How Images Convert to Input Tensors | Computer Vision Explained for AI Engineers

In this video, we break down how images are converted into input tensors before being processed by neural networks. Topics covered: RGB vs Grayscale image representation Pixel matrices and numerical encoding Normalization and scaling Tensor dimensions (Height × Width × Channels) How CNNs consume image tensors How Vision Transformers tokenize images Why tensor structure matters in real-time AI systems This concept is foundational for: • Computer Vision • Deep Learning • Multimodal LLMs • ADAS systems • Automotive AI • Software Defined Vehicles If you want to build production-grade AI …