Fix YOLOv8 accuracy
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@@ -38,7 +38,7 @@ wget https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8s.pt
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#### 4. Convert model
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Generate the `cfg` and `wts` files (example for YOLOv8s)
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Generate the `cfg`, `wts` and `labels.txt` (if available) files (example for YOLOv8s)
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```
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python3 gen_wts_yoloV8.py -w yolov8s.pt
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@@ -67,7 +67,7 @@ or
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#### 5. Copy generated files
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Copy the generated `cfg` and `wts` files to the `DeepStream-Yolo` folder.
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Copy the generated `cfg`, `wts` and `labels.txt` (if generated), files to the `DeepStream-Yolo` folder.
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##
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@@ -109,7 +109,7 @@ Open the `DeepStream-Yolo` folder and compile the lib
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### Edit the config_infer_primary_yoloV8 file
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Edit the `config_infer_primary_yoloV8.txt` file according to your model (example for YOLOv8s)
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Edit the `config_infer_primary_yoloV8.txt` file according to your model (example for YOLOv8s with 80 classes)
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```
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[property]
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@@ -117,6 +117,8 @@ Edit the `config_infer_primary_yoloV8.txt` file according to your model (example
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custom-network-config=yolov8s.cfg
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model-file=yolov8s.wts
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...
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num-detected-classes=80
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...
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```
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##
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@@ -137,3 +139,5 @@ config-file=config_infer_primary_yoloV8.txt
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```
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deepstream-app -c deepstream_app_config.txt
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```
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**NOTE**: For more information about custom models configuration (`batch-size`, `network-mode`, etc), please check the [`docs/customModels.md`](customModels.md) file.
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