Memory leak in using table detection

[Srivishnu27feb]

Hi Team, I have a pdf of 20 pages and I am using pdf2image library to convert to images and passing each image for detection using threads and I could see the memory gets piled up and is not getting deallocated unless the entire application is exited... I tried debugging the code just when using table detection or table structure det the memory gets piledup.. in my flask application i am loading the model once and reusing in my function for infering each pages of pdf and also tried gc.collect() and del the variables but no luck. Currently i am using the huggingface implemtation.. Is there any work around that could help in release the memory?

[balajiChundi]

I am facing the similar issue, memory gets allocated during requests and later the memory doesn't get deallocated which is making the application to crash eventually. I performed memory profiling also while sending in multiple requests, the application is at a constant memory usage prior the request stream and after the stream. But the memory that the application is holding on to has increased (please check the attached image.)