Sam
Sam
过了比赛时间,官网的数据下载不了。可以提供一份或者邮箱[email protected],非常感谢!
i follow the steps using https://github.com/SamXiaosheng/unilm/tree/master/beit/semantic_segmentation, how to solve it?thanks advance.
thanks for your answer, i check the version of mmseg lib(mmcv-full==1.3.0 & mmsegmentation==0.14.1) ,mmsegmentation is higher verison , is it possible the problem?
请问训练好了,要怎么推理?可以有inferrence文件吗 ------------------ 原始邮件 ------------------ 发件人: "Gongjie ***@***.***>; 发送时间: 2022年4月18日(星期一) 下午3:25 收件人: ***@***.***>; 抄送: "生second ***@***.***>; ***@***.***>; 主题: Re: [ZhangGongjie/Meta-DETR] the training data of Meta fintuning how to extract? (Issue #19) Sorry, I...
if not NAME,than its deault backbone is ResNET? 发自我的iPhone ------------------ Original ------------------ From: Guangxing Han ***@***.***> Date: Thu,Nov 24,2022 0:43 AM To: GuangxingHan/Meta-Faster-R-CNN ***@***.***> Cc: Sam ***@***.***>, Author ***@***.***> Subject:...
Hello, i have some confusion about your project, the second step "sh scripts/faster_rcnn_with_fpn_coco_base_classes_branch.sh" and third step "scripts/few_shot_finetune_coco_resnet101.sh" have Superlative relationship? ------------------ 原始邮件 ------------------ 发件人: "Guangxing ***@***.***>; 发送时间: 2022年11月24日(星期四) 上午7:54 收件人: ***@***.***>; 抄送: "生second...
Hi, i found the second step use build_resnet_fpn_backbone and generated the final model with FPN module, but not used for third step. The third step use the pretraind model from the...
in the first stage , and when testing the few shot. 发自我的iPhone ------------------ Original ------------------ From: Guangxing Han ***@***.***> Date: Fri,Dec 9,2022 4:21 AM To: GuangxingHan/Meta-Faster-R-CNN ***@***.***> Cc: Sam ***@***.***>,...
[12/08 17:53:30] d2.data.datasets.coco INFO: Loading datasets/coco/annotations/instances_val2014.json takes 4.73 seconds. [12/08 17:53:30] d2.data.datasets.coco INFO: Loaded 40504 images in COCO format from datasets/coco/annotations/instances_val2014.json [12/08 17:53:33] d2.data.build INFO: Distribution of instances among all...
i modify cls_num = pred_cls.shape[0]#pred_cls.unique().shape[0] in fsod_fast_rcnn.py file line 108 ,and it can work.