How to Blur a Bounding Box in Python
Blog post from Roboflow
James Gallagher's guide provides an in-depth explanation of how to blur a bounding box in Python using the cv2 library, aimed at obscuring sensitive information like faces or license plates in images. The process involves obtaining the coordinates for each corner of a bounding box around a prediction made by a computer vision model and applying a Gaussian blur to the designated area. The article describes using a model that predicts cars and pedestrians, focusing on blurring pedestrian data while preserving vehicle information. Gallagher also introduces Roboflow Universe, a platform offering pre-existing models and datasets, and explains how to retrieve predictions with a confidence level above 50% to ensure accuracy. The guide concludes by emphasizing the practical applications of this technique in maintaining privacy and data protection in various image processing scenarios.
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