ThesisUBM

[marcelocl1363]

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Description

Esperando una autorizacion

Use case

UMB ultrasound

Additional

No response

[pderrenger]

Hello, ThesisUBM! 🌟 It seems like you're awaiting an authorization for a specific use case related to UMB ultrasound. To offer you more targeted assistance, could you please provide a bit more detail on the type of authorization you're referring to? Are you looking for access permissions, API keys, or something else? This will help us direct you appropriately or offer the right guidance. For immediate general information, don't forget to check our Docs at https://docs.ultralytics.com/hub. Looking forward to hearing more from you!

[marcelocl1363]

Hello Paula, I sent e-mail few minutes ago.

I want to view the inference image on my Jupyter Notebook.

Thanks a lot. Regards,

Marcelo Letamendía.

El lun, 29 abr 2024 a las 2:13, Paula Derrenger @.***>) escribió:

Hello, ThesisUBM! 🌟 It seems like you're awaiting an authorization for a specific use case related to UMB ultrasound. To offer you more targeted assistance, could you please provide a bit more detail on the type of authorization you're referring to? Are you looking for access permissions, API keys, or something else? This will help us direct you appropriately or offer the right guidance. For immediate general information, don't forget to check our Docs at https://docs.ultralytics.com/hub. Looking forward to hearing more from you!

— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.***>

[pderrenger]

Hello Marcelo,

Great to hear from you! For viewing inference images directly in your Jupyter Notebook, you can use the matplotlib library. After running your inference, you can plot the image with the following approach:

1. Use the imshow function from matplotlib.pyplot to display the image.
2. Ensure your inference result is in an appropriate format (e.g., a PIL image or a numpy array).

Here's a quick hint without the code specifics: After obtaining your inference image, simply use plt.imshow(your_image) followed by plt.show() to display it in your notebook.

Remember, the Ultralytics HUB Docs is a valuable resource for more details. 😊