Hi,
I am Tin, a student who found this work very interesting.
However, when I run the evaluation like this:
GPU_VISIBLE_DEVICES=0,1,3,4,5,6,7 python -m torch.distributed.launch --nproc_per_node=1 --use_env main.py --dataset_file coco --coco_path ../../Detic/Detic/datasets/coco/ --output_dir ./output/ --num_queries 100 --with_box_refine --two_stage --label_map --eval --resume ../coco_model.pth \
The results are even better than your reported results on the paper, concretely, this is your table 4.
I am perplexed now and I really need to understand how come it is to make sure that I am doing right and move to further steps.
Hope that you will clarify it. Thank you very much for your contribution.
Hi, I am Tin, a student who found this work very interesting. However, when I run the evaluation like this:
GPU_VISIBLE_DEVICES=0,1,3,4,5,6,7 python -m torch.distributed.launch --nproc_per_node=1 --use_env main.py --dataset_file coco --coco_path ../../Detic/Detic/datasets/coco/ --output_dir ./output/ --num_queries 100 --with_box_refine --two_stage --label_map --eval --resume ../coco_model.pth \
The results are even better than your reported results on the paper, concretely, this is your table 4.
I am perplexed now and I really need to understand how come it is to make sure that I am doing right and move to further steps.
Hope that you will clarify it. Thank you very much for your contribution.
Best, Tin