Computer Vision Services
Dockerised CV microservices built on PyTorch, TensorFlow, and PaddlePaddle — covering classification, segmentation, and keypoint detection, ready to drop into any pipeline.
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Dockerised CV microservices built on PyTorch, TensorFlow, and PaddlePaddle — covering classification, segmentation, and keypoint detection, ready to drop into any pipeline.
End-to-end video analytics pipeline powered by AI and deep learning. Handles real-time scene understanding, object tracking, and event-driven alerts at scale.
Exploration of modern multi-agent protocols — MCP, ACP, and A2A — with comparisons of architectures and real-world applicability.
A curated collection of practical Python recipes for image processing with OpenCV — filtering, transforms, contour analysis, and feature extraction.
Recent writing
“Everything should be made as simple as possible, but not simpler.” — Albert Einstein
Overview This guide explores how intelligent systems can be structured using workflows (deterministic flows) and agents (autonomous decision-makers). Workflows ensure reproducible outcomes, while agents enable adaptability, reasoning, and...
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