Arktask

C 61 completed
Other
unknown / objective-c · tiny
39
Files
4,280
LOC
0
Frameworks
3
Languages

Pipeline State

completed
Run ID
#981711
Phase
done
Progress
0%
Started
2026-04-15 09:29:28
Finished
2026-04-15 09:29:28
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
38.94
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #49102
Member of a group with 47 similar repo(s) — canonical #1436145 view group →
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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

objective-c
71.3%
python
27.9%
markdown
0.9%

Frameworks

None detected

Symbols

variable73
function27
constant22

Quality Timeline

1 quality score recorded.

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BinComp Dependency Hardening

All packages →
3 of this repo's dependencies have been scanned for binary hardening. Grade reflects RELRO / stack canary / FORTIFY / PIE coverage.
Cmatplotlib3.10.8 · 2,481 gadgets · risk 0.0Fnumpy2.4.4 · 6,596 gadgets · risk 0.0Fscipy1.17.1 · 21,805 gadgets · risk 0.0