EfficientDet.Pytorch
EfficientDet.Pytorch copied to clipboard
toandaominh1997
Where is the constrcit of Flops?
Maybe need pretrained weights?
@qtw1998 No, you need create folder 'weights' or add `os.makedirs(directory)' to create folder contains 'weights'. You do not need to pretrained the model first. Sorry, I have not added this in the code yet How do you fix out memory in centos?. Please let me know??
@qtw1998 No, you need create folder 'weights' or add `os.makedirs(directory)' to create folder contains 'weights'. You do not need to pretrained the model first. Sorry, I have not added this in the code yet How do you fix out memory in centos?. Please let me know??
I'm using 8 x 2080ti to train the model now. Maybe there are some bugs in the code, like some memory leakings?
@qtw1998 I see it only takes ~3000 MB per GPU, you try increasing the batch_size?
@qtw1998 Can you train COCO2017 and let me know mAP. I haven't had time to train this dataset now
@qtw1998 Can you train COCO2017 and let me know mAP. I haven't had time to train this dataset now
Would you please upload the bash scripts(it's about the COCO2014)？hhh THX！！ And the first time I run train.py after finish running the bash scripts(Coco2014), there are some bugs you know, because u can see cocov2.py is all about the coco2017 solving.
@qtw1998 I see it only takes ~3000 MB per GPU, you try increasing the batch_size?
NO, I don't know why. If I use one less, will have the same problem I have posted yesterdayRuntimeError: CUDA error: out of memory
I updated sell script for download coco2017 at (https://github.com/toandaominh1997/EfficientDet.Pytorch/blob/master/datasets/scripts/COCO2017.sh). Please checkout last commit and follow readme for training coco2017. Thanks @qtw1998
Can you increase the batch size(+4 or +8 ...) to test whether the model for the percentage of gpu? On Mon, Dec 30, 2019 at 5:04 PM Qiao Tianwei [email protected] wrote:
@qtw1998 https://github.com/qtw1998 I see it only takes ~3000 MB per GPU, you try increasing the batch_size?
NO, I don't know why. If I use one less, will have the same problem I have posted yesterdayRuntimeError: CUDA error: out of memory
— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/toandaominh1997/EfficientDet.Pytorch/issues/50?email_source=notifications&email_token=AEMMLCHDEGMOX2VAX62RMJTQ3HBSPA5CNFSM4KBJCBU2YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOEHZ6NAA#issuecomment-569632384, or unsubscribe https://github.com/notifications/unsubscribe-auth/AEMMLCH47EWEBT7POI2SL7TQ3HBSPANCNFSM4KBJCBUQ .
I updated sell script for download coco2017 at (https://github.com/toandaominh1997/EfficientDet.Pytorch/blob/master/datasets/scripts/COCO2017.sh). Please checkout last commit and follow readme for training coco2017. Thanks @qtw1998
Thx bro, and do you use any other instant social medium, maybe we coulda had a better conservation if you'd like, you can send it to my email:[email protected]. Then I can add you on Facebook, IG or even Wechat, etc... and we can have a comprehensive talk or maybe I need your halp! thx bro