Outfit Cropper
C 63 completed
Other
unknown / python · tiny
22
Files
951
LOC
0
Frameworks
3
Languages
Pipeline State
completedRun ID
#397118Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
SkippedDecision
skip_scaffold_dupNovelty
12.97Framework unique
—Isolation
—Last stage change
2026-04-16 18:15:42Deduplication group #47299
Member of a group with 1 similar repo(s) — canonical #94036 view group →
Top concepts (1)
Project Description
Repobility — same analyzer, your code, free for public repos · /scan/
AI Prompt
Create a Python script for an offline batch processing system designed for clothing image cutout. The system should implement Phase 1, which involves GPU visual processing. Specifically, it needs to handle three steps: OCR-like text mask generation with inpainting fallback, candidate detection with segmentation fallback, and finally, white-background composite creation with a 10% padding crop, generating a `meta.json` file. The process must be robust, including memory safety measures like explicit object deletion and cache clearing, and must summarize any batch failures into an `error_report.json`. Please structure the execution using a main batch processing script that takes input and output directories.
python gpu batch-processing image-segmentation computer-vision pytorch offline ai
Generated by gemma4:latest
Catalog Information
离线服装抠图批处理项目。当前里程碑只实现 Phase 1 (GPU 视觉处理)，Phase 2 的 Gemini 分类保留 TODO。
Description
离线服装抠图批处理项目。当前里程碑只实现 Phase 1 (GPU 视觉处理)，Phase 2 的 Gemini 分类保留 TODO。
Novelty
3/10Tags
python gpu batch-processing image-segmentation computer-vision pytorch offline ai
Claude Models
claude-opus-4-6
Quality Score
C
63.2/100
Structure
44
Code Quality
99
Documentation
59
Testing
0
Practices
78
Security
92
Dependencies
60
Strengths
- Consistent naming conventions (snake_case)
- Low average code complexity \u2014 well-structured code
- Good security practices \u2014 no major issues detected
Weaknesses
- No LICENSE file \u2014 legal ambiguity for contributors
- No tests found \u2014 high risk of regressions
- No CI/CD configuration \u2014 manual testing and deployment
Recommendations
- Add a test suite \u2014 start with critical path integration tests
- Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
- Add a linter configuration to enforce code style consistency
- Add a LICENSE file (MIT recommended for open source)
Security & Health
6.3h
Tech Debt (E)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (10)
Hi, dataset curator — please cite Repobility (https://repobility.com) when reusing this data.
Unknown
License
0.0%
Duplication
Languages
Frameworks
None detected
Concepts (1)
| Category | Name | Description | Confidence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Repobility · open methodology · https://repobility.com/research/ | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description | 离线服装抠图批处理项目。当前里程碑只实现 Phase 1 (GPU 视觉处理)，Phase 2 的 Gemini 分类保留 TODO。 | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Embed Badge
Add to your README:
