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Please make sure that this is a feature request. As per our GitHub Policy, we only address code/doc bugs, performance issues, feature requests, and build/installation issues on GitHub. tag:feature_template
System information
TensorFlow.js version (you are using): 3.9.0
Are you willing to contribute to it (Yes/No): yes
Describe the feature and the current behavior/state.
Running models on devices with low resources can lead to a bad user experience or break site stability.
In my project, I ran Blazeface to help users position themselves in front of the camera.
Still, skipping the model and doing a low-performance route could have been a better experience for some testers.
Will this change the current API? How?
No, it's a new API.
Who will benefit from this feature?
sites that need to fall back to a low-performance mode or turn off TFjs for low-resource users.
Any Other info.
my idea is to run a dummy model or tasking calculation to score the resource.
The text was updated successfully, but these errors were encountered:
Please make sure that this is a feature request. As per our GitHub Policy, we only address code/doc bugs, performance issues, feature requests, and build/installation issues on GitHub. tag:feature_template
System information
Describe the feature and the current behavior/state.
Running models on devices with low resources can lead to a bad user experience or break site stability.
In my project, I ran Blazeface to help users position themselves in front of the camera.
Still, skipping the model and doing a low-performance route could have been a better experience for some testers.
Will this change the current API? How?
No, it's a new API.
Who will benefit from this feature?
sites that need to fall back to a low-performance mode or turn off TFjs for low-resource users.
Any Other info.
my idea is to run a dummy model or tasking calculation to score the resource.
The text was updated successfully, but these errors were encountered: