liuruijin17/LSTR
View on GitHubThis is an official repository of End-to-end Lane Shape Prediction with Transformers.
- Stars
- 662
- Forks
- 132
- Open beginner issues
- 0
- Indexed issues
- 33
- Dominant language
- Python
- License
- BSD-3-Clause
- Last GitHub push
- Dec 3, 2021
- Latest indexed
- Sep 19, 2026
- Contributing guide
- No contributing guide
- Code of conduct
- No code of conduct
- Beginner labels
- good first issue help wanted
- PR merge metrics
- No merged PRs in 30d
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Difficulty 5/5 Over a week Newbie friendliness 20/100
liuruijin17/LSTR#98 · 1 reaction ·
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Difficulty 5/5 Over a week Newbie friendliness 20/100
liuruijin17/LSTR#97 ·
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time complexity Open
Difficulty 5/5 Over a week Newbie friendliness 20/100
liuruijin17/LSTR#96 ·
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Bottleneck问题 Open
Difficulty 4/5 3-5 days Newbie friendliness 25/100
liuruijin17/LSTR#95 · 2 comments ·
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Difficulty 4/5 3-5 days Newbie friendliness 20/100
liuruijin17/LSTR#94 ·
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Difficulty 4/5 3-5 days Newbie friendliness 25/100
liuruijin17/LSTR#93 · 1 comment ·
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训练速度很慢,重写代码后训练不出效果来 Open
Difficulty 4/5 3-5 days Newbie friendliness 25/100
liuruijin17/LSTR#92 ·
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关于模型参数的一点疑问 Open
Difficulty 5/5 Over a week Newbie friendliness 15/100
liuruijin17/LSTR#91 · 1 comment ·
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Difficulty 3/5 1-2 days Newbie friendliness 25/100
liuruijin17/LSTR#90 ·
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Run.sh Open
Difficulty 3/5 1-2 days Newbie friendliness 25/100
liuruijin17/LSTR#89 ·
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Difficulty 4/5 3-5 days Newbie friendliness 20/100
liuruijin17/LSTR#86 ·
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Training stop Open
Difficulty 4/5 3-5 days Newbie friendliness 25/100
liuruijin17/LSTR#85 · 1 comment ·
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good first issue
Difficulty 2/5 1-3 hours Newbie friendliness 35/100
liuruijin17/LSTR#84 · 1 comment · 2 reactions ·
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Thank You! Open
Difficulty 1/5 Under an hour Newbie friendliness 1/100
liuruijin17/LSTR#83 · 1 comment · 1 reaction ·
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关于论文的一点小疑惑 Open
Difficulty 2/5 1-3 hours Newbie friendliness 25/100
liuruijin17/LSTR#82 ·
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Difficulty 3/5 1-2 days Newbie friendliness 25/100
liuruijin17/LSTR#81 ·
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Difficulty 3/5 1-2 days Newbie friendliness 28/100
liuruijin17/LSTR#80 ·
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Difficulty 3/5 1-2 days Newbie friendliness 35/100
liuruijin17/LSTR#79 ·
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Difficulty 1/5 Under an hour Newbie friendliness 48/100
liuruijin17/LSTR#78 ·
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Difficulty 3/5 1-2 days Newbie friendliness 25/100
liuruijin17/LSTR#77 · 2 comments ·
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测试用自己的数据集训练的模型 Open
Difficulty 4/5 3-5 days Newbie friendliness 25/100
liuruijin17/LSTR#76 · 2 comments ·
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Difficulty 4/5 3-5 days Newbie friendliness 30/100
liuruijin17/LSTR#75 ·
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Difficulty 4/5 3-5 days Newbie friendliness 35/100
liuruijin17/LSTR#74 · 3 comments ·
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Difficulty 5/5 Over a week Newbie friendliness 20/100
liuruijin17/LSTR#69 · 2 comments ·
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Difficulty 2/5 1-3 hours Newbie friendliness 25/100
liuruijin17/LSTR#68 · 1 comment ·
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Difficulty 4/5 3-5 days Newbie friendliness 15/100
liuruijin17/LSTR#62 · 1 comment ·
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CULane updates Opengood first issue
Difficulty 2/5 1-3 hours Newbie friendliness 25/100
liuruijin17/LSTR#61 · 1 comment ·
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Difficulty 1/5 Under an hour Newbie friendliness 20/100
liuruijin17/LSTR#60 · 6 comments ·
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Difficulty 5/5 Over a week Newbie friendliness 25/100
liuruijin17/LSTR#58 · 2 comments ·
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Is it possible to open source your self collected Forward View Lane (FVL) dataset used in the paper? Open
Difficulty 5/5 Over a week Newbie friendliness 15/100
liuruijin17/LSTR#57 · 2 comments ·
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help wanted
Difficulty 4/5 3-5 days Newbie friendliness 25/100
liuruijin17/LSTR#48 ·
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Difficulty 5/5 Over a week Newbie friendliness 15/100
liuruijin17/LSTR#35 · 5 comments ·
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Difficulty 5/5 Over a week Newbie friendliness 25/100
liuruijin17/LSTR#4 · 6 comments ·