Closed xavido closed 4 months ago
Yes, but it depends on the model type. For example, here's a pipeline I made that predicts whether a cellphone is in the user's hand. It uses the teachable machine 224x224px model (based on MobileNetV2 I think). To host the model, I exported it as Tensorflow.js in teachable machine and uploaded it as a sharable link. When you export your model, you'll need to append /model.json
to the link to run it in VisualBlocks.
Different model / project types might not have their pre and post processing pipelines supported at the moment.
Thank you Matthew for the great example!!! Feel free to make a pull request to https://github.com/google/visualblocks/tree/main/pipelines and I'm happy to highlight your example on Community Page!
Thank you Matthew for the great example!!! Feel free to make a pull request to https://github.com/google/visualblocks/tree/main/pipelines and I'm happy to highlight your example on Community Page!!
On Tue, Jun 18, 2024 at 10:32 AM Matthew Soulanille < @.***> wrote:
Yes, but it depends on the model type. For example, here's a pipeline I made that predicts whether a cellphone is in the user's hand https://github.com/user-attachments/files/15890339/teachable_machine_image.json. It uses the teachable machine 224x224px model (based on MobileNet). To host the model, I exported it as Tensorflow.js in teachable machine and uploaded it as a sharable link. When you export your model, you'll need to append /model.json to the link to run it in VisualBlocks.
Different model / project types might not have their pre and post processing pipelines supported at the moment.
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Wow, thanks so much Mathew ! I will test it. Thanks so much! I'm using this workflow to work with primary and secondary teachers in rapid prototyping educational projects.
I close the issue as it's fixed.
Hi, Is there any way to import models from Teachable Machine ? Thanks!
Xavi