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DDPM is known to be time-consuming and I am not sure if it is suitable for video segmentation tasks. So I wonder how much time is needed to for video object segmentation
The text was updated successfully, but these errors were encountered:
overall time = encoder single pass time + decoder single pass time * iterations where iterations can be 5 or 50 with varying performances (see table 1 or figure 7 of https://arxiv.org/pdf/2210.06366.pdf).
Hi,
I start to run pix2seq-Drecently and have encountered some problems.
Firstly, when attempting to train on the COCO 2017 panoptic dataset, I noticed that the files in the data and metrics folders do not seem to contain the complete content for the coco image panoptic segmentation. Additionally, while trying on videos, I encountered another error: "dataset_config = copy.deepcopy(dataset_configs.dataset_configs[ds_name]), KeyError: 'kittistep_vps'." Upon investigating the dataset_configs.py file, I discovered that it also does not include the configuration for panoptic segmentation.
Thanks.
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主题: Re: [google-research/pix2seq] How much time needed in the VOS task? (Issue #37)
overall time = encoder single pass time + decoder single pass time * iterations where iterations can be 5 or 50 with varying performances (see table 1 or figure 7 of https://arxiv.org/pdf/2210.06366.pdf).
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DDPM is known to be time-consuming and I am not sure if it is suitable for video segmentation tasks. So I wonder how much time is needed to for video object segmentation
The text was updated successfully, but these errors were encountered: