MTCNN instance with preloaded weights doesn't work when used to detect faces after that

[sriram7777]

I'm using MTCNN module as one of the final layers to detect faces. In my API, I'm pre-loading the MTCNN instance by executing the following code before spanning workers using gunicorn.
**mtcnn_detector = MTCNN()**
But when I'm trying to use it on the image coming to MTCNN layer, the detect_faces method gets stuck and the worker times out all the time.
**detector_object = mtcnn_detector.detect_faces(image_rgb)**
But surprisingly. when I initialize it just before calling detect_faces method, it works. I also noticed that the object created while preloading is the one getting used inside too when the image comes, but just that it gets stuck.
And, even when I try to use it as a singleton inside, it gets created for all the workers since it is not preloaded. Each object takes to around 200 MB approximately and I'm not in the position to afford 5 instances of it across the workers.

Any help would be of great help.

Thanks in advance.