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--- |
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library_name: onnxruntime |
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tags: |
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- onnx |
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- sharp |
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- view-synthesis |
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- 3d-gaussian-splatting |
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base_model: apple/Sharp |
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--- |
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# SHARP (NDC) — ONNX exports (FP32 + INT8) |
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This repo contains ONNX exports of Apple’s SHARP model **predictor** that outputs **NDC-space 3D Gaussians**. |
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## What’s included |
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- **FP32 (opset18, external data)**: `onnx/fp32/sharp_ndc_opset18.onnx` (+ `.onnx.data`) |
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- **INT8 Dynamic (QDQ)**: `onnx/int8_dynamic/sharp_ndc_opset18_int8_dynamic.onnx` (+ optional `.onnx.data`) |
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> **External data note:** if a model has a `.onnx.data` file, it **must** stay in the same folder as its `.onnx`. |
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## I/O contract (all variants) |
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Inputs: |
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- `image_resized_pt`: float32 `[1, 3, 1536, 1536]` (NCHW, RGB, normalized to [0,1], resized bilinear with align_corners=True) |
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- `disparity_factor`: float32 `[1]` computed as `f_px / width_original` |
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Outputs (float32): |
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- `mean_vectors`: `[1, 1179648, 3]` |
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- `singular_values`: `[1, 1179648, 3]` |
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- `quaternions`: `[1, 1179648, 4]` |
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- `colors`: `[1, 1179648, 3]` |
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- `opacities`: `[1, 1179648]` |
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## Notes |
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- These ONNX models output **NDC Gaussians** only. Converting to metric space / writing `.ply` can be done outside ONNX. |
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- See `metadata/` for manifests and parity metrics. |
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## License |
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This repository contains model derivatives (ONNX conversions). See `LICENSE`. |
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