Comments (5)
Just add --out and --eval in your command line. Do you have test_2019.json file?
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thank u,
not have, i just want to get val dataset result first.
Just add --out and --eval in your command line. Do you have test_2019.json file?
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Could you share the val dataset result ? My result mIoU 0.5:0.95 is 0.791, that seems unconvinced
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sorry, it's my fault. To evaluate result, you should use the following tool. https://github.com/YueLiao/PIC_HOIW#use-api
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@HawkL327 @lzg188 ,please see the updated README for test-set annotations and evaluation code. For the val-set result, I am not sure whether the validation set was included for training. Now that you can evaluate on the test set, please use the validation result for reference.
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Related Issues (19)
- How to train? HOT 1
- how to use it without CUDA HOT 1
- problem in checkpoint and datasets HOT 1
- Env error
- Using tools/train.py file to train the model and test it, you cannot get the result
- HoiwDataset is not in the dataset registry
- how to support nvidia-a100 environment
- How to train and the training parameters
- What's the mean of 65c1842 in mmdet=1.0rc0+65c1842 ? HOT 1
- How to train using distributed mode?
- test error!!! HOT 2
- hoiw_val.json HOT 6
- building environment HOT 4
- Missing Keys in State dict
- No such file or directory: 'pred_dist_overlap.npz' HOT 1
- where is
- where is the hoiw datasets HOT 9
- Where can I get "pred_dist_overlap_hoiw.npz" HOT 20
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