Closed lawo123 closed 4 years ago
Are you running on CPU? Which task are you running? If its a detection task, you might want to use 300x300 resolution?
I run segmentation task on Android gpu,scales = 2.My picture is 1024 ×720,so i retrained model to 512*512 resolution.
Could you benchmark different stages (frame reading/processing, model execution, overlay etc.) to understand the bottleneck?
I think the issue is solved, so closing now
I deployed the segmentation model to android by ncnn,the inference cost 400ms,image_size=512*512.How to increase speed?