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To improve the speed of loading models on the car it would be an idea to perform the Tensorflow -> OpenVINO model optimization in a lambda function, rather than on the car. This should save 15-20 seconds when loading a model on the car.
Initial concept (Docker file + conversion code) is here: #9
Design decisions needed:
Where in the upload-pipeline should it happen? Two options
Instead of clamscan_post; trigger on virus scan complete, then optimize and upload to target location
After clamscan_post; when the model is Available (maybe trigger on the change in DynamoDB?)
Is another status in the DynamoDB desired (Available -> Optimized?)
If processing after clamscan_post: shall initial file be kept and new file in a new location, or shall it be edited in place?
The text was updated successfully, but these errors were encountered:
To improve the speed of loading models on the car it would be an idea to perform the Tensorflow -> OpenVINO model optimization in a lambda function, rather than on the car. This should save 15-20 seconds when loading a model on the car.
Initial concept (Docker file + conversion code) is here: #9
Design decisions needed:
clamscan_post
; trigger on virus scan complete, then optimize and upload to target locationclamscan_post
; when the model is Available (maybe trigger on the change in DynamoDB?)clamscan_post
: shall initial file be kept and new file in a new location, or shall it be edited in place?The text was updated successfully, but these errors were encountered: