Closed chenbys closed 1 year ago
The current version of the code may have this bug when using ddp, and I don't know what causes it. I rebuilt E2EC based on mmdetection, using FCOS as the detector to achieve more robust performance and faster convergence. The code will be released soon.
The current version of the code may have this bug when using ddp, and I don't know what causes it. I rebuilt E2EC based on mmdetection, using FCOS as the detector to achieve more robust performance and faster convergence. The code will be released soon. Hello, I am looking forward to your latest work, and thank you for your research. I am looking forward to your latest Fcos implementation. Now the training convergence is a little slow, I would like to take the liberty of asking how long it will be uploaded, I can't wait to try. Thanks!
The current version of the code may have this bug when using ddp, and I don't know what causes it. I rebuilt E2EC based on mmdetection, using FCOS as the detector to achieve more robust performance and faster convergence. The code will be released soon.
Hello, thanks for your work. I wonder when will the FCOS version be released? Thanks! :)
I used mmdet to re-implement e2ec, no lockups when using ddp, hope this helps you. e2ec_mmdet.
Thanks for the excellent paper and code. But my experiments (DCN disabled) on KINS dataset always deadlock at epoch 20 with GPU and CPU busy. I use command
python -m torch.distributed.launch --nproc_per_node 2 train_net_ddp.py --config_file kitti --bs 4 --gpus 2
. Is there any advice to check? Thanks advance.BTW, what are the minimum bs and epoch in KINS dataset? Bs 64 and epoch 150 seem too huge.