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跑BDD100K数据集用于Traffic Object Detection任务，只需要检测图像中的汽车，跑完我mAP50为77.97，但Recall很低，只有不到60，但别人论文中YOLOv8n、YOLOv5s这些网络recall能有80左右，这差的太多了，mAP50我跟他们差不多。何解？
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### Search before asking
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and found no similar bug report.
### Ultralytics YOLO Component
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and found no similar bug report.
### Ultralytics YOLO Component
Pred…
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!yolo train model=yolov8n.pt data=./datasets/v2/data.yaml epochs=150 imgsz=736 project=/models/result/v2 device=0
How can I do it?
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Hi everyone!
I'm using two models, for detection and then classification
Detector YOLOv8n, and it's okay with it
But classifier - EfficientNetB0 has some troubles
Here is how I'm running model o…
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### Search before asking
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Hello.
I am trying to run the Python file from this repository using the given command: python3 deepstream.py -s file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h264.mp4 -c conf…
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Error occurred when executing ExpressionEditor:
PytorchStreamReader failed reading zip archive: failed finding central directory
File "D:\SD_ComfyUI\execution.py", line 152, in recursive_execute…
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请问测试自己训练的单类目标检测yolov8n模型，除了需要改动OBJ_CLASS_NUM为1,还有哪里需要改动（RKNN_C_demo）？
自训练的模型通过RKNN_python_demo测试是正常的。