Sorry to bother you ,i have met a question when i train the rrpn model.
as shown in the figure,it seems that there occurs bug in box_regression.So i print the value of intermediate process variables. I'm surprised to find that the ouput of resnet_layer2 is nan .I try to lower the base lr,but it is useless.
Could you please give me some advice?Thanks a lot. @mjq11302010044
Sorry to bother you ,i have met a question when i train the rrpn model.
as shown in the figure,it seems that there occurs bug in box_regression.So i print the value of intermediate process variables. I'm surprised to find that the ouput of resnet_layer2 is nan .I try to lower the base lr,but it is useless.
Could you please give me some advice?Thanks a lot. @mjq11302010044