CVServe

Containerized CV inference service that loads models and scores via API.

Problem

Shipping computer vision models often requires bespoke services per model, which slows iteration and makes deployment inconsistent across teams.

Solution

CVServe packages multiple CV models into a single containerized service with a unified API. It supports model hot‑swap, reproducible deployments, and low‑latency inference at scale.

Tech Stack

• Docker
• FastAPI
• PyTorch
• ONNX

Phases

Phase 1

• Model loading and API‑based inference endpoints
• Standardized request/response schema

Phase 2

• Multi‑model management and versioning
• Performance tuning and scalable deployment patterns

Status

In progress.