I have a strange problem when dealing with the Caltech dataset. Bascially, I think we are using the same dataset. I also collect all the pedestrian data from the originall Caltech dataset, and I also changed the name from pedestrian to person.
But, when I start to train the dataset, I get the loss keeps being 0.
Have you met that kind of situation? And Could you share your solver_train.prototxt, I think maybe I got some wrong Hyper parameters setting in this file.
In case you are Chinese, you can reply directly in Mandarin.
Hi, zlingkang.
I have a strange problem when dealing with the Caltech dataset. Bascially, I think we are using the same dataset. I also collect all the pedestrian data from the originall Caltech dataset, and I also changed the name from pedestrian to person.
But, when I start to train the dataset, I get the loss keeps being 0.
Like this issue I create before. https://github.com/chuanqi305/MobileNet-SSD/issues/116
Have you met that kind of situation? And Could you share your solver_train.prototxt, I think maybe I got some wrong Hyper parameters setting in this file.
Many Thanks , Looking forward for your reply.