zahidzqj
zahidzqj
File "/home/dell/anaconda/lib/python3.5/inspect.py", line 1050, in getargspec raise ValueError("Function has keyword-only arguments or annotations" ValueError: Function has keyword-only arguments or annotations, use getfullargspec() API which can support them how to solve?
该仓库提供的预训练会报错，可以使用预训练的sport-1M，需要修改类别和加载的标签文件。
ok, I checked the README , and solved the problem.
A 是三维（3xNxN），图上的Ak是NxN，是怎样转变的，V是怎么处理的？
Why does an error occur when the onnx file generated by export.py is converted to trt_engine, and https://github.com/WongKinYiu/yolov9/issues/79#issue-2153547004 is normal.
> > Why does an error occur when the onnx file generated by export.py is converted to trt_engine, and [#79 (comment)](https://github.com/WongKinYiu/yolov9/issues/79#issue-2153547004) is normal. > > What tensorrt's version you are...
Can you tell me the environment configuration？
修改model_tx为model
>0.2.1版本中是怎么操作的，我转完trt后检测框不对，后来我在这里看个到了代码中关于remove_qdq的操作： https://github.com/meituan/YOLOv6/pull/653/commits/54deb7b233e322d9f57ba1c723b7013c53dd08eb#diff-0e63f33ad384f9d1c2694580813fca6e9fb69e5fae1b8e1c30e896e3484b8b2e 将该部分代码加入工程，然后检测框就正常了。
> I do not know meaning of `device = prediction[1]`. 应该是书写错误了吧 我在运行detect.py时，发现prediction是[[[tesnor ... ], [tesnor ...]], [[tesnor ... ], [tesnor ...]]],在nms的时候必须按照下面的方式获取数据才不会报错，不知道为何会这样： if isinstance(prediction, (list, tuple)): # YOLO model in validation...