Closed zht8506 closed 1 year ago
I tested my own dataset, why didn't there be JF printing,thank you
We used DAVIS 2017 train + YouTubeVOS 2019 train following standard practices.
I tested my own dataset, why didn't there be JF printing,thank you
It needs to be validated separately to get the metrics, and no validation will be done during training.
Thank you for your reply, it addresses my question very well.
It needs to be validated separately to get the metrics, and no validation will be done during training.
Do you mean to write a separate Python file for validation metrics, which is not included in the source code? Sorry, I am a novice and asked these questions.
@1334233852 You can use the tools listed here: https://github.com/hkchengrex/XMem/blob/main/docs/INFERENCE.md#getting-quantitative-results
I found that validating the davis2017 results requires the use of youtube data, and I'm wondering which data exactly? I used youtube2018-train.zip but only get 85.5 JF (vs 86.2 in your paper) on davis2017? Do I need to use youtube2018-train_all_frames.zip or youtube2019-train.zip? Thank you very much.