v0.1.0

First release of CoralAPI, an HTTP inference service for Google Coral Edge TPUs. POST an image and a model name; get JSON back.

Tasks

• Classification
• Object detection (SSD and YOLO)
• Semantic segmentation
• Pose estimation
• Image embeddings
• Raw output tensors for any other model

Runtime and deploy

• Current Python, with a matched libedgetpu and tflite that work together
• Build profiles for AVX2 x86, no-AVX2 x86, and Raspberry Pi (armhf)
• Per-request model selection with on-demand download and label auto-fetch
• Async jobs, optional Prometheus metrics, device rebind via POST /v1/reset
• One instance per TPU for multi-TPU hosts

No CPU fallback by design; a running instance always means real acceleration.