Comments (6)
You need to run convert_coco2ytvis.py
to generate these files.
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but I run it,got error:No such file or directory: coco/annotations/coco2ytvis2019_train.json'
I find in code:os.path.join(_root, "coco/annotations/coco2ytvis2019_train.json"), "COCO to YTVIS 2019:"),
should i prepare it?Thanks!
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You need to make sure that the coco/annotations/ folder exists and prepare the coco and ytvis19 original datasets.
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I don’t need to prepare the json file in the coco folder, right?your work is great,I will quote!
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Thank you very much! Yes. coco2ytvis2019_train.json is automatically generated by convert_coco2ytvis.py based on the annotations from both COCO and ytvis19 datasets.
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Just a quick question on annotations - in ytvis_2019, I have annotations for validation in valid/Annotations
but my valid.json
file downloaded from the server does not have annotations any. I cannot compute AP/AR locally. So the following is False
despite valid/Annotations
existing
self._do_evaluation = "annotations" in self._ytvis_api.dataset
Is there a way to recreate the json file to also point to the annotations? I guess these were recently released since prior you could only validate on CodeLab?
Also, I am just wondering for code development and prototyping of your model, what is the best practice since validation of OVIS/YTVIS2019-2021 is only performed on the CodeLab server.
Do you create a train/val split from the train.json file? How did you evaluate model performance to ensure it was working?
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Related Issues (20)
- Training parameters HOT 2
- 单卡gpu 不支持推理吗 HOT 9
- how to export in onnx format HOT 3
- can not use demo file HOT 2
- 🐛[Bugs] I can't reproduce DVIS online results on Youtube-VIS 2019 HOT 4
- can not produce demos HOT 7
- no detection results on demo.py HOT 2
- Train on custom dataset HOT 8
- Dataset file missing HOT 6
- Exploring Real-time Video Instance Segmentation with DVIS Model HOT 2
- About the transformer denoising blocks (TD) HOT 1
- Some questions about your motivation of instance association.
- Problem when I evaluate DVIS(online) on OVIS dataset HOT 1
- Is the COCO dataset only used for training segmentation models? Do tracking datasets require separate annotations? HOT 4
- Why add ID can make sure that the preframe information will not mix with next frame information.
- How to Train on New Data HOT 1
- The dataset “ytvis2021” does not have instances.json for validation and test sets. Where does their annotation information come from? HOT 2
- How to make a dataset for video instance segmentation model? HOT 3
- vspw inference results image pixels is all zero HOT 2
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