Open lzhnb opened 4 years ago
As for mask head, we used Detectron.pytorch.
And the coco_dataset? It seems need to convert coco into voc's type
@lzhnb Would you also like to reproduce the result in COCO dataset or COCO to VOC setting? Maybe we can tackle it together. Here is my email ze.yang@cuhk.edu.hk
@lzhnb Would you also like to reproduce the result in COCO dataset or COCO to VOC setting? Maybe we can tackle it together. Here is my email ze.yang@cuhk.edu.hk
I can't send email to you, and my email is liang13268932888@outlook.com
Sorry. There is a small mistake with my email. The correct one is zeyang@cuhk.edu.hk. Thanks.
Best, Ze
------------------ 原始邮件 ------------------ 发件人: "lzhnb"<notifications@github.com>; 发送时间: 2019年10月27日(星期天) 下午2:08 收件人: "yanxp/MetaR-CNN"<MetaR-CNN@noreply.github.com>; 抄送: "也许べ已没有也许"<981435961@qq.com>;"Comment"<comment@noreply.github.com>; 主题: Re: [yanxp/MetaR-CNN] Mask heads and COCO_dataset_api (#9)
@lzhnb Would you also like to reproduce the result in COCO dataset or COCO to VOC setting? Maybe we can tackle it together. Here is my email ze.yang@cuhk.edu.hk
I can't send email to you, and my email is liang13268932888@outlook.com
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Hi @yanxp, could you clarify which mask branch fashion of detectron are you using in your model, as mask branch of detectron has many alternatives. Looking forward to your reply :-)
Hi @yanxp , can you please explain how you got your COCO instance segmentation results in your paper? I cannot find the code related to that. Thank you so much in advance :)
I've convert the coco_dataset into voc_type, but i meet some trouble during training.
Can you complete the model with mask heads and the metadataset api for coco_dataset, if you can release the coco_task's weight, i'll be very thankful.
Thanks