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Hi.

Welcome to Sensory Intel! Here, I document Image Processing, Computer Vision, Perception and Computational Photography Algorithms that can directly or indirectly aid or use ‘Sensory Intel’.

CNN Number Detection

CNN Number Detection

zanker99

A basic CNN model was generated using Keras/Tensorflow in Python, to detect house numbers 0 to 9. Training included samples of numbers and non-numbers.

This NumPy pipeline for house number detection involved blob detection, number region localization, shape correction, character size constraints, size conversion, number detection with trained CNN model and non-maximal suppression.

The outputs show the number region detected in green boxes and the number itself is provided in red below each green box. These outputs show that the CNN model works at different scales, orientation and illumination.

ViT vs CNN Classification

ViT vs CNN Classification
Marker Detection

Marker Detection