Open lynetcha opened 8 years ago
If you are using end2end training, have a good SSD and compiled Caffe with latest cuDNN, training should be much faster than 200 ms per iteration.
@happyharrycn Which version of caffe do you use ? I tried to build the caffe fork of this repo with cuda 7.5 and cuDNN v5 and it didn't work.
I am using the caffe main branch (cuDNN v5 is supported on May 17th). You will need to merge the RoI pooling and the smoothed l1 loss layers from Ross's caffe version.
@happyharrycn I have done a PR 4163 that merge the both layers to caffe and I am working on porting the code to python 3.4 py-faster-rcnn fork. I still have an issue with the test in my PR. I can't manage to solve it yet !
Can I have the link to Ross's caffe version please ?
@Austriker I have commented on your PR 4163. It should compile and work now.
@happyharrycn Great thank you ! I will test the python 3 port ! It will avoid a lot of maintenance problem having only one caffe !
How long can I expect faster_rcnn to take to train ZF on VOC2007? I am getting about 4.5hours on a TitanX, which seems pretty long. (The training rate is 0.242s / iter)