Comments (4)
Hi @ddwhzh,
The code for fine-tuning on V-COCO can be found in the same repository, under the branch vcoco
, you do need to set up a softlink pointing to the V-COCO dataset though.
Cheers,
Fred.
from upt.
Sorry for the possible misunderstanding due to the expression, I would like to know how to pre-train a detr pre-train model on vcoco instead of training upt with a pre-trained model.
from upt.
The vcoco
branch is precisely for that purpose. If you look at the history of the branch, you'll find that commit 906fb89
added support for fine-tuning the object detector on V-COCO.
from upt.
THX, understood.
from upt.
Related Issues (20)
- list index out of range HOT 2
- error when test vcoco HOT 14
- confused about the vcoco dataset HOT 3
- HICO-DET training accuracy problem HOT 2
- A question about v-coco dataset HOT 2
- Detection results, mAP calculation HOT 2
- torch.multiprocessing.spawn.ProcessRaisedException HOT 2
- Multiple loss training code HOT 2
- train HOT 2
- Detected human–object interactions on video HOT 1
- VCOCO Scenario 1 and Scenario 2 HOT 1
- AttributeError: 'Namespace' object has no attribute 'lr_backbone' HOT 7
- list out of range and checkpoint's state_dict mismatch HOT 2
- UPT predicts scenario 1 of V-COCO HOT 2
- Validation set division on HICO-DET HOT 4
- Real-time measurement HOT 1
- GFLOPs and params HOT 1
- Code to visualize attention maps HOT 1
- suppress overconfident objects HOT 1
- VCOCO evaluation HOT 1
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