srivastavask/cvlab-ai
Jan 2025 – Feb 2025
2 Months active
Languages Used
Jupyter NotebookPython
Technical Skills
2D TransformationsComputer VisionData VisualizationMatplotlibMatrix OperationsNumPy
Uhimanshu9
PROFILE
Uhimanshu9
Himanshu Dahiya developed a suite of educational computer vision and image processing notebooks for the srivastavask/cvlab-ai repository, focusing on hands-on learning and reproducible workflows. He implemented 2D object transformation exercises using homogeneous coordinates and matrix operations, visualized with matplotlib, to support foundational computer vision concepts. In subsequent work, he delivered Jupyter notebooks demonstrating image resizing, blurring, grayscale conversion, thresholding, and segmentation, embedding explanatory notes and metadata to enhance clarity and reproducibility. Using Python, NumPy, and OpenCV, Himanshu’s contributions provided well-documented, ready-to-run resources that improved onboarding and enabled structured lab exercises for students and new team members.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
1,152
Activity Months2
Your Network
64 people
Work History
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for srivastavask/cvlab-ai focusing on delivering education-oriented computer vision demos and establishing a foundation for reproducible image processing workflows.
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for srivastavask/cvlab-ai focusing on delivering education-oriented computer vision demos and establishing a foundation for reproducible image processing workflows.
February 2025
January 2025
1 Commits • 1 Features
Jan 1, 2025Month: 2025-01 — Summary for srivastavask/cvlab-ai Key features delivered: 2D Object Transformations Notebook featuring homogeneous coordinates; includes translation, scaling, rotation, reflection, and shearing using matrix transformations; composites via matrix multiplication; visualization with matplotlib; supports computer vision lab exercises. Major bugs fixed: No major bugs reported this month; ensured notebook execution stability and reproducible visual outputs. Overall impact and accomplishments: Accelerated hands-on learning for CV concepts; provides ready-to-run, well-documented notebooks; lays groundwork for 3D extensions and more advanced labs; improved onboarding for new users and team collaboration. Technologies/skills demonstrated: Python, Jupyter notebooks, homogeneous coordinates, linear algebra, matrix transformations, matplotlib visualization, lab-oriented documentation, version-controlled collaboration.
January 2025
1 Commits • 1 Features
Jan 1, 2025Month: 2025-01 — Summary for srivastavask/cvlab-ai Key features delivered: 2D Object Transformations Notebook featuring homogeneous coordinates; includes translation, scaling, rotation, reflection, and shearing using matrix transformations; composites via matrix multiplication; visualization with matplotlib; supports computer vision lab exercises. Major bugs fixed: No major bugs reported this month; ensured notebook execution stability and reproducible visual outputs. Overall impact and accomplishments: Accelerated hands-on learning for CV concepts; provides ready-to-run, well-documented notebooks; lays groundwork for 3D extensions and more advanced labs; improved onboarding for new users and team collaboration. Technologies/skills demonstrated: Python, Jupyter notebooks, homogeneous coordinates, linear algebra, matrix transformations, matplotlib visualization, lab-oriented documentation, version-controlled collaboration.
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
2D TransformationsComputer VisionData VisualizationImage ProcessingMachine LearningMatplotlibMatrix OperationsNumPyOpenCVScikit-learn
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