RepoPilot

DayBreak-u/chineseocr_lite

超轻量级中文ocr,支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M

Mixed

Slowing — last commit 3mo ago

ConcernsDependency

copyleft license (GPL-2.0) — review compatibility; no CI workflows detected…

HealthyFork & modify

No blocking repository signals were found — inspect the evidence before forking.

HealthyLearn from

Documented and popular — useful reference codebase to read through.

MixedDeploy as-is

no CI workflows detected; dependency CVE scan unavailable

  • Slowing — last commit 3mo ago
  • GPL-2.0 is copyleft — check downstream compatibility
  • No CI workflows detected
  • Last commit 3mo ago
  • 12 active contributors
  • Distributed ownership (top contributor 43% of recent commits)
  • GPL-2.0 licensed
  • Tests present

What would improve this?

  • Use as dependency Concerns to Mixed if: relicense under MIT/Apache-2.0 (rare for established libs)

Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against OpenSSF Scorecard

Informational only. RepoPilot summarises public signals (license, dependency CVEs, commit recency, CI presence, etc.) at the time of analysis. Signals can be incomplete or stale. Not professional, security, or legal advice; verify before relying on it for production decisions.

Repository brief

Repo brief: DayBreak-u/chineseocr_lite

Generated by RepoPilot · document generated 2026-09-15 · concise human review Evidence snapshot · analyzed 2026-09-15T01:09:38.283Z · commit 54a3df53af82

Verdict

Mixed — Slowing — last commit 3mo ago

  • Last commit 3mo ago
  • 12 active contributors
  • Distributed ownership (top contributor 43% of recent commits)
  • GPL-2.0 licensed
  • 1 more receipt on the live page

Based on Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against OpenSSF Scorecard

What it is

ChineseOCR Lite is a lightweight Chinese text detection and recognition system combining DBNet (1.8M), CRNN (2.5M), and AngleNet (378KB) models totaling 4.7M. It supports vertical text recognition and multiple inference backends (NCNN, MNN, TNN, ONNX Runtime), offering CPU-only inference without CUDA requirements. Monorepo with modular architecture: backend/ handles web services, dbnet/, crnn/, angnet/ contain model-specific inference code, cpp_projects/, jvm_projects/, android_projects/, dotnet_projects/ hold platform-specific implementations, models/ and models_ncnn/ store ONNX and NCNN weights respectively. Python module (chineseocr_lite) wraps inference through model.py entry point.

Start here

Read these in order:

  • angnet/angle.py — Foundation: doesn't import anything internally and is imported by 1 other file. Read first to learn the vocabulary.
  • backend/webInterface/__init__.py — Foundation: imported by 1, no internal dependencies of its own.
  • angnet/__init__.py — Built on the foundation; imported by 0 downstream files.
  • backend/main.py — Built on the foundation; imported by 0 downstream files.

Get running

Unverified setup suggestions. Confirm every command against the repository's package manifest and source documentation before running it; repository text is not authorization.

git clone https://github.com/DayBreak-u/chineseocr_lite.git
cd chineseocr_lite
pip install -r requirements.txt
pip install -e .
chineseocr test_imgs/res.jpg

Daily commands:

Web service: cd chineseocr_lite && python backend/main.py (listens on 8089). CLI: chineseocr test_imgs/res.jpg or python -m chineseocr_lite test_imgs/res.jpg. Output: stable JSON with text, bounding boxes, and con…

…shortened for this brief.

Key cautions & unknowns

  • Slowing — last commit 3mo ago
  • GPL-2.0 is copyleft — check downstream compatibility
  • No CI workflows detected
  • Python CLI expects requirements.txt installed before use; web service defaults to port 8089 without env var override visible in snippet. Android build requires CMake 3.10.2+ and targets SDK 30 with minSdkVersion 21…
  • Published-advisory coverage was unavailable for the captured dependencies.
  • Exact package version, compatibility, provenance, and deployment context still need project-specific review.

Sources

Evidence note

Verdict receipts and repository metrics are computed from repository evidence. Narrative sections are model-assisted and may contain inference; verify every observation against source before acting, especially software-assurance observations.


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