Guides
Deployment & Integration Guides
Practical tutorials for self-hosting InsightFace Server, integrating its REST API and Python SDK, and converting, deploying, or validating face models.
Deploy InsightFace Server with Docker
Deploy InsightFace Server on CPU or CUDA with Docker, install a licensed model, run your first exact 1:N search, and secure persistent data.
Integrate InsightFace Server REST API and Python SDK
Integrate InsightFace Server with its REST API or Python SDK: create Collections, enroll identities, run exact 1:N search, retry safely, and monitor RTSP.
InsightFace 1.0 Tutorial: Local Face Recognition, Desktop GUI, and Enterprise Evaluation
Install the lighter InsightFace 1.0 package, launch the cross-platform Evaluation Studio, run local recognition workflows, organize albums, evaluate identity-folder datasets, and understand model licensing and privacy boundaries.
How to Run a Private InsightFace Recognition Model Test
A step-by-step guide for evaluators to benchmark InsightFace open-source and private recognition models against their own data, covering MOU prerequisites, image preparation, the Python client, and privacy controls.
Choosing a Face Recognition Model: 1:1, 1:N Testing, and Threshold Selection
A FRVT-aligned framework for choosing an InsightFace recognition model, building 1:1 and 1:N benchmarks, picking thresholds, and deciding when to upgrade from open-source packs to InsightFace commercial models.
Convert ONNX Face Models to TensorRT and OpenVINO
A production-oriented guide for converting InsightFace-style ONNX models into TensorRT engines and OpenVINO IR, with validation, precision choices, benchmarking, and deployment checks.