Comments (2)
closerbibi
commented on July 24, 2024
Which version of cuda & cudnn do you use?
Are you sure your Caffe was made with cudnn properly?
It usually cost me about 8GB memory on my Titan X Pascal
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zhaobaozi
commented on July 24, 2024
@closerbibi when i use Titan X,i success,do you get the result of 40 mAP（train by yourself)？
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Related Issues (20)
- Model file
- About pipeline HOT 1
- missing pre-trained weight HOT 1
- Proposal has NaN HOT 1
- Data visualization HOT 8
- can matlab2014a do?
- Where is the model file?
- You can convert matlab code to python code?
- why do you minus 40 and 44 in your camera intrinsic matrix? HOT 1
- where should i run trainNet.sh? HOT 4
- where can I load rgbd_det_init_3d_allvgg.caffemodel?
- Matlab - Segs file - Candidates.superpixel and candidates.label? HOT 2
- Loss stays constant during training HOT 1
- Quesion about the make step!!
- How to get Rtilt
- Creating SGDSolver fails while training
- no module named cython_bbox HOT 1
- what is the difference between gt2Dvis and gt2Dsel in annotations?
- Why you use gt2Dsel only in extract_GTinfo.m?
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