---
license: apache-2.0
library_name: unity-sentis
tags:
  - unity
  - sentis
  - on-device
  - object-detection
  - yolox
---

# sentis-yolox

YOLOX object detection converted to **Unity Inference Engine (Sentis)** FP16.

## Files

```
yolox_fp16.sentis
YoloxDetector.cs    # self-contained Unity Sentis inference (COCO labels)
```

## Model I/O

- **Input:** RGB NCHW `[1, 3, S, S]` in `[0, 1]` (read `S` from the model; the `[0,1]→[0,255]` scale is
  baked into the export). YOLOX is typically trained BGR, so a R↔B swizzle is usually needed.
- **Output:** one tensor `[1, N, 5+C]` (or `[1, 5+C, N]`) where each candidate is
  `[cx, cy, w, h, objectness, class_0..class_{C-1}]`, scores already sigmoid-activated and boxes in
  input-pixel coordinates (export with the grid/stride decode baked in). NMS runs on the C# side.

## Inference

A complete self-contained implementation lives in [`YoloxDetector.cs`](YoloxDetector.cs) (texture →
tensor with optional R↔B swizzle, layout auto-detection, scoring, class-wise NMS, GPU warmup, 80 COCO
labels inlined). Minimal usage:

```csharp
var detector = new YoloxDetector(BackendType.GPUCompute);
detector.Load(modelRoot);                                  // folder holding yolox_fp16.sentis
List<YoloxDetector.Detection> dets = await detector.DetectAsync(frameTexture); // boxes in input-pixel space
```

> Do not substitute Ultralytics weights (`yolo*`), which are **AGPL-3.0**. This repo ships YOLOX only.

## License & attribution

Apache-2.0. Converted from [Megvii-BaseDetection/YOLOX](https://github.com/Megvii-BaseDetection/YOLOX)
(Apache-2.0).