PIPClass是一个基于ViT（Vision Transformer）模型的Python类，专为图像分类设计。它不仅可以快速识别图像中的内容，还能提供详细的分类得分，帮助用户更好地理解模型的判断依据。PIP_ClassV1 模型是基于ViT-B/16预训练模型，在动漫、非人类、真人、三个类别上进行全量微调训练。
active 2024-11-27 → 2025-12-07 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 376 days from 2024-11-27 to 2025-12-07. Pushes: 15 total, peak 7 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: 12 total, peak 2 in a day.
- Pushes
- Pull requests
- Issues
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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
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| chenpipi0807 | 15 | 15 | 0 | 0 |
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 — 12 stars here means stars gained during the window, not the repo's star count.