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When i training retinanet , if i set IMS_PER_BATCH: 2 ， it just use 1631MB memory。
logs like :
I0419 19:38:00.144428 30279 context_gpu.cu:305] GPU 0: 1631 MB
I0419 19:38:00.144462 30279 context…
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While I am trying to run the train_net.py on my own dataset by using retinanet model and getting the following error. I notice there are many changes being incorporated into the repository.
Traceback…
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Hi, first of all, thanks for releasing all of these wonderful models.
I succeeded in running inference code using Mask RCNN following the tutorial.
```
python2 tools/infer_simple.py \
--cfg…
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Anyone able to reproduce retinet (FPN) accuracy, on any dataset?
Tried it on a new dataset and got VOC2012 accuracy around 0.52 mAP (ResNet50). Same dataset with mask faster rcnn FPN (ResNet50) fro…
jwnsu updated
6 years ago
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When I use one GPU to train, there is no problem. But when I use two or four GPUs, the problem come out. The log output:
terminate called after throwing an instance of 'caffe2::EnforceNotMet'
w…