Learn OPENCV with Real Code Examples

Use NumPy arrays for fast image computations

Leverage vectorized operations instead of loops

GPU acceleration can dramatically improve speed

Reduce image resolution for faster processing

Profile code to identify bottlenecks

Sanitize user-uploaded images to prevent vulnerabilities

Avoid exposing sensitive data in processed images

Ensure safe use of camera/video devices

Validate model inputs for correct dimensions and types

Use secure storage for pre-trained models

Track processing speed and memory usage

Log detection accuracy metrics

Visualize intermediate results

Benchmark against standard datasets

Compare multiple algorithms for efficiency

Use modular scripts and functions

Document preprocessing and detection steps

Use version control for models and datasets

Test pipeline reproducibility

Follow Python/C++ style guides