Computer Vision Pipeline for Drone Image Processing

Learn how to build a local web app for drone image processing. This demo showcases GPU-accelerated car counting using Docker and Claude Code.

Claude Code GitHub SpecKit Next Python Docker

Overview

With Claude Code and GitHub SpecKit, I built a local web app which allows me to upload images, define regions of interest, and spin up a docker container to process images from my drone to do things like count cars. The container is CUDA aware and uses the GPU for faster processing. Single image processing takes about 30 seconds per image (super easy to demo quickly)

Tech stack

Claude Code

Anthropic's agentic coding tool: Unleash Claude's raw power directly in your terminal or IDE to turn complex, hours-long workflows into a single command.

Claude Code is Anthropic’s powerful agentic coding assistant, designed for high-velocity development. It operates natively within your terminal, IDE (VS Code, JetBrains), or via a web interface, allowing you to delegate complex tasks like feature building, bug fixing, and codebase navigation. The agent plans, edits files, executes commands, and creates commits, maintaining awareness of your entire project structure. Internally, Anthropic engineers using Claude Code reported a 67% increase in productivity, demonstrating its capacity to deliver significant gains for Pro and Max plan users.

https://claude.com/code

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GitHub SpecKit

An open source toolkit for Spec-Driven Development that transforms natural language requirements into executable AI coding workflows.

GitHub SpecKit replaces unstructured vibe coding with a rigorous, four step workflow: Specify, Plan, Tasks, and Implement. By using the Specify CLI and custom slash commands (like /speckit.specify and /speckit.plan), developers establish a project constitution and living specifications that serve as the ground truth for AI agents. This framework integrates with GitHub Copilot, Claude Code, and Gemini CLI to ensure that generated code adheres to specific architectural constraints and business logic. It effectively moves the development focus from manual implementation to high level intent, reducing technical debt and streamlining complex greenfield or brownfield projects.

https://github.com/github/spec-kit

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Next

Next.js is the full-stack React framework: it delivers high-performance web applications via hybrid rendering and powerful, Rust-based tooling.

This is the React Framework for production: Next.js enables you to build full-stack web applications with zero configuration and maximum efficiency. It supports a hybrid rendering approach (Server-Side Rendering, Static Site Generation, and Incremental Static Regeneration) for optimal speed and SEO performance. Key features include React Server Components, Server Actions for running server code directly, and the App Router for advanced routing and nested layouts. Developed by Vercel, it leverages Rust-based tools like Turbopack and the Speedy Web Compiler for the fastest possible builds and a superior developer experience.

https://nextjs.org/

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Python

Python: The high-level, general-purpose language built for readability, powering everything from web backends to advanced machine learning models.

Python is the high-level, general-purpose language prioritizing clear, readable syntax (via significant indentation), ensuring rapid development for any team . Its ecosystem is massive: use it for robust web development with frameworks like Django and Flask, or leverage its power in data science with libraries such as Pandas and NumPy . The Python Package Index (PyPI) provides thousands of community-contributed modules, offering immediate solutions for tasks from network programming to GUI creation . The language is actively maintained by the Python Software Foundation (PSF), with the stable release currently at Python 3.14.0 (as of November 2025) .

https://python.org

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Docker

Docker is the open-source platform that packages applications and dependencies into standardized, portable containers for consistent execution across any environment.

Docker is the industry-standard containerization platform, enabling developers to build, ship, and run applications efficiently. It uses the Docker Engine (the core runtime) to create lightweight, isolated environments called containers: these units bundle an application’s code, libraries, and configuration. This self-contained approach guarantees consistency, eliminating the 'it works on my machine' problem across development, testing, and production environments (local workstations, cloud, or on-premises). Docker debuted in 2013 and now serves over 20 million developers monthly, simplifying complex workflows like CI/CD and microservices architecture by leveraging tools like Docker Hub for image sharing and Docker Compose for multi-container applications.

https://www.docker.com

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Computer Vision Pipeline for Drone Image Processing

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