Add YOLOv8 support
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16
README.md
16
README.md
@@ -8,6 +8,7 @@ NVIDIA DeepStream SDK 6.1.1 / 6.1 / 6.0.1 / 6.0 configuration for YOLO models
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* YOLOX support
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* YOLOv6 support
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* Dynamic batch-size
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* PP-YOLOE+ support
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### Improvements on this repository
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@@ -22,11 +23,12 @@ NVIDIA DeepStream SDK 6.1.1 / 6.1 / 6.0.1 / 6.0 configuration for YOLO models
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* New documentation for multiple models
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* YOLOv5 support
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* YOLOR support
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* **GPU YOLO Decoder** [#138](https://github.com/marcoslucianops/DeepStream-Yolo/issues/138)
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* **PP-YOLOE support**
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* **YOLOv7 support**
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* **Optimized NMS** [#142](https://github.com/marcoslucianops/DeepStream-Yolo/issues/142)
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* **Models benchmarks**
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* GPU YOLO Decoder [#138](https://github.com/marcoslucianops/DeepStream-Yolo/issues/138)
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* PP-YOLOE support
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* YOLOv7 support
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* Optimized NMS [#142](https://github.com/marcoslucianops/DeepStream-Yolo/issues/142)
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* Models benchmarks
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* **YOLOv8 support**
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##
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@@ -44,6 +46,7 @@ NVIDIA DeepStream SDK 6.1.1 / 6.1 / 6.0.1 / 6.0 configuration for YOLO models
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* [YOLOR usage](docs/YOLOR.md)
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* [PP-YOLOE usage](docs/PPYOLOE.md)
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* [YOLOv7 usage](docs/YOLOv7.md)
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* [YOLOv8 usage](docs/YOLOv8.md)
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* [Using your custom model](docs/customModels.md)
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* [Multiple YOLO GIEs](docs/multipleGIEs.md)
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@@ -108,6 +111,7 @@ NVIDIA DeepStream SDK 6.1.1 / 6.1 / 6.0.1 / 6.0 configuration for YOLO models
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* [YOLOR](https://github.com/WongKinYiu/yolor)
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* [PP-YOLOE](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.4/configs/ppyoloe)
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* [YOLOv7](https://github.com/WongKinYiu/yolov7)
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* [YOLOv8](https://github.com/ultralytics/ultralytics)
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* [MobileNet-YOLO](https://github.com/dog-qiuqiu/MobileNet-Yolo)
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* [YOLO-Fastest](https://github.com/dog-qiuqiu/Yolo-Fastest)
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@@ -131,7 +135,7 @@ sample = 1920x1080 video
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- Eval
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```
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nms-iou-threshold = 0.6 (Darknet) / 0.65 (PyTorch) / 0.7 (Paddle)
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nms-iou-threshold = 0.6 (Darknet and YOLOv8) / 0.65 (YOLOR, YOLOv5 and YOLOv7) / 0.7 (Paddle)
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pre-cluster-threshold = 0.001
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topk = 300
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```
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