mtcnn optimization is input dependent about tensorrt_demos

[jkjung-avt]

You are right. I've optimized MTCNN PNet based for 1280x720 image inputs, and it does not work very well for portrait inputs. But I don't plan to update the code to better support other cases for now. I think interested readers should be able to modify 'mtcnn/det1_relu.prototxt' and 'utils/mtcnn.py' by themselves.

In order to handle input images of multiple different input shapes, one might consider prebuilding TRT-PNet with a few different input shapes and select the best one at runtime.

[flyingmrwang]

Actually, I am trying to find a face alignment model for efficient batch inference. Maybe mtcnn is not the best choice. Anyway, your demo helped me a lot.

[jkjung-avt]

Glad to hear that. Good luck with your own project.