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PlateTruth 是一个基于对比学习的套牌车识别系统。它将车辆图片通过 ResNet 提取为 512 维特征向量,利用余弦相似度判断两张图片是否属于同一辆车。项目提供从数据准备、模型训练、ONNX 导出到 FastAPI 部署的完整流水线,支持 PyTorch 训练与 ONNX Runtime 推理两种模式,可直接 Docker 部署。适用于安防监控、卡口布控、克隆车稽查等场景。

active 2026-07-262026-07-26 (UTC)

Complete coverage27,209 / 27,211 hourly files (100%) · 2 absent upstream2023-08-152026-09-21 (UTC)
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Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2026-07-26 to 2026-07-26. 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.

  • Pushes
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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

Nobody pushed, opened or commented here in the loaded window — this repo's activity is stars and forks only.

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

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.