Commit 1f78b76
feat(docker): add per-engine Docker dev environments (#649)
Replace the single legacy Dockerfile (rapidocr_api only) with 7
per-engine development images covering all supported inference backends:
- onnxruntime-cpu: ONNX Runtime on CPU (python:3.10-slim-bookworm)
- onnxruntime-gpu: ONNX Runtime with CUDA (nvidia/cuda:12.4.1)
- tensorrt: NVIDIA TensorRT (nvcr.io/nvidia/deepstream:7.0-gc-triton-devel)
- paddle: PaddlePaddle CPU
- openvino: Intel OpenVINO
- pytorch: PyTorch CPU
- mnn: Alibaba MNN
Infrastructure:
- Dockerfile.base: shared foundation for CPU variants
- docker-compose.yaml: all 7 services with shared model volume
- Makefile: make build-*/test-*/shell-* convenience commands
- .dockerignore: excludes .git, models, build artifacts
Key design decisions:
- PYTHONPATH-based imports (setup.py incompatible with pip editable install)
- Named volume (rapidocr-models) for persistent model cache across rebuilds
- Source bind-mounted at runtime for live editing
- tensorrt pinned to 8.6.x + cuda-python 12.x (matching DeepStream 7.0)
All 7 images built and tested with full OCR pipeline inference.
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>1 parent 8ea9626 commit 1f78b76
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