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license: mit |
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tags: |
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- computer-vision |
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- numpy |
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- matplotlib |
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- opencv |
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- beginner-friendly |
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language: en |
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# Computer Vision Learning Notebooks |
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## Summary |
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A beginner-friendly collection of notebooks that introduce the **fundamentals of Computer Vision (CV)**. |
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Designed for both **technical and non-technical learners**, these notebooks focus on simple explanations, visual examples, and hands-on practice. |
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## Current Notebooks |
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- **Notebook 1** → Images as arrays with **NumPy** (understanding pixels). |
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- **Notebook 2** → Working with real images (loading, resizing, color channels). |
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- **Notebook 3** → Basic image transformations and manipulations. |
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- **Notebook 4** → Shapes and text on image (understanding bounding box) |
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## Next Steps (In Progress) |
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## Who Is This For? |
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- Students starting their CV journey. |
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- Non-technical learners curious about how machines see images. |
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- Developers looking for a smooth step before advanced CV/Deep Learning. |
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