Ecosyste.ms: Issues
An open API service for providing issue and pull request metadata for open source projects.
GitHub / wjf5203/seqformer issues and pull requests
#26 - About the dataset
Issue -
State: open - Opened by yk-pku 4 months ago
#26 - About the dataset
Issue -
State: open - Opened by yk-pku 4 months ago
#25 - Using Inference Issue
Issue -
State: open - Opened by vinay06vinay about 1 year ago
#25 - Using Inference Issue
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State: open - Opened by vinay06vinay about 1 year ago
#24 - Thank you for your wonderful work!I want to know how to get quantitative results locally without uploading them to the server.
Issue -
State: open - Opened by shuangkouyizu over 2 years ago
#24 - Thank you for your wonderful work!I want to know how to get quantitative results locally without uploading them to the server.
Issue -
State: open - Opened by shuangkouyizu over 2 years ago
#23 - where are the dataset annotation from?
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State: closed - Opened by ZhaochongAn over 2 years ago
#23 - where are the dataset annotation from?
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State: closed - Opened by ZhaochongAn over 2 years ago
#22 - inference error
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State: open - Opened by lywang76 over 2 years ago
#22 - inference error
Issue -
State: open - Opened by lywang76 over 2 years ago
#21 - Remove find_unused_parameters
Pull Request -
State: open - Opened by timmeinhardt over 2 years ago
#21 - Remove find_unused_parameters
Pull Request -
State: open - Opened by timmeinhardt over 2 years ago
#20 - Missing time_attention_weights from T=1 model files
Issue -
State: open - Opened by timmeinhardt over 2 years ago
- 2 comments
#20 - Missing time_attention_weights from T=1 model files
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State: open - Opened by timmeinhardt over 2 years ago
- 2 comments
#19 - Default inference paths wrong
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State: open - Opened by timmeinhardt almost 3 years ago
#19 - Default inference paths wrong
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State: open - Opened by timmeinhardt almost 3 years ago
#18 - How to get the coco_keepfor_ytvis19.json?
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State: closed - Opened by NingYuanxiang almost 3 years ago
- 1 comment
#18 - How to get the coco_keepfor_ytvis19.json?
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State: closed - Opened by NingYuanxiang almost 3 years ago
- 1 comment
#17 - How about the performance when replacing Deformable DETR to the original DETR?
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State: open - Opened by jiangzhengkai almost 3 years ago
#17 - How about the performance when replacing Deformable DETR to the original DETR?
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State: open - Opened by jiangzhengkai almost 3 years ago
#16 - how long does it take for pretraining on COCO?
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State: closed - Opened by Christinepan881 almost 3 years ago
- 1 comment
#16 - how long does it take for pretraining on COCO?
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State: closed - Opened by Christinepan881 almost 3 years ago
- 1 comment
#15 - running on custom dataset
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State: closed - Opened by andreaceruti almost 3 years ago
- 1 comment
#15 - running on custom dataset
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State: closed - Opened by andreaceruti almost 3 years ago
- 1 comment
#14 - Hi, can you please realese the remained pretrained weights of Swin Transformer?
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State: closed - Opened by xiaocc612 almost 3 years ago
- 1 comment
#14 - Hi, can you please realese the remained pretrained weights of Swin Transformer?
Issue -
State: closed - Opened by xiaocc612 almost 3 years ago
- 1 comment
#13 - time for training one epoch ?
Issue -
State: closed - Opened by an99990 about 3 years ago
- 1 comment
#13 - time for training one epoch ?
Issue -
State: closed - Opened by an99990 about 3 years ago
- 1 comment
#12 - The test score is 0.0
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State: closed - Opened by jangeunha1119 about 3 years ago
- 1 comment
#12 - The test score is 0.0
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State: closed - Opened by jangeunha1119 about 3 years ago
- 1 comment
#11 - About GPU RAM requirements
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State: closed - Opened by wenhe-jia about 3 years ago
- 1 comment
#10 - How to get the pretained weight --pretrain_weights weights/r50_weight.pth
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State: closed - Opened by wangbo-zhao about 3 years ago
- 2 comments
#9 - Not able to reproduce the results
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State: open - Opened by OmkarThawakar about 3 years ago
- 2 comments
#8 - Why 42 classes?
Issue -
State: closed - Opened by acaelles97 about 3 years ago
- 3 comments
#7 - Facing issue while installing Pycocotools
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State: closed - Opened by DeepranjanG about 3 years ago
- 1 comment
#6 - format issue of the released r50 model weight
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State: closed - Opened by shepnerd about 3 years ago
- 1 comment
#5 - How to get a predicted video or gif?
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State: open - Opened by 459737087 about 3 years ago
#4 - An error occurs when training SeqFormer on YouTube-VIS 2019 and COCO 2017 jointly
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State: closed - Opened by liangzhiyuanCV about 3 years ago
- 1 comment
#3 - GPU memory requirements
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State: closed - Opened by andreaazzini about 3 years ago
- 2 comments
#2 - OOM when training SeqFormer_swin_L on YouTube-VIS 2019 and COCO
Issue -
State: closed - Opened by JiaDingCN about 3 years ago
- 2 comments
#1 - Why frustratingly?
Issue -
State: closed - Opened by ykk648 about 3 years ago
- 2 comments