|
|
@@ -73,6 +73,18 @@ YOLOv12 surpasses all popular real-time object detectors in accuracy with compet
|
|
|
| [YOLO12l](https://github.com/sunsmarterjie/yolov12/releases/download/v1.0/yolov12l.pt) | 640 | 53.7 | 6.77 | 26.4 | 88.9 |
|
|
|
| [YOLO12x](https://github.com/sunsmarterjie/yolov12/releases/download/v1.0/yolov12x.pt) | 640 | 55.2 | 11.79 | 59.1 | 199.0 |
|
|
|
|
|
|
+[**Instance segmentation**](https://github.com/sunsmarterjie/yolov12/tree/Seg):
|
|
|
+| Model | size<br><sup>(pixels) | mAP<sup>box<br>50-95 | mAP<sup>mask<br>50-95 | Speed<br><sup>T4 TensorRT10<br>(ms) | params<br><sup>(M) | FLOPs<br><sup>(B) |
|
|
|
+| -------------------------------------------------------------------------------------------- | --------------------- |--------------------- | ------------------------------ | ----------------------------------- | ------------------ | ----------------- |
|
|
|
+| [YOLOv12n-seg](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11n-seg.pt) | 640 | 38.9 | 32.0 | 1.8 ± 0.0 | 2.9 | 10.4 |
|
|
|
+| [YOLOv12s-seg](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11s-seg.pt) | 640 | 46.6 | 37.8 | 2.9 ± 0.0 | 10.1 | 35.5 |
|
|
|
+| [YOLOv12m-seg](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11m-seg.pt) | 640 | 51.5 | 41.5 | 6.3 ± 0.1 | 22.4 | 123.3 |
|
|
|
+| [YOLOv12l-seg](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11l-seg.pt) | 640 | 53.4 | 42.9 | 7.8 ± 0.2 | 27.6 | 142.2 |
|
|
|
+| [YOLOv12x-seg](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11x-seg.pt) | 640 | 54.7 | 43.8 | 15.8 ± 0.7 | 62.1 | 319.0 |
|
|
|
+
|
|
|
+</details>
|
|
|
+
|
|
|
+
|
|
|
## Installation
|
|
|
```
|
|
|
wget https://github.com/Dao-AILab/flash-attention/releases/download/v2.7.3/flash_attn-2.7.3+cu11torch2.2cxx11abiFALSE-cp311-cp311-linux_x86_64.whl
|
田运杰