Arktask
C 61 completed
Other
unknown / objective-c · tiny
39
Files
4,280
LOC
0
Frameworks
3
Languages
Pipeline State
completedRun ID
#981711Phase
doneProgress
0%Started
2026-04-15 09:29:28Finished
2026-04-15 09:29:28LLM tokens
0Pipeline Metadata
Stage
SkippedDecision
skip_scaffold_dupNovelty
38.94Framework unique
—Isolation
—Last stage change
2026-04-16 18:15:42Deduplication group #49102
Member of a group with 47 similar repo(s) — canonical #1436145 view group →
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🧪 Code Distillation
Browse all specs →AI Prompt
Create a project structure for an aerial robotics perception task submission. I need to organize three distinct computer vision assignments: drone line following using MATLAB/Simulink, image cleaning and denoising using Python, and medial axis detection using Python/Jupyter notebooks. The Python section should include implementations for Otsu binarization and various noise filtering techniques. For the medial axis task, I specifically need to incorporate a custom Hough Line Transform. Please structure the code examples and provide setup instructions, noting the required dependencies like opencv-python, numpy, and MATLAB.
computer-vision python matlab jupyter image-processing robotics opencv signal-processing machine-learning
Generated by gemma4:latest
Catalog Information
Create a project structure for an aerial robotics perception task submission. I need to organize three distinct computer vision assignments: drone line following using MATLAB/Simulink, image cleaning and denoising using Python, and medial axis detection using Python/Jupyter notebooks. The Python section should include implementations for Otsu binarization and various noise filtering techniques. For the medial axis task, I specifically need to incorporate a custom Hough Line Transform. Please str
Tags
computer-vision python matlab jupyter image-processing robotics opencv signal-processing machine-learning
Quality Score
C
60.6/100
Structure
51
Code Quality
63
Documentation
57
Testing
40
Practices
68
Security
100
Dependencies
80
Strengths
- Good security practices — no major issues detected
Weaknesses
- No LICENSE file — legal ambiguity for contributors
- No CI/CD configuration — manual testing and deployment
- 909 duplicate lines detected — consider DRY refactoring
- 1 'god files' with >500 LOC need decomposition
Recommendations
- 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)
Languages
Frameworks
None detected
Symbols
variable73
function27
constant22
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BinComp Dependency Hardening
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