model used for detection #3
Description
Hello! I'm interested in this work. I use AOGNets to faster R-CNN as your paper intorduced. I use the code from https://github.com/jwyang/faster-rcnn.pytorch/tree/pytorch-1.0. And I make a aog.py in lib/model/faster_rcnn you do. The issue is that when I run train_val to train the model end to end, The loss is so high normally. I want to know where is the problem. Is it related to FP-optimizer? If yes, what should I do for this issues?
I'm looking forward to your reply!
Best wishes!
I use the pretrained model in your google driver.