thinkthinking
thinkthinking
I think they use tensorrt accelerator in paper. My test in Xavier (using tensorrt accelerate) is as below(Camera is 30fps): 
> @thinkthinking , how did you manage to deploy it on Xavier (I'm struggling). I converted the wts now I need to build engine. > Did you just go to...
> Well, I apologize because I finally just noticed that your papers mentions you used an NVIDIA GTX TITAN XP that also has the same video memory as me. >...
作者在github上的预训练模型包括代码默认都是只识别single class的,如果想要多类别识别,需要进行修改网络结构以及训练参数,重新训练。
> How to change it to 13 which BDD100K has? > > Thanks, 1. search `nc=1`, and change it to `nc=13`; 2. search `single_cls = True`, and change it to...
> 我也想问这个问题,在运行代码后跑出来的结果仅仅只有car的检测结果,没有行人等其他类别的检测结果,我在代码中的train.py中的第252行看到model.nc=1,请问这里的nc是否是指代物体种类(num_class),但我在论文中未看到有说在object detection任务里只检测car这一类 是的,nc是number of classes的缩写, 在[commom.py 178行](https://github.com/hustvl/YOLOP/blob/main/lib/models/common.py#:~:text=self.nc%20%3D%20nc%20%20%23%20number%20of%20classes)有注释。
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