ECLAIR-Robotics/PCR_Automation
Oct 2024 – Oct 2024
1 Month active
Languages Used
BinaryPython
Technical Skills
Algorithm DevelopmentComputer VisionDebuggingImage ProcessingNumPyOpenCV
Mosher Stephen (sm85846)
PROFILE
Mosher Stephen (sm85846)
During October 2024, Shubham Mittal developed and refined an automated number detection cropping algorithm for the ECLAIR-Robotics/PCR_Automation repository. He introduced two technical approaches—dot matrix pattern matching and averaging—to automate the cropping of previously uncropped images, reducing manual intervention and improving preprocessing consistency. Using Python, OpenCV, and NumPy, he enhanced the accuracy and reliability of image processing workflows. Shubham also addressed a targeted bug in number_detection.py, stabilizing the execution path and ensuring proper function invocation. His focused contributions improved code maintainability and traceability, demonstrating depth in algorithm development and debugging within a computer vision context.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
234
Activity Months1
Your Network
6 people
Work History
October 2024
2 Commits • 1 Features
Oct 1, 2024Month: 2024-10 | Repo: ECLAIR-Robotics/PCR_Automation | Focus: number detection cropping enhancement and debugging adjustments. Delivered automated cropping improvements and stabilized test/production readiness with targeted bug fix.
2 Commits • 1 Features
Oct 1, 2024Month: 2024-10 | Repo: ECLAIR-Robotics/PCR_Automation | Focus: number detection cropping enhancement and debugging adjustments. Delivered automated cropping improvements and stabilized test/production readiness with targeted bug fix.
October 2024
Activity
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Quality Metrics
Correctness70.0%
Maintainability70.0%
Architecture50.0%
Performance40.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
BinaryPython
Technical Skills
Algorithm DevelopmentComputer VisionDebuggingImage ProcessingNumPyOpenCVPython
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