I tried to use table-master (alone, not the end2end model) but it takes 18s just to infer on one image from pubtabnet (~500 pixels width) plus it takes about 2GB memory from the GPU (1 tesla K80).
Therefore I wanted to know if it is the normal memory consumption and processing time for table-master and also I wanted to know if there is any mean to reduce the memory consumption and increase the processing speed. Because it is unfeasible to use a model that takes 18s to infer on one image.
Hi,
I tried to use table-master (alone, not the end2end model) but it takes 18s just to infer on one image from pubtabnet (~500 pixels width) plus it takes about 2GB memory from the GPU (1 tesla K80).
Therefore I wanted to know if it is the normal memory consumption and processing time for table-master and also I wanted to know if there is any mean to reduce the memory consumption and increase the processing speed. Because it is unfeasible to use a model that takes 18s to infer on one image.
Thank you in advance for your answer