Closed zhexiangrenjian closed 1 year ago
Actually, I did not create a YAML file for OCHuman as we did not do the training on this dataset and the format is the same as COCO. So, as long as you downloaded (and uncompressed) the OCHuman dataset in the data
directory with the name ochuman
, you can make the inference by
python tools/test.py --cfg experiments/logocap-hrnet-w32-coco.yaml \
--ckpt weights/logocap/logocap-hrnet-w32-coco.pth.tar \
DATASET.TEST {split} DATASET.ROOT data/ochuman
where {split}
is "eval" for the testing split and "val" for the validation split.
It should be noted that I replaced the split name of testing from "test" to "eval" to avoid a conflict with the COCO test-dev dataset that doesn't have ground truth for offline evaluation.
Changing the following lines https://github.com/cherubicXN/logocap/blob/39d104fdaf4970bab91392fe81897e450daaffb9/experiments/logocap-hrnet-w32-coco.yaml#L27-L28 also works.
Hi, Thank you for the amazing work! Could you please release the .YAML files of OCHuman?