My operating environment: rtx3090, cuda11.0, pytorch1.7.1
When I run alphaction, my graphics card will use up to 8g of memory.
Is it possible to modify resnet101_8x8f_denseserial.yaml for optimization?
if possible, modify those configuration items will have an effect?
This is expected behavior, since we have to use both tracking model and action detection model. You could try a lower resolution input for the tracking model, but this would lead to worse tracking performance.
My operating environment: rtx3090, cuda11.0, pytorch1.7.1 When I run alphaction, my graphics card will use up to 8g of memory. Is it possible to modify resnet101_8x8f_denseserial.yaml for optimization? if possible, modify those configuration items will have an effect?