feat: add ONNX and TensorRT export scripts with parity testing - #1
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Complexity-ML merged 2 commits intoAug 12, 2026
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- export_onnx.py: export detector to ONNX with metadata and optional simplification - test_onnx_parity.py: verify numerical parity between PyTorch and ONNX outputs - export_tensorrt.py: build TensorRT engine with FP16 support via ModelOpt AutoCast (TRT 11.x compatible) Tested on GTX 1660 (Turing): ONNX parity: max_diff ~1e-6 (FP32), ~4e-3 (FP16) TensorRT FP32: 1.40ms / 715 FPS TensorRT FP16: 1.58ms / 635 FPS
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Tested on GTX 1660 (Turing):
ONNX parity: max_diff ~1e-6 (FP32), ~4e-3 (FP16)
TensorRT FP32: 1.40ms / 715 FPS
TensorRT FP16: 1.58ms / 635 FPS