onnx-tensor-math
CommunityTurn images into ONNX-ready tensors fast.
Authorsparkeh9
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Preprocesses an image into a normalized 1x3x640x640 float32 tensor suitable for ONNX RT-DETR inference in .NET.
Core Features & Use Cases
- High-performance image-to-tensor preprocessing using SkiaSharp and unsafe memory access.
- Supports 640x640 RGB input with a [1,3,640,640] (NCHW) layout and deterministic normalization.
- Enforces standard normalization: scale 1/255, mean [0.485, 0.456, 0.406], std [0.229, 0.224, 0.225].
- Cross-platform and memory-safe resource handling with explicit disposal of SkiaSharp objects.
- Use Case: prepare frames from images or video streams for RT-DETR layout inference in .NET.
Quick Start
Instantiate a SkiaSharp bitmap, resize to 640x640, and convert to a 1x3x640x640 float tensor using the specified mean and std.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
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Please help me install this Skill: Name: onnx-tensor-math Download link: https://github.com/sparkeh9/DoclingDotNet/archive/main.zip#onnx-tensor-math Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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