You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Is it possible to train pvanet in a single machine with multiple gpus?
According to "rbgirshick#107", python layer makes it not possible to use multiple gpu.
However, this paper "Feature Pyramid Networks for Object Detection" (https://arxiv.org/abs/1612.03144) suggests that RPN framework can be trained using synchronized SGD training on 8 GPUs (using caffe2)
I am currently woking on COCO dataset for object detection with pvanet. Any hint to speed training using multiple GPU machine? Or will training on GPU cluster helps?
The text was updated successfully, but these errors were encountered:
Is it possible to train pvanet in a single machine with multiple gpus?
According to "rbgirshick#107", python layer makes it not possible to use multiple gpu.
However, this paper "Feature Pyramid Networks for Object Detection" (https://arxiv.org/abs/1612.03144) suggests that RPN framework can be trained using synchronized SGD training on 8 GPUs (using caffe2)
I am currently woking on COCO dataset for object detection with pvanet. Any hint to speed training using multiple GPU machine? Or will training on GPU cluster helps?
The text was updated successfully, but these errors were encountered: