Generate Semantic Room Wireframes with Cognitive Actions from SRW-Net

23 Apr 2025
Generate Semantic Room Wireframes with Cognitive Actions from SRW-Net

The davidgillsjo/srw-net API provides powerful Cognitive Actions designed for image analysis, specifically aimed at generating Semantic Room Wireframe annotations from indoor scene images. These pre-built actions allow developers to leverage advanced machine learning models without needing to build complex algorithms from scratch. By using these actions, developers can efficiently transform images into structured annotations, identifying key architectural elements like walls, floors, and doors, which can be particularly useful in fields such as interior design, robotics, and augmented reality.

Prerequisites

Before you can start integrating the Cognitive Actions from the SRW-Net API, ensure you have the following:

  • API Key: You will need an API key to authenticate your requests. This key should be included in the headers of your API calls.
  • Basic Knowledge of RESTful APIs: Familiarity with sending HTTP requests and handling JSON responses will be beneficial.

To authenticate, you typically include your API key in the request headers as follows:

Authorization: Bearer YOUR_COGNITIVE_ACTIONS_API_KEY
Content-Type: application/json

Cognitive Actions Overview

Generate Semantic Room Wireframe

The Generate Semantic Room Wireframe action generates annotations from indoor scene images. This action predicts coordinates and labels for various elements in the image, such as walls, floors, ceilings, windows, and doors, along with identifying junctions accurately.

Input

The input for this action requires the following fields based on the schema:

  • inputImage (required): A URI string pointing to the image to be analyzed. This must be a valid URL.
  • outputFormat (optional): A string that specifies how the results will be returned. Options include "Json" or "Plot", with "Plot" as the default.
  • confidenceThreshold (optional): A number (defaulting to 0.9) that sets the minimum confidence level required for the results to be considered valid.

Example Input:

{
  "inputImage": "https://replicate.delivery/mgxm/b56de6bc-ec1f-4298-8b22-9fc79678f0c1/S03302R877178P2.png",
  "outputFormat": "Plot",
  "confidenceThreshold": 0.9
}

Output

The action typically returns either JSON data or a plot image, depending on the specified output format. For example, if the output format is set to "Plot", the response will include a URL to the generated plot image.

Example Output:

{
  "Json": null,
  "plot": "https://assets.cognitiveactions.com/invocations/133f1965-530f-4a2d-a5ba-f17b9f5341c3/46ac64cb-6404-43a3-aa54-af13ed5ed98f.png"
}

Conceptual Usage Example (Python)

Here’s a conceptual Python code snippet to illustrate how you might call the Generate Semantic Room Wireframe action:

import requests
import json

# Replace with your Cognitive Actions API key and endpoint
COGNITIVE_ACTIONS_API_KEY = "YOUR_COGNITIVE_ACTIONS_API_KEY"
COGNITIVE_ACTIONS_EXECUTE_URL = "https://api.cognitiveactions.com/actions/execute" # Hypothetical endpoint

action_id = "52a5bd4e-2ba9-4d0c-b63e-0cb1de5a1a1e"  # Action ID for Generate Semantic Room Wireframe

# Construct the input payload based on the action's requirements
payload = {
    "inputImage": "https://replicate.delivery/mgxm/b56de6bc-ec1f-4298-8b22-9fc79678f0c1/S03302R877178P2.png",
    "outputFormat": "Plot",
    "confidenceThreshold": 0.9
}

headers = {
    "Authorization": f"Bearer {COGNITIVE_ACTIONS_API_KEY}",
    "Content-Type": "application/json"
}

try:
    response = requests.post(
        COGNITIVE_ACTIONS_EXECUTE_URL,
        headers=headers,
        json={"action_id": action_id, "inputs": payload}  # Hypothetical structure
    )
    response.raise_for_status()  # Raise an exception for bad status codes (4xx or 5xx)

    result = response.json()
    print("Action executed successfully:")
    print(json.dumps(result, indent=2))

except requests.exceptions.RequestException as e:
    print(f"Error executing action {action_id}: {e}")
    if e.response is not None:
        print(f"Response status: {e.response.status_code}")
        try:
            print(f"Response body: {e.response.json()}")
        except json.JSONDecodeError:
            print(f"Response body: {e.response.text}")

In this example, replace YOUR_COGNITIVE_ACTIONS_API_KEY with your actual API key. The action ID is specified, and the input payload is structured as required. The endpoint URL is illustrative, as the actual endpoint will depend on your setup.

Conclusion

The Generate Semantic Room Wireframe action of the SRW-Net API enables developers to effortlessly convert indoor images into structured annotations, significantly enhancing applications in various domains. By integrating this powerful cognitive action into your projects, you can streamline processes and open up new possibilities for innovation in image analysis. Consider exploring additional use cases or combining this action with other services for even more advanced applications. Happy coding!

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