Add RT-DETR Paddle

This commit is contained in:
Marcos Luciano
2023-11-24 01:47:14 -03:00
parent 758b7a0bb7
commit 9bda315ee0
5 changed files with 290 additions and 5 deletions

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@@ -29,7 +29,8 @@ NVIDIA DeepStream SDK 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 configuration
* Dynamic batch-size for Darknet and ONNX exported models
* INT8 calibration (PTQ) for Darknet and ONNX exported models
* New output structure (fix wrong output on DeepStream < 6.2) - it need to export the ONNX model with the new export file, generate the TensorRT engine again with the updated files, and use the new config_infer_primary file according to your model
* **RT-DETR (https://github.com/lyuwenyu/RT-DETR/tree/main/rtdetr_pytorch)**
* **RT-DETR PyTorch (https://github.com/lyuwenyu/RT-DETR/tree/main/rtdetr_pytorch)**
* **RT-DETR Paddle (https://github.com/lyuwenyu/RT-DETR/tree/main/rtdetr_paddle)**
* **RT-DETR Ultralytics (https://docs.ultralytics.com/models/rtdetr)**
##
@@ -53,7 +54,8 @@ NVIDIA DeepStream SDK 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 configuration
* [DAMO-YOLO usage](docs/DAMOYOLO.md)
* [PP-YOLOE / PP-YOLOE+ usage](docs/PPYOLOE.md)
* [YOLO-NAS usage](docs/YOLONAS.md)
* [RT-DETR usage](docs/RTDETR.md)
* [RT-DETR PyTorch usage](docs/RTDETR_PyTorch.md)
* [RT-DETR Paddle usage](docs/RTDETR_Paddle.md)
* [RT-DETR Ultralytics usage](docs/RTDETR_Ultralytics.md)
* [Using your custom model](docs/customModels.md)
* [Multiple YOLO GIEs](docs/multipleGIEs.md)