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@ -15,6 +15,8 @@ The basic workflow of TensorRTx is:
## News
- `29 Jul 2024`. [mpj1234](https://github.com/mpj1234): Check the YOLOv5, YOLOv8 & YOLOv10 in TensorRT 10.x API, branch → [trt10](https://github.com/wang-xinyu/tensorrtx/tree/trt10)
- `29 Jul 2024`. [mpj1234](https://github.com/mpj1234): YOLOv10
- `21 Jun 2024`. [WuxinrongY](https://github.com/WuxinrongY): YOLOv9-T, YOLOv9-S, YOLOv9-M
- `28 Apr 2024`. [lindsayshuo](https://github.com/lindsayshuo): YOLOv8-pose
- `22 Apr 2024`. [B1SH0PP](https://github.com/B1SH0PP): EfficientAd: Accurate Visual Anomaly Detection at Millisecond-Level Latencies.
@ -28,8 +30,6 @@ The basic workflow of TensorRTx is:
- `18 Dec 2022`. [YOLOv5](./yolov5) upgrade to support v7.0, including instance segmentation.
- `12 Dec 2022`. [East-Face](https://github.com/East-Face): [UNet](./unet) upgrade to support v3.0 of [Pytorch-UNet](https://github.com/milesial/Pytorch-UNet).
- `26 Oct 2022`. [ausk](https://github.com/ausk): YoloP(You Only Look Once for Panopitic Driving Perception).
- `19 Sep 2022`. [QIANXUNZDL123](https://github.com/QIANXUNZDL123) and [lindsayshuo](https://github.com/lindsayshuo): YOLOv7.
- `7 Sep 2022`. [xiang-wuu](https://github.com/xiang-wuu): YOLOv5 v6.2 classification models.
## Tutorials