huggingface/computer-vision-course
Oct 2024 – Oct 2024
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
Computer VisionData PreprocessingDeep LearningPyTorch
Arjun Bhammar
PROFILE
Arjun Bhammar
Worked on the huggingface/computer-vision-course repository to enhance the reliability of the image preprocessing pipeline, focusing on data integrity for deep learning workflows. Addressed a critical bug in the image transformation path by refactoring the one-hot encoding process to correctly handle both batch and single-image inputs. This solution ensured that pixel values are consistently stacked into tensors and that labels are properly one-hot encoded and aligned for model input, preventing misalignment issues during training. The work leveraged Python, Jupyter Notebook, and PyTorch, demonstrating a strong grasp of computer vision and data preprocessing best practices within a production codebase.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
1Total
Bugs
1
Commits
1
Features
0
Lines of code
60
Activity Months1
Your Network
11 peopleShared Repositories
11
Work History
October 2024
1 Commits
Oct 1, 2024October 2024 summary for hugingface/computer-vision-course focused on data pipeline reliability and correctness in image preprocessing. No new feature releases this month; however a critical bug fix was delivered to the image transformation path to support both batch and single-image inputs for one-hot encoding, ensuring proper tensor stacking and label encoding for model input.
1 Commits
Oct 1, 2024October 2024 summary for hugingface/computer-vision-course focused on data pipeline reliability and correctness in image preprocessing. No new feature releases this month; however a critical bug fix was delivered to the image transformation path to support both batch and single-image inputs for one-hot encoding, ensuring proper tensor stacking and label encoding for model input.
October 2024
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
Computer VisionData PreprocessingDeep LearningPyTorch
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