ElonZhou
ElonZhou
change `cuda = True` to `cuda = False`
sure
> 主页上的结果是未量化的结果 https://github.com/meituan/YOLOv6 量化的结果后续会更新在这里：https://github.com/meituan/YOLOv6/tree/main/tools/partial_quantization 好的，谢谢
> @ElonZhou99 Not as good as in the paper? From the results reported in this project, my YOWO is better than the official YOWO. I am a little confused about...
@yjh041 The new question: Do the train epoch setting(epoch = 4) enough? In my training, the first epoch got mAP66%.
> @ElonZhou99 That's OK. > > On the UCF101-24, I train YOWO and YOWO-Nano with only 5 epochs, so I think epoch=4 is enough. Thank you.
@yjh0410 wow，just 1 epoch can get so high mAP! In my test, I changed the 2D backbone and I did not load any pre-train weight for 2D and 3D backbone....
@yjh0410 And could you test the epoch 1 mAP without any pre-train weight of the backbone? Thank you!
> @ElonZhou99 I agree with you. No pretrained weight of 2D or 3D backbones might be the major reason. I recommend you load the pretrained weight of the 3D backbone...
Thanks, is that mean only the video index in the annotation files will be used, and others auto to skip.