# 07 - Building CV Pipelines: OpenCV Integration with PyTorch

Complete guide to Building CV Pipelines: OpenCV Integration with PyTorch: architecture, practical implementation and best practices for developers and technical teams.

## What you'll learn

- 1.1 Color Spaces and Conversions
- 2.1 VideoCapture with Frame Buffer Management
- 6.1 PyTorch Profiler for CV Pipelines
- 6.2 OpenCV with CUDA Acceleration

*This article is part of the **Computer Vision** series on federicocalo.dev.*

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## Read the full article

The complete article (17 min read) with code examples, diagrams, and practical exercises is available here:

**➡️ [07 - Building CV Pipelines: OpenCV Integration with PyTorch](https://federicocalo.dev/en/blog/building-cv-pipelines-opencv-integration-pytorch)**

`https://federicocalo.dev/en/blog/building-cv-pipelines-opencv-integration-pytorch`

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*By [Federico Calò](https://federicocalo.dev) — Software Developer & Technical Writer*
