Code Monkey home page Code Monkey logo

Comments (2)

pderrenger avatar pderrenger commented on July 1, 2024

@henningheyen hey there! 😊

Absolutely, you can export your training results from the Ultralytics Hub. Once your model training is complete, you'll find options to download the trained weights, charts detailing the training progress, and other relevant results. Look for a "Download" or "Export" button or section in the interface associated with your completed training session.

If you're having trouble finding this or need more detailed steps, I strongly recommend reviewing the Ultralytics HUB Docs for guidance on managing and exporting your training results.

Thank you for exploring the Ultralytics HUB, and happy modeling!

from hub.

yogendrasinghx avatar yogendrasinghx commented on July 1, 2024

Yes, we support exporting training results like charts and weights from the Ultralytics Hub using our HUB SDK. You can easily accomplish this with the following Python code snippet:

from hub_sdk import HUBClient

# Initialize the HUBClient with your API key
credentials = {"api_key": "<API-KEY>"}
client = HUBClient(credentials)
print("Authenticated:", client.authenticated)

# Access your trained model by its ID
model = client.model("<MODEL-ID>")

# Retrieve metrics from the model
metrics = model.get_metrics()
print("Metrics Data:", metrics)

# Get a URL to download the best model weights
weight_url = model.get_weights_url("best")
print("Weight URL link:", weight_url)

Make sure to replace <API-KEY> and <MODEL-ID> with your actual API key and model ID. This script will authenticate you, fetch the training metrics, and provide a direct link to download the best weights.

For more details and additional functionalities, refer to the Ultralytics HUB SDK documentation.

from hub.

Related Issues (20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.