Comments (2)
Hello @JohanCao , thanks for checkout out our work!
Here's a DD3D model with V2-99 backbone that is pre-trained only on COCO: https://tri-ml-public.s3.amazonaws.com/github/dd3d/pretrained/coco_pretrained_v99_1cinuqqf-20210513_071634_model_final.pth But please use it at your risk, because this model might be slightly outdated, and the keys of the state_dict
might not perfectly match the one in the release model. If it works, it should give 18.45% BEV AP on Car Moderate on KITTI val. If it does not, you might have to remap the keys in the checkpoint to match the DD3D state_dict in the released code. In the early part of training log, it prints what weights are used and unused, so you will know the weights are correctly loaded. If there are more demands for this checkpoint, I will work on the remapping and officially release it. Another option is to actually train the model yourself, starting from the COCO pre-trained V2-99 backbone, which is available from here: https://dl.dropbox.com/s/v64mknwzfpmfcdh/faster_V_99_eSE_ms_3x.pth. (officially released here: https://github.com/youngwanLEE/vovnet-detectron2). You will have to do a bit of key remapping too.
And to answer your question, yes, the released models are pre-trained on both COCO and DDAD15M:
from dd3d.
Hi Dennis,
Thank you for your reply! That's very helpful.
Could you also please provide the DLA34 version?
Regards,
Johan
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Related Issues (20)
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