHTTPClient

IMAGE_URL = "https://storage.googleapis.com/com-roboflow-marketing/notebooks/examples/bicycle.png"
IMAGE_PATH = "bicycle.png"
OUTPUT_PATH = "depth_annotated.png"

urllib.request.urlretrieve(IMAGE_URL, IMAGE_PATH)
image = cv2.imread(IMAGE_PATH)

client = InferenceHTTPClient(
    api_url="https://your-deployment.roboflow.cloud",
    api_key=os.getenv("API_KEY"),
)
result = client.depth_estimation(IMAGE_PATH)

depth = np.array(result["normalized_depth"], dtype=np.float32)
depth = cv2.resize(depth, (image.shape[1], image.shape[0]))
depth_vis = (depth * 255).astype(np.uint8)
depth_color = cv2.applyColorMap(depth_vis, cv2.COLORMAP_INFERNO)

cv2.imwrite(OUTPUT_PATH, np.hstack([image, depth_color]))
```

<figure><img src="/files/860e023a10ee808611487ad9ad6a1b978bd52fe2" alt=""><figcaption></figcaption></figure>

{% hint style="info" %}
सेट करें `api_url` को अपने deployment target से मिलाने के लिए:

* `http://localhost:9001` एक स्थानीय [Inference](https://inference.roboflow.com/) सर्वर।
* आपका [Dedicated Deployment](/roboflow/roboflow-hi/deploy/dedicated-deployments.md) एक private endpoint के लिए URL।
  {% endhint %}


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