本项目利用 Meta 的 SAM3 模型实现高精度的树木分割，支持处理超大规模图像（测试使用 10000×10000 像素），通过分块处理和多重过滤策略获得高质量的分割结果。项目采用零样本学习方式，无需训练数据即可直接进行树木检测和分割，支持多次迭代处理利用历史结果作为先验知识持续优化精度，可广泛应用于林业资源调查、城市绿化统计、农业作物监测、生态评估分析等场景，
active 2026-03-08 → 2026-03-08 (UTC)
Activity over time
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Line chart, 1 days from 2026-03-08 to 2026-03-08. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
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- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
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Recent activity
Latest issues, pull requests and releases
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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.