How long to train and evaluate on SBD?
LetsGoFir opened this issue · comments
It takes me 10 hours to do the evaluation on SBD, is it normal?
It depends on the model that you are using and your hardware, but overall this time seems to be too large. ResNet34 on one 1080ti takes about 10 minutes for one training epoch and 1 minute for one validation epoch.
It depends on the model that you are using and your hardware, but overall this time seems to be too large. ResNet34 on one 1080ti takes about 10 minutes for one training epoch and 1 minute for one validation epoch.
I use the 'resnet50_dh128_sbd' and my gpu is rtx2080, so the time is not normal, right?
The SBD has 6671 items to do the inference, and each one takes about 10s.
Yes, this time is not normal. The normal time for ResNet50 on SBD is about 15 minutes per training epoch on one 1080ti with batch-size=12
I download the SBD from
http://www.eecs.berkeley.edu/Research/Projects/CS/vision/grouping/semantic_contours/benchmark.tgz
and type this command
python3 scripts/evaluate_model.py RGB-BRS --checkpoint=resnet50_dh128_sbd --datasets=SBD
I think the number 6671 is right for SBD evaluation, let me check it.
I thought you were talking about training and evaluation during training. Evaluating the NoC metric for RGB-BRS takes a long time because every image is processed sequentially click by click. So your timing seems normal :)
hello, I enquire how long would it take to train on COCO + LVIS on 4 GPUs? The training setting is the same as that of SBD?