Update Benchmarks + Add YOLOv7-u6 + Fixes
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@@ -1,5 +1,7 @@
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# YOLOv6 usage
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**NOTE**: You need to change the branch of the YOLOv6 repo according to the version of the model you want to convert.
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**NOTE**: The yaml file is not required.
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* [Convert model](#convert-model)
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@@ -29,17 +31,17 @@ Copy the `export_yoloV6.py` file from `DeepStream-Yolo/utils` directory to the `
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#### 3. Download the model
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Download the `pt` file from [YOLOv6](https://github.com/meituan/YOLOv6/releases/) releases (example for YOLOv6-S 3.0)
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Download the `pt` file from [YOLOv6](https://github.com/meituan/YOLOv6/releases/) releases (example for YOLOv6-S 4.0)
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```
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wget https://github.com/meituan/YOLOv6/releases/download/0.3.0/yolov6s.pt
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wget https://github.com/meituan/YOLOv6/releases/download/0.4.0/yolov6s.pt
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```
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**NOTE**: You can use your custom model.
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#### 4. Convert model
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Generate the ONNX model file (example for YOLOv6-S 3.0)
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Generate the ONNX model file (example for YOLOv6-S 4.0)
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```
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python3 export_yoloV6.py -w yolov6s.pt --simplify
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@@ -122,7 +124,7 @@ Open the `DeepStream-Yolo` folder and compile the lib
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### Edit the config_infer_primary_yoloV6 file
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Edit the `config_infer_primary_yoloV6.txt` file according to your model (example for YOLOv6-S 3.0 with 80 classes)
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Edit the `config_infer_primary_yoloV6.txt` file according to your model (example for YOLOv6-S 4.0 with 80 classes)
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```
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[property]
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